Deep Learning Resume Samples
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Deep Learning Resume Samples
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CR
C Ritchie
Cynthia
Ritchie
232 Hane Trail
Boston
MA
+1 (555) 439 9826
232 Hane Trail
Boston
MA
Phone
p
+1 (555) 439 9826
Experience
Experience
New York, NY
Deep Learning Research Intern
New York, NY
Murphy Inc
New York, NY
Deep Learning Research Intern
- Develop new deep learning networks
- Assist full time researchers with various projects
- Strong background in machine learning and deep learning networks
- Exposure to current tools used by people with disabilities (screen readers and other assistive technologies)
- Optimize neural networks for industry applications
- Develop solution ideas with given objective and constraints
- Base knowledge of the W3C’s Web Content Accessibility Guidelines v2.0
Los Angeles, CA
Deep Learning Software Engineer
Los Angeles, CA
Volkman, McDermott and Wilkinson
Los Angeles, CA
Deep Learning Software Engineer
- Installation, configuration, integration, and management of HPC systems, clusters, operating systems, peripherals, and system interfaces
- Team player who can also be independent, prioritize work and thrives in a fast-paced dynamic environment
- Drive and motivation for career development and open to taking on challenges
- Strong mathematical fundamentals, including linear algebra and numerical methods
- Working directly with key application developers to understand the current and future problems they are solving, creating and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the applications
- Collaborating closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models, including by investigating impact on application performance and developer productivity
- Actively participate in challenging software and hardware research projects focused at applying combination of Deep Learning, Natural Language Processing and Knowledge Representation pipelines to design, analysis and engineering workflows for real world problems
present
Dallas, TX
Research & Technology Manager Computer Vision & Deep Learning
Dallas, TX
Stanton-Douglas
present
Dallas, TX
Research & Technology Manager Computer Vision & Deep Learning
present
- Assist developing brand recognition externally by networking with industry experts, attending conferences and partnering with universities
- Manage, coach and develop midterm up to 12-16 direct reports including temporary staff (contractors, interns)
- Established networks within US academia/research institutions
- Define and manage execution of the Research Group’s business strategy including target definitions, growth areas and business plans
- Participate and lead projects with Siemens businesses, including research & development as well as technical consulting
- Develop and maintain relationships with key universities and institutes to expand technology portfolio and jointly pursue public funding opportunities
- Build Siemens-internal network to acquire projects to achieve the revenue targets; maintain relationships to the business units within Siemens
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Oregon
Bachelor’s Degree in Computer Science
Skills
Skills
- 7+ plus years of related experience
- In depth knowledge of HPC systems/applications and skilled experience in the installation and configuration of operating systems and applications software related to HPC and parallel architectures
- Contribution to research communities and/or efforts, including publishing papers at conferences such at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS, etc
- Show passion for technologies with a can-do attitude
- Drive and motivation for career development and open to taking on challenges
- Team player who can also be independent, prioritize work and thrives in a fast-paced dynamic environment
- LI-JMA
15 Deep Learning resume templates
Read our complete resume writing guides
1
Solution Architect for Deep Learning Resume Examples & Samples
- Be an industry thought leader on integrating NVIDIA technology into HPC architectures to support Scientific and engineering applications
- Be an internal champion for Deep Learning or Data Science among the NVIDIA technical community
- 3+ years of Deep Learning experience
- Experience working with modern Deep Learning software architecture and application
- C programming experience
- Experience with OpenMP, MPI and other parallel programming languages
- Experience with Caffee, Theono, Convnet or other Deep Learning Framework
- Experience working with supercomputing and technical computing customers
- Ability to communicate effectively with customers
- Action oriented with strong analytical and problem solving skills
2
Deep Learning & Computer Vision Software Engineer Resume Examples & Samples
- Prototype and develop deep learning driven computer vision/imaging algorithms for embedded and mobile platforms
- Leverage developments made in other groups such as the research and automotive teams
- Drive the testing, documentation, verification, productization and maintenance of the algorithms and the s/w modules that use them
3
Solutions Architect Deep Learning Resume Examples & Samples
- Assist field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting customer in building innovative solutions based on NVIDIA technology
- Be an industry thought leader on integrating NVIDIA technology into Enterprise Cloud architectures to support Data Analytics and Machine Learning
- Be an internal champion for Data Analytics and Machine Learning among the NVIDIA technical community
- 5+ years of High Performance Computing experience
- Experience working with modern Cloud based Enterprise computing architectures
