Senior Machine Learning Engineer Resume Samples

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J Reichel

Jerod

Reichel

69500 Madyson Meadow

New York

+1 (555) 916 0860

69500 Madyson Meadow

New York

Phone

p +1 (555) 916 0860

Experience Experience

Boston, MA

Senior Machine Learning Engineer

Boston, MA

Padberg, Blanda and Gorczany

Boston, MA

Senior Machine Learning Engineer

Analyze, develop algorithms, and deploy solutions based on real-world data
Strong background in one or more of the following areas: machine learning, natural language processing, computer vision, recommendation systems, pattern recognition, large-scale data mining or artificial intelligence
Working knowledge of current techniques and approaches in machine learning and natural language processing (NLP)
Run A/B tests to determine what makes our users the happiest
Small team = big impact. Zillow product development is highly decentralized in order to create the small team speed and autonomy of a start-up environment but backed by big company resources
Assist the implementation and deployment of systems used for data collection, machine learning model training, and deployment of machine learning models
We build highly parallelized, big data, machine-learning applications in the cloud. Sounds like a Mad Lib of marketing jargon, but we’re serious…that’s what you’ll be building

Boston, MA

Senior Machine Learning Engineer

Boston, MA

Mitchell, Mann and Block

Boston, MA

Senior Machine Learning Engineer

Improving the performance of our flagship retargeting product by improving our prediction of ad engagement and user transactional behavior
Coordinating with engineers at the ERL and in Germany on the development of autonomous driving software
Drive the adoption of and innovation in the conversational interfaces space and shape the next generation platform, products, and applications built around these technologies and devices
Designs and implements new machine learning based approaches based on the existing framework
Assist the implementation and deployment of systems used for natural language input and processing, data collection, machine learning model training, and deployment of machine learning models
Building new models to extract more value from the customer data we collect, which will help us know more about users and merchants than anyone else in marketing or retail
Develop high precision classifiers and tools leveraging machine learning, regression and rule-based based models

present

Los Angeles, CA

Senior Machine Learning Engineer, ASR, NLP

Los Angeles, CA

Kassulke Inc

present

Los Angeles, CA

Senior Machine Learning Engineer, ASR, NLP

present

Use machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy
Leverage expertise to develop new technologies, providing growth opportunities in addition to supporting existing 3M products and businesses
Familiarity with bot frameworks and existing Natural Language Engines/frameworks
Work with product managers to formulate the data analytics problem
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Assume ownership over certain components and continuously work to improve them
Fast-moving, developer-driven organization full of brilliant and ambitious people

Education Education

Bachelor’s Degree in Computer Science

New York University

Bachelor’s Degree in Computer Science

Skills Skills

Interest and ability to quickly learn & apply newer machine learning algorithms
Strong programming skills in different OS (Linux, Windows, etc.): C / C++
Knowledge of generating features from sensor technology like camera, lidar, radar, GPS/ D-GPS
Take initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environment
Working knowledge of web technologies and protocols
Good problem solving and analytics skills
In-depth knowledge of various databases such as MongoDB, Redis, Cassandra, Big Query, etc
Strong written and verbal communication skills
Background or strong interest in automotive Engineering
Strong expertise in Machine Learning algorithms

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15 Senior Machine Learning Engineer resume templates

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Senior Machine Learning Engineer Resume Examples & Samples

Apply machine learning techniques on vast data sets
Run small scale experiments with new algorithms and scale it up to MapReduce scale
Hack on Spotify backend software components
Run A/B tests to determine what makes our users the happiest
Take an active interest in our features and our user happiness
Occasionally help out with recruitment

Senior Machine Learning Engineer Resume Examples & Samples

Maintains as well as further enhances existing machine learning modules for autonomous vehicles
Designs and implements new machine learning based approaches based on the existing framework
Coordinates with engineers at the ERL and in Germany on the development of autonomous driving software
Transfers technologies and solutions to Volkswagen Group development divisions
Integrates new software modules into the autonomous vehicle framework
Tests developed modules in the prototype vehicle (unit tests, integration tests, in-vehicle/field tests, etc.)
Analyzes and evaluates conducted tests
Develops technical specifications and documentation
Represents Volkswagen Group in technical community, such as at conferences
3-5 years
MSc
Background in Computer Vision and Machine Learning based applications
Strong programming skills in different OS (Linux, Windows, etc.): C / C++
Knowledge of generating features from sensor technology like camera, lidar, radar, GPS/ D-GPS
Take initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environment
Extracting high level logical structure from low level, multi-dimensional data
Deep Learning, Neural Network
Graphical Models
Object Detection, Image Segmentation, NLP, Scene Understanding
Background or strong interest in automotive Engineering
Experience with CUDA, OpenCV and Python
Embedded Systems Development (GPU)