- Exposure to GPU technology and CUDA programming
- Experience with Convolution Neural Networks and toolkits including CAFFE, cuda-convnet, and others
- Experience working with social networking and social media service providers
- CUDA optimization experience
- Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks
- Education research, Gov. funded research experience
4
Deep Learning Solution Architect Resume Examples & Samples
- Establish and maintain a community calendar of online/offline events and both monitor and report execution of such activities
- CUDA optimization experience, Halide experience
- Masters or PhD in Engineering, Mathematics, Physics, or Computer Science related topics
5
Deep Learning R&D Engineer Resume Examples & Samples
- Apply your broad familiarity with Deep Learning tools and processes
- Engaging in cross platform development in C++
- Co-develop requirements and algorithms for new simulation systems
- Write documentation
- Support content developers
- Practical experience solving real world problems with deep learning
- Significant experience with writing portable code in C++
- Self-motivated, but able to receive constructive feedback and integrate into work
- Excellent team player with very strong work ethic and a collaborative/cooperative attitude
- Passion for graphics and game technology
- An understanding of and appreciation for milestones, schedules, deadlines and efficient game development processes
- B.S. in machine learning, computer science or equivalent study in related fields
- Game engine, CUDA programming, and computer vision experience is a plus
6
Deep Learning Expert for Computer Vision & Face Recognition Resume Examples & Samples
- Generating novel ideas in the fields of multimodal biometrics and face analytics, inventing, designing and implementing new methods to push the boundaries of the field
- Documenting research results through external publications, patent disclosures, seminar participation, and more
- PhD in Electrical Engineering/Computer Science or related fields. Outstanding M.Sc. candidates can also apply
- Academic background in relevant areas, in particular machine learning and/or computer vision. Additional background in deep learning is an advantage
- Industry experience and strong programming skills in C++, Matlab are an advantage
7
Deep Learning & big Data Analysist Resume Examples & Samples
- Developing competitive Deep learning and Big Data solutions to promote Intel platform to inside/outside customers
- Developing and tuning Deep learning framework/application independently, analyzing workload behaviors on CPU/GPU and others
- Understanding DL/HPC computing model and multithreading programming
- Investigating and researching on CPU/GPU architecture to help performance insight
- Working out performance tuning/analysis and/or modeling methodologies innovatively
- Fully self-motivated, passion in pursuing frontier technology and achieving success (key criteria)
- Deep learning and Big Data knowledge
- Good CPU/GPU architecture and HPC software performance tuning knowledge
- Insight into the whole SW stack in PC, like OS, Compiler and Linker
- Good C/C++/OpenCL/Python programming skills
- Strong problem solving, research and analytical capability
- Good both written and oral English
- Mathematical skills would be an added advantage
8
Senior Software Developer for Deep Learning Resume Examples & Samples
- Bachelor or MSc degree in Software Engineering
- Proven work experience in C++
- Experience in both algorithmic and HW-aware performance optimization techniques
- Experience in at least one of these disciplines
- Deep neural networks or machine learning field
- Multithreaded or distributed programming
- Cloud architectures, programming cloud applications
9
Deep Learning Validation Engineer Resume Examples & Samples
- Bachelor or MSc degree in Software Engineering
- Proven work experience in development or validation team, with knowledge of software development and validation methodologies
- Experience with Python, Bash or other scripting language
- Strong problem solving and out-of-the-box thinking skills
10
Software Development Intern for Deep Learning Resume Examples & Samples
- Dedication, proactiveness, passion and focus on results in the area related to software development
- Knowledge and basic experience with C++ and at least one scripting programming language (e.g. Python, Bash)
- Basic experience in using Linux
- Knowledge of English language at the intermediate level (minimum: ability to read documentation and communicate over email)
11
Researcher, Deep Learning Resume Examples & Samples
- Masters or PhD in Computer Science
- Expertise in Machine Learning with a focus on Deep Learning
- Intermediate programming skills in Java, C++, or Python
- Financial experience is not a requirement
- Strong publication record or Open Source contributions in Deep Learning and related areas
- Experience working on practical applications using real-world datasets
12
Student for Deep Learning Research Resume Examples & Samples
- Conduct research in the field of deep learning applied to text analysis
- Efficiently implement algorithms and run experiments on real data
- Integrate algorithms as software components in a complex development environment
- M.Sc. or higher degree student in computer science/engineering (Outstanding 3rd year B.Sc. students may also apply)
- Background in machine learning and deep learning
- Hands on experience in writing code
- Innovative thinking, creative and independent
- 2+ years of academic studies horizon
- Authorized to work in Israel or hold an applicable work permit required by the Israeli law
- Excellent programming and engineering skills
- Experience in natural language processing
- Good research and self-learning skills
13
Deep Learning Cloud Software Engineer Resume Examples & Samples
- 5+ years experience designing and building large scale backend systems in Python
- Strong CS fundamentals in object-oriented design, algorithms, and data structures
- Expertise with these--or similar--technologies: Flask, Django, HTCondor, Mesos, PostgreSQL, Nginx, Docker
- Well-versed in AWS services like RDS, VPC, EBS, S3, EC2, and ELB
- Bonus points for prior experience with front-end web design, machine learning, GPU programming, KVM, SELinux/MAC, NAS, Paxos, highly available distributed systems, performant scale-ready Python, resource-based dynamic scheduling, and system languages such as C, Go or Rust
14
Machine Deep Learning Cloud Solutions Engineering Intern Resume Examples & Samples
- 1+ year experience in the following areas
- SW development, integration and test, including hands on experience with Deep learning frameworks (Neon, Caffe, Tensorflow, MXNet, Torch, Theano) and developing applications on Infrastructure as a Services platforms like AWS, Google AppEngine, Windows Azure, Cloud Foundry
- Deep Learning and different technologies, including CNN and RNN for computer vision, speech, and natural language processing applications
- Experience with variety of software, languages, frameworks, operating systems including Linux, C++, C, Python; Parallel Computing CentOS, MKL, MPI, OpenMP, OpenCV, OpenCL, Hadoop, SQL; Programming using FPGAs
15
Deep Learning Software Engineer Resume Examples & Samples
- Experience in productizing deep learning or/and computer vision algorithms
- Expert knowledge and experience with developing algorithms that must run efficiently on resource constrained platforms
- Excellent programming skills of C/C++ and possibly Python
- Experience with SoCor/and GPU acceleration
- Passion on cutting edge technologies and product delivery
- Thrives under pressure and exploring the unknown
16
Iotg Video Computer Vision & Deep Learning Strateg Resume Examples & Samples
- Experience in Computer Vision and AI/Deep Learning technologies, algorithms, tools, competition, etc.; preference with experience in security & surveillance type use cases (Face, people, object, vehicle, etc.)
- Strong understanding of key technologies, both HW accelerators (GPU, FPGA, CVE, etc) and SW tools (OpenVX / OpenCL / OpenCV, Caffe, and Networks (FastRCNN, Resnet, Alexnet)
- Excellent communication and organization skills, proven history handling various projects at one time
- Proven experience providing marketing communications to sales and training sales teams
- Proficient in developing customer relationships (at AI/DL/CV engineering executive levels)-Experience in developing strategy and analyzing/pitching new business models-Strong consideration given to candidates with a network across Intel in a few of the organizations developing CV & DL platforms (IOTG, PED, SSG, CVG, DCG, NTG, etc.) and/or those with external relationships
- Prefer a technical degree with an MBA and professional experience in both technical and business domains
17
Deep Learning Researcher Resume Examples & Samples
- Ability to capture business requirements and translate them into software specifications
- Closely work with customers, partners and production teams to enhance the solution and systems, troubleshooting data issues etc
- Implement most recent algorithms and approaches for machine learning in collaboration with our data scientists and researchers
- Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans
- Initiates and participates in projects in the area of prediction, optimization, and processes using advanced statistical / mathematical approaches, in the enterprise environment
- Design best architecture and select the most appropriate modeling techniques and data visualization for big data analysis
- Experience in hands-on software development
- Learn quickly new mathematical or technical methods
- Iteratively test, refine and improve the models
- Ph.D. or MS in Computer Science, Electrical Engineering, Statistics, Applied Math or related topics
- At least 2 years of research or work experience in deep learning techniques and frameworks
- Strong background in Machine Learning (Deep Learning)
- Experience in statistical modeling, machine learning, or data mining practice
- Experience in SQL, relational databases, database concepts, dimensional modeling and database design
- Proficient in one or more programming languages such as Java, C++, Python, JavaScript
- Familiar with one or more machine learning or statistical modeling tools
- Strong analytical and quantitative problem solving ability
- Excellent English language skills
- Excellent communication, relationship skills and a strong team player
- Experience with cloud-based SaaS applications
- Strong Industry domain knowledge and experience preferred
- Knowledge in Natural Language Processing preferred
18
Deep Learning Application Developer Resume Examples & Samples
- Help design, develop and maintain Apps for machine learning and deep learning
- Develop requirements through customer interviews and usability tests
- Develop User Interface (UI) designs through prototypes and collaborative design reviews
- Develop appropriate architecture and implement the designs
- Participate in all team activities such as team planning, design discussions and reviews
- Work effectively with other teams to provide a quality product for our customers
- A Master’s degree and 4 years of professional work experience, or a PhD degree is required
- A good first degree in Mathematics, Statistics, Engineering, Physics, or a related discipline from a top tier university
- A relevant PhD or equivalent experience working in a relevant industry