Senior Machine Learning Engineer Resume Examples & Samples

Maintaining as well as further enhancing existing machine learning modules for autonomous vehicles
Designing and implementing new machine learning based approaches based on the existing framework
Coordinating with engineers at the ERL and in Germany on the development of autonomous driving software
Transfer technologies and solutions to Volkswagen Group development divisions
Integrating new software modules into the autonomous vehicle framework
Testing developed modules in the prototype vehicle (unit tests, integration tests, in-vehicle/field tests, etc.)
Analyzing and evaluating conducted tests
Development of technical specifications and documentation
Represent Volkswagen Group in technical community, such as at conferences
Master's Degree in Computer Science
Strong knowledge of different machine learning algorithms

Senior Machine Learning Engineer Resume Examples & Samples

3 years of experience in Natural Language Processing, Data Mining, Recommendation Systems and/or Probability/Optimization Algorithms
1 year of OOD experience working on backend systems
Experience working with and evaluating open source technologies and demonstrated ability to make objective choices
You are able to apply Machine Learning theory to solve practical problems
You are able to lead projects involving Machine Learning from incubation to large scale production deployments

Senior Machine Learning Engineer Resume Examples & Samples

5+ years of experience with Machine Learning
Experience with SQL, Hive QL, Python, and Map-Reduce/Spark
Experience with Statistical modeling packages, including: Pandas, NumPy, SciPy, StatsModels, PyMC, and Weka
Experience with Machine learning: clustering decision trees, neural networks, affinity analysis
Experience with Predictive modeling: Generalized Linear Models (including but not limited to multi-linear and Logistic regression), Random Forests, ensemble learning
Familiarity with using Lucene/SOLR, Elasticsearch or other Information Retrieval systems
Ability to create prototypes in R, Python, Scala, or Java

Senior Machine Learning Engineer Resume Examples & Samples

Work alongside software developers and software engineers to translate algorithms and incorporate them into commercially viable products and services
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Perform exploratory and targeted data analysis using descriptive statistics and other methods
Develop analytics to address customer needs and opportunities
Work with data engineers on data quality assessment, data cleansing and data analytics
Bachelor’s or higher Degree in Computer Science, Mathematics, Statistics, related field with 5+yrs of experience in Industrial application or software development or equivalent experience
Minimum of 2 years of experience in any of the programming language Java or Python
Minimum 1 year experience in implementing machine learning algorithms
Experience in analytics development for industrial applications in a commercial setting preferred
Strong understanding of machine learning and familiarity with statistical methods and a good grasp of the mathematical underpinning of machine learning methods. Expertise in time series domain will be a plus
Proven experience in implementing and testing machine learning algorithms
Experience with Java WebServices development SOAP, REST APIs preferred
Expertise in using Python data science libraries such as Numpy, Scipy, scikit-learn, matplotlib etc would be a great plus. Ability to profile code and identify bottlenecks would be a great plus

Senior Machine Learning Engineer Resume Examples & Samples

MSc or higher in computer science, statistics, or comparable statistically driven science field
Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, ANN’s, etc
Passion for learning (new problem domains, algorithms, tools etc) and for analyzing data
Fluency in at least one of Python, Java, Scala, C/C++
Working knowledge of Unix/Linux systems
Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL
Familiarity with libraries such as Spark ML, Tensor flow, scikit-learn (or others like H2O, Databricks)
2+ years of industry experience in engineering, data science or related areas
Experience with working on large data sets, especially with Hadoop and Spark
Experience with distributed databases such as MongoDB, HBase, Cassandra etc
Experience with cloud computing platforms such as AWS
Experience with data visualization tools such as Tableau, D3.js

Senior Machine Learning Engineer Resume Examples & Samples

MS/PhD in Computer Science with focus on machine learning, NLP
Strong machine learning basics with algorithmic understanding of general classification, regression and clustering approaches
Experience with Decision Trees, Maximum Entropy/Logistic Regression, Support Vector Machines, Random Forests, K-Means/Hierarchical clustering, Principal Component Analysis(PCA), Matrix factorization
2+ years of industry experience in machine learning,NLP, Information retrieval areas
Interest and ability to quickly learn & apply newer machine learning algorithms
Strong Software Development experience with Java(and/or C++), with scripting & rapid prototyping experience in python,R,MATLAB/Octave
Experience with toolkits like scikit-learn, NLTK,Weka, Mallet,VW