- Statistics, Optimization, Engineering or other related computational mathematics experience
- Object-oriented application development experience (Java or C++ or similar)
- Demonstrated ability to ship products to customers
- Proven skills in architecture, design and implementation of user interfaces
- Experience with technical computing languages such as MATLAB or R
19
Deep Learning Research Engineer Resume Examples & Samples
- Experience in deep networks (CNN, DBN, RNN, DCN)
- Experience implementing deep-learning algorithms in a high-level languages/packages (e.g. C++, Java, MATLAB, or Python)
- Experience with classification and regression algorithms (e.g. SVM, MLP)
- Strong understanding of machine learning algorithms & principles, and numerical optimization
- Experience using machine learning toolboxes (e.g. Caffe, TensorFlow ,Torch7, Theano)
- Experience implementing machine learning algorithms on embedded platforms
- Track record of research excellence and high quality publications
- Knowledge of application areas, such as computer vision or speech analysis
20
Deep Learning Software Engineer Resume Examples & Samples
- Installation, configuration, integration, and management of HPC systems, clusters, operating systems, peripherals, and system interfaces
- Actively participate in challenging software and hardware research projects focused at applying combination of Deep Learning, Natural Language Processing and Knowledge Representation pipelines to design, analysis and engineering workflows for real world problems
- Research, design, and implement algorithms that power knowledge inference and online recommendations, based on Deep Learning, to consume design and engineering data in real-time
- Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences
- Working with customers to understand algorithm requirements and deliver high-quality solutions
- PhD degree in Computer Science, Electrical Engineering, Operations Research, Mechanical Engineering, Statistics or Applied Mathematics. PhD in Machine learning is preferred
- 7+ plus years of related experience
- Applied experience with anyone or more of Natural Language Processing and Deep Learning tools is a must. Skills in optimization, probabilistic reasoning, uncertainty quantification and design analysis are a plus
- In depth knowledge of HPC systems/applications and skilled experience in the installation and configuration of operating systems and applications software related to HPC and parallel architectures
- Outstanding written and verbal communication skills in English are required in combination with excellent analytical and interpersonal skills and can do attitude
- Contribution to research communities and/or efforts, including publishing papers at conferences such at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS, etc
- Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in one or more of following: R, WEKA, Pandas, Octave, Hadoop, Spark, Scala, Matlab, Python, Java, JavaScript
- Outstanding written and interpersonal communication skills in English is required
- Show passion for technologies with a can-do attitude
- Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34
21
Deep Learning Research Intern Resume Examples & Samples
- Implement available deep learning networks
- Optimize neural networks for industry applications
- Develop new deep learning networks
22
Senior Manager for Deep Learning Center of Excellence Resume Examples & Samples
- Build a high-profile team including deep learning experts, developers and data annotators
- Assess feasibility of dozens to hundreds of proposed deep learning use cases across SAP
- PhD in Computer Science related field with strong publication record in deep learning and machine learning (natural language processing preferred, image/video/speech a plus)
- Track record of building impactful products and prototypes
- Strong practical understanding of leading deep learning frameworks
- 20 - 40%
23
Deep Learning Software Intern Resume Examples & Samples
- Convert deep learning network models to C/C++
- Map C/C++ code to multi-core Architecture
- Run system simulator for prototyping and debugging
- Setup and run the FPGA demo
24
Intern, Deep Learning Resume Examples & Samples
- Develop the software for receiving, understanding and testing iteratively the solutions
- Investigate and validate potential approaches with your responsible
- Prototype algorithms based on machine learning / deep learning
- Analyze and report the results, refine the strategies
- Document the code
- Experience with Tensorflow
- Experience with 3D
- Experience with evaluating and integrating new SDKs into existing software
- Knowledge of the Autodesk family of software products, more specifically 3ds Max, Maya, Revit, AutoCAD, Inventor and FBX
- Familiarity with the Agile development process
25
Deep Learning Software Engineering Manager Resume Examples & Samples
- Working with our deep learning framework partners to create scalable solutions that can be used across multiple platforms, products and for a wide variety of uses
- Leading and mentoring a team of strong, creative engineering talent
- Delivering open source projects as software products
26
Developer for Deep Learning Center of Excellence Resume Examples & Samples
- Contribute to building deep learning models solving our customers’ toughest problems
- Lead encapsulation of deep learning models in scalable cloud services
- Work in a diverse team applying Scrum and agile development
- B.S., M.A. or PhD in Computer Science or a related field
- Familiarity with recent advances in deep learning (convolutional neural networks, recurrent neural networks, reinforcement learning, generative adversarial networks, memory networks etc.)
- Hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus)
- Good written and oral communication skills in English; German a plus
- 0-4 years of professional experience
27
Deep Learning Based Object Detection Research Intern Resume Examples & Samples
- We have already collected and annotated RGBD data. The goal will be to build models to detect various types of objects
- Deploy the solution and evaluate the performance of object detection
- Strong background in deep learning and modeling techniques (DNN, ANN, DBN, RNN, CNN)
- Publication records in leading venues are a plus
28
Deep Learning Software Engineer Resume Examples & Samples
- Hands-on experience with developing high performance, multi-threaded and distributed software
- Experience optimizing software systems to support CPU/GPUs/FPGAs and/or ASICS a BIG plus
- Experience using Deep Learning to solve problems in Image or Video analysis a plus
29
Deep Learning & AI Data Manager Resume Examples & Samples
- AA / AS degree in Computer Science, Statistics, Mathematics or related
- 5+ years knowledge in conducting statistical analytics (statistical
- 5+ years ability to manage ETL and data streaming from multiple sources
- 5+ years in developing parallel code and in Big data self learning
30
Deep Learning Software Developer Resume Examples & Samples
- Develop SAS Deep Learning (DL) toolkit on the state-of-art SAS Viya platform
- Implement various SAS DL architectures and algorithms on SMP, MPP, and GPUs for natural language processing, speech recognitions, and text analytics
- Discuss, propose, and implement new ideas and applications within the SAS DL team
- Prototype the speech recognition system
- Master’s degree or Ph.D. in Computer Science, Mathematics, Statistics, or Physics (Machine Learning or Deep Learning is a plus)
- Strong experience with audio signal processing and speech recognitions
- Proven programming skills such as C, C++, or Java
31
HPC & Deep Learning as a Service Business Development Exec Resume Examples & Samples
- True HPC/Big Data solution sales professional
- Excellent knowledge of the UK high performance data analytics market and ecosystem. Ability to engage and sell the value of big data and in-memory computing to the CxO level
- An understanding of cloud based value propositions but also why general purpose clouds are not suitable for HPC
- Excellent customer facing and customer management skills
- Excellent communication skills at all levels: presentation, written and verbal
- Established network within the UK ecosystem including customers, partners and Government
- To be able to run a sales campaign from the ground up, through different stages of the sales cycles
- Respond to tenders sometimes to tight deadlines. To totally own the solution response and coordinate members within other teams in achieving answers
- Work with the pre sales team in qualifying deals, attending sales-led meetings, and provide presentations to clients
- To keep abreast of the Atos Big Data roadmap and how this can influence customer requirements
- Communicate clearly and reliably into a wider project team that will consist of sales, presales, solution architects, project managers, and business development managers
- Can manage workload and priorities independently of manager
- Comfortable working remotely and also working with colleagues in other countries
- Occasional international travel
- Experience of selling cloud solutions
- Experience of Digital Transformation and consolidation solutions
- Experience of working with and developing channel partners
32
Validation Engineer for Deep Learning Resume Examples & Samples
- Bachelor or MSc degree in Software Engineering or related fields
- 1+ years QA/Testing experience
- Proven work experience in Python / Bash
- Proven work experience in using tests automation tools
- Experience in working with hardware and Linux systems
- Ability to learn fast and solve technical issues
- Experience in agile methodologies and understanding of software development lifecycle
- Fluency in English (B2 / C1)
33
Speech With Deep Learning Research Intern Resume Examples & Samples
- Develop deep learning networks for speech, audio, and language processing applications
- Optimize neural networks for embedded systems
- LI-SB1
34
Deep Learning Research Intern Resume Examples & Samples
- Support findings with detailed analysis and simulations
- Implement hardware and software prototypes to evaluate effectiveness of proposed method in a laboratory environment
- Assist full time researchers with various projects
- Currently enrolled in a Computer Science, Electrical Engineering, Mechanical Engineering, Robotics Engineering or Mathematics or Physics post-graduate program (M.S. or PhD) at an accredited U.S. based Institution
- Research/engineering experience in the field of machine learning, data mining, or statistics
- Experience with algorithm design, prototyping and data-driven experimentation
- Fluency in one or more high-level languages, such as MATLAB and Python
- Experience in object-oriented software engineering with languages, such as Java or C++
- Advanced mathematical background (3D geometry, linear algebra, optimization and statistical methods)
- Experience in Deep Learning frameworks (e.g. Theano, Tensorflow)
- Real-time embedded microprocessor, GPU and FPGA systems knowledge
35
Development Manager for Deep Learning Center of Excellence Resume Examples & Samples
- Build a high-profile team including deep learning experts, developers and data annotators
- Assess feasibility of proposed deep learning use cases across SAP
- (collaborating with our business development & strategy teams who assess attractiveness & viability)
- Build machine learning models solving the business problem for prioritized use cases
- Turn the models into scalable production APIs on SAP’s cloud and machine learning platform
- Manage stakeholder relationships with consuming product teams across SAP
- Contribute to and help disseminate latest advances in machine learning across SAP
- PhD in Computer Science related field with strong track-record in deep learning and machine learning
- Proficiency in building impactful products and prototypes
- Strong practical understanding of leading deep learning frameworks
- (TensorFlow preferred, CNTK and MxNet a plus)
- Proven ability to handle senior internal stakeholders and customers
- Experience building and leading teams to top performance
- Strong desire to overcome obstacles and make your findings and research benefit SAP's customers
- Ability and desire to represent SAP’s Machine Learning with superior written and oral communication skills in English; German a plus
- Minimum of 5 years of professional experience in research and/or software development
36
Senior Embedded SW Engineer Deep Learning Resume Examples & Samples
- Significant commercial experience delivering production grade software
- Excellent knowledge of Embedded Programming, RTOS, POSIX Threads, C++, dataflow optimization
- Experience with unit testing, continuous integration
- Experience working on products employing complex algorithmsIdeally have a knowledge of tensorflow, pycaffe, pytorch
37
Validation Engineer for Deep Learning Intern Resume Examples & Samples
- Student in Software Engineering or related field
- Knowledge in one or more fields: QA/Testing -- Python / Bash
- Tests automation tools
- Hardware and Linux systems
- Fluency in English B1 / B2
38
Deep Learning & big Data Analysist Resume Examples & Samples
- Mathematical skills would be an added advantageAbility to understand and/or interpret graphics/media driver requirements and designs based on hardware, operating system or industry specifications
- Experience in kernel/user mode driver programming in mainstream OSes, such as Android, Linux, and Windows
- Experience in DXVA and/or popular Linux/Android media framework
- Experience in performance analysis and tuning
- Experience in compiler front-end development
39
Senior Deep Learning Algorithm Engineer Resume Examples & Samples
- The ideal candidate must have a strong background in Deep Neural Networks (DNN) and up to date with the latest development in this field
- Familiarity with Embedded Artificial Intelligence and and the challenges associated with efficiently deploying complex DNN networks to dedicated hardware platforms in a required quality of the potential hire for this position
- This role includes close interaction with key, market leading customers to support them with deploying DNN solution to their future products, from network design and prototyping to efficient deployment
- It involves working with wider embedded software team to help design of efficient host APIs and optimized embedded solutions
- MS or PhD in CS, Artificial Intelligence or related field
- 5+ years of experience in Machine Learning with at least 2 years focused on Deep Learning
- Significant experience in Deep Learning with academic and industrial track record
- Good understanding of CNNs, RNNs, reinforcement learning, supervised and unsupervised learning
- Strong math background particularly in optimization theory and stochastic algorithms
- Hands on experience with at least one of the following tools: Caffe, Torch, TensorFlow, Theano, or similar
- 2+ years Experience in GPU/Parallel architectures. GPGPU programming languages, APIs, drivers, compilers experience is highly desired
- Understanding of Power and Performance modelling principles and tools is desired
- Knowledge and experience in application areas such computer vision, speech recognition, image processing is highly desired
40
Senior Software Engineer Deep Learning Resume Examples & Samples
- Experience with computer vision or image processing OR
- Experience with performance profiling, characterization and optimization OR
- In depth knowledge of computer architecture
41
J-international Intern Computer Vision & Deep Learning System Engineering Resume Examples & Samples
- You will contribute to industrial research projects on automated perception with applications in service, autonomous systems and/or artificial intelligence
- You will collaborate and exchange ideas with experts in the fields of image analytics, perception, and deep learning
- You will implement concepts and solutions in prototypes, as well as help improve existing modules (e.g. speedup, or quality improvements)
- You will help us quantify and statistically validate algorithm performance based on benchmark datasets
- A current or recently graduated MS student in Engineering, Computer Science or Mathematics
- Experience in statistical evaluation of benchmark data sets
- Experience in advanced algorithm prototyping
42
Software Development Engineer, Deep Learning Resume Examples & Samples
- You will design and implement distributed web-based systems on a highly scalable architecture on AWS
- You will write reliable, highly-performant, production grade C++ server-side code
- You will build and execute strategies and tools for performance measurement and tuning, both at the server/process level and at the systems level
- You will work with researchers to implement and optimize core routines, algorithms, and workflows
- You have a desire to be challenged and have fun in a fast-paced environment
43
Senior Deep Learning / AI Engineer Resume Examples & Samples
- PhD degree in Computer Science, Engineering, Artificial Intelligence, Genomics, Molecular Biology, or related field
- Experience with one or more programming languages including Java, Python, C++, R, or Go
- Strong background in one or more of the following areas: data analysis, natural language processing, computer vision, distributed computing, big data analytics, and machine learning
- Develop novel algorithms for genomics applications
- Develop and apply machine learning/deep learning algorithms to various areas of interest, including variant interpretation, detecting machine anomalies, genomic data analysis, and phenotype-genotype associations
- Develop and apply informatics-based big data techniques to develop new tests and assays
- Build strong collaborative relationships with diverse groups within and outside of Illumina
44
Deep Learning HW Architect Resume Examples & Samples
- Lead the architecture, design, implementation of latest deep learning FPGA IP and solutions
- Work with marketing and lead customers to understand requirements of end to end AI processing pipeline,, identify key requirements and lead the definition of the deep learning IP roadmap
- Interfacing with Deep Learning Software architecture teams for integration with industry leading software stacks
- Work with Hyperscale datacenter and embedded customers to integrate with Xilinx acceleration platform and end applications
- Define and develop reference design and applications to showcase capabilities of developed IP
- Deep understanding of latest deep neural networks (CNN/RNN networks such as GoogleNet, ResNet, LSTM etc) and their applications
- A minimum 7 years' experience with end-to-end architecture definition and development of RTL IP including design, verification and validation
- Demonstrated experience with FPGA design including DSP designs and understanding of floating point and fixed point architectures and quantization techniques
- Experience with methodology, techniques and tradeoffs for DNN/RNN training and inference
- Strong understanding of software integration with frameworks such as Caffe, MxNet, TensorFlow etc
45
Deep Learning Fpga Intern Resume Examples & Samples
- Set up FPGA board with Linux
- Port algorithms in C/C++ to FPGA board
- Map hardware to FPGA
- Measure power consumption on FPAG board
- Demo the deep learning application on FPGA board
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Deep Learning Research Engineer Resume Examples & Samples
- PhD in Computer Science ideally in Computer Vision, Machine Learning or Robotics
- High-profile publications and ideally also published software
- Killer problem solving skills and passion for writing code
- Hands-on Experience with Tensorflow or similar, comfortable with Python/C++
- High attention to detail and diligent, self-driven work-style
- Good collaboration and communication skills, comfortable with agile development
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Senior Software Engineer, AWS Deep Learning Resume Examples & Samples
- Computer Science fundamentals in algorithm design, complexity analysis, problem solving and diagnosis
- Communication: Can translate your thoughts to words and effectively communicate them
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools
- Experience with highly distributed, multi-tenet systems with clear state-full/state-less boundaries
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Intern, Deep Learning Research Resume Examples & Samples
- Deep learning,
- Machine learning,
- Natural language processing,
- Computer vision, or
- Reinforcement learning
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Machine Learning / Deep Learning Expert Resume Examples & Samples
- You will be identify and apply appropriate methods to process and analyze large datasets of labeled and unlabeled records 10GB to 100TBs
- Each record consists of image data, parametric, and categorical data. The tasks may include classification via supervised/unsupervised learning, automated feature generation eg. auto encoders and direct image to label classification
- Experienced in project management and prioritizing multiple active projects simultaneously
- Requires a 5-10 years’ experience working with large datasets 100s of TBs , proficient using tools like, Pandas, Torch, Caffe, and TensorFlow
- Minimum of 3 years’ experience developing machine learning algorithms using image data as training inputs knowledge of image processing
- Certification/completion of online courses like Coursera s Machine Learning, Neural Networks class, Udacitys Machine Learning Engineer, Artificial Intelligence Engineer Nanodegree. Competing and winning Kaggle ML competitions
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Research & Technology Manager Computer Vision & Deep Learning Resume Examples & Samples
- Budget responsibility of a > $3 million budget for the local research group
- Manage, coach and develop midterm up to 12-16 direct reports including temporary staff (contractors, interns)
- Define and manage execution of the Research Group’s business strategy including target definitions, growth areas and business plans
- Contribute to the Technology Field´s strategy and roadmap, and align globally to ensure implementation and execution
- Build Siemens-internal network to acquire projects to achieve the revenue targets; maintain relationships to the business units within Siemens
- Develop and maintain relationships with key universities and institutes to expand technology portfolio and jointly pursue public funding opportunities
- Closely interact with Principals, R&D heads and Technology Field heads
- Participate and lead projects with Siemens businesses, including research & development as well as technical consulting
- Collaborate with experts and peers to secure government grants in relevant domains
- Master degree required, PhD preferred
- 8+ years of experience as researcher and engineer in the area of imaging with a proven track record in academia, industry or military/government
- 3+ years of supervisory experience or program/project management engagement leading teams in an R&D environment required
- Up-to-date technical knowledge in multiple areas of imaging, computer vision and machine learning
- Established networks within US academia/research institutions
- Excellent interpersonal and English language communication skills (written & verbal.) Capable of presenting complex technical topics in a clear and structured way, ability to moderate discussions, meetings, and projects. Proficiency in German is a plus
- Flexibility and adaptability to work in a growing, dynamic and international team with a strong customer service orientation
- Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34
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Machine Learning / Deep Learning Expert Resume Examples & Samples
- Candidate should be open to some (less than 2 weeks) international travel for potential project/or station bring up
- 5-10 years experience working with large datasets (100s of TBs)
- Proficient using tools like, Pandas, Torch, Caffe, TensorFlow
- 3-5 years experience developing machine learning algorithms using image data as training inputs knowledge of image processing
- (Other good qualifications
- Certification/completion of online courses like Coursera's Machine Learning, Neural Networks class, Udacitys Machine Learning Engineer, Artificial Intelligence Engineer Nanodegree
- Competing and winning Kaggle ML competitions.)
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Deep Learning R&D Engineer Resume Examples & Samples
- Background in deep learning, machine learning & big data. Prior experience with binary networks or float16 is a plus
- Strong skills using fixed point or low precision numerical formats for algorithms in fields such as image and audio processing. Ideally this includes experience porting floating point algorithms to fixed point
- Experience designing professional software using Python, C++
- Experience with SIMD acceleration using frameworks such as AVX, OpenCL, CUDA is a plus
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Deep Learning Hardware Intern Resume Examples & Samples
- Run simulations and debug any potential issues
- Update reference model and checkers
- Run regressions
- IND123
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Algorithm Engineer Deep Learning Resume Examples & Samples
- BS Degree in Computer Engineering or Computer Science
- Computer Science fundamentals in algorithm design and problem-solving
- Experienced Programmer in C or C++
- Expertise in Artificial Intelligence/Machine Learning
- Masters or Ph.D. in Electrical/Computer Science/Computer Engineering/Controls Engineering
- Expertise in development of computer vision/image processing algorithms for embedded systems
- Experience in vehicle control systems calibration
- Experience with sensor fusion, machine learning or environmental perception sensors
- Hands-on expertise in robotics and image processing
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Senior Software Engineer, Deep Learning Resume Examples & Samples
- Required experience
- 5+ years production software experience, especially collaboration with moderate to large groups of developers
- Strong background with Python, C++, Linux
- Continuous integration, testing automation
- Design and implementation of developer-facing APIs
- Deep learning, machine learning, or computer vision experience