Senior Machine Learning Engineer Resume Examples & Samples

3+ years of experience with end-to-end machine learning algorithm development and deployment (including ETL and data quality analysis)
Experience leading teams that deliver complex ML applications solving real world problems
3+ years of experience with feature engineering and trade-offs between various machine learning algorithms
3+ years of experience developing deep learning models using tools such as Caffe, Tensorflow, Theano, Torch, Keras, etc
5+ years of hands-on programming experience (Python/R or C++, preferably both)
Experience with revision control software (Git preferred) and related development best practices
Experience with code documentation and unit testing
Experience with database development/application integration
Application development (mobile, web)
Excellent analytical skills and ability to learn with minimal oversight
Enjoy working in an interdisciplinary, fast-moving team environment

Senior Machine Learning Engineer Resume Examples & Samples

Design, implement, test and sustain automated data analysis and classification systems using big data analysis and machine learning techniques
Use machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy
BS in Computer Science, Mathematics, Statistics or related field; or equivalent experience
5+ years' progressive experience developing highly scalable machine learning/deep learning based applications and services
Experience working with large unstructured and structured datasets
Background in statistical analysis, modeling, optimization, data visualization
Excellent programming skills in one of more of the following : Java, R, Python, Perl, C/C++, Unix shell
Good understanding of security, encryption and controls needed to protect information
Strong analytical and problem solving skills
Familiarity with Agile development methodology is a plus

Senior Machine Learning Engineer Resume Examples & Samples

Work alongside scientists, designers and research engineers to provide analytic insight into Dyson’s research challenges and support to operational issues
Perform investigatory analysis of large multivariate datasets, suggesting novel techniques for data collection during future experiments and field trials
Identify opportunities to apply machine learning techniques to extract meaning and derive value
Characterise classifier or algorithm performance against defined project objectives; proposed implementation environment; and associated computational constraints
Collaborate with research engineers to recommend improvements to data collection and experimental strategy to optimise system performance
Application of statistical methods to establish confidence in findings
Design and develop clean, documented, and easy to maintain code
Integrate software builds with the corporate CI environment where appropriate
Produce reports and presentations summarising progress against team and project goals, effectively and engagingly presenting complex technical information and analysis to senior management
Work independently to manage tasks with competing priorities
Collaborate with academic and industrial partnerships to leverage externally available expertise, where appropriate
Doctoral degree or Master of Science degree in Engineering, Computer Science, or Applied Mathematics
Expert knowledge of machine learning algorithm development and implementation in complex systems including hardware, software application and cloud-based components
Demonstrable machine learning or data science experience with a proven track record outside of academia, ideally working with Agile development methodologies
Feature extraction, time series analysis, signal processing, and statistical modelling
Ability to program in both high and low level languages as appropriate, including Java and Python. C and C++ experience is desirable
Experience applying machine learning and data science techniques in a distributed processing environment against large quantities of data, e.g. Hadoop, AWS, GCE, TensorFlow
Enthusiasm to learn and share new methods and techniques within several areas of technical expertise

Senior Machine Learning Engineer Resume Examples & Samples

3+ years commercial machine learning experience
Solid foundation in machine learning, data structures, algorithms, and software design
A strong understanding of machine learning theory
Senior-level OOP programming experience. You do need to be able to build prototypes and be able to understand the existing code base
Senior-level Python and/or Java programming experience for is highly desired
Experience of NoSQL solution development such as Spark or MongoDB is plus
A principled approach to solving algorithmic problems with a focus on delivering business value
High attention to detail and ability to thoroughly think through problems
Highly motivated, highly collaborative individuals
Excellent written and oral communication skills on both technical and non-technical topics
Bachelors or Masters in Computer Science or Engineering
Machine Learning or Statistics skills highly desired

Senior Machine Learning Engineer Resume Examples & Samples

Work on cutting edge problems in applied AI and ML
Use both supervised and unsupervised learning methods
Work with both structured and unstructured data
Integrate AI and ML into smart home applications that solve real problems. The problems span security, energy management, communication and health
Experience with distributed applications
Experience with Java or Scala
Experience with common machine learning libraries
Experience with any of the following technologies is a plus
M.S. in Computer Science or related field
3+ years work experience in AI or ML

Senior Machine Learning Engineer Resume Examples & Samples

Work alongside scientists, designers, and research engineers to provide analytic insight into Dyson’s research challenges and support to operational issues
Characterize classifier or algorithm performance against defined project objectives, proposed implementation environments and associated computational constraints
Collaborate with research engineers to recommend improvements to data collection and experimental strategy to optimize system performance
Apply statistical methodologies to establish confidence in findings
Design / develop clean, documented and easy to maintain code
Produce reports / presentations summarizing project progress, effectively/engagingly presenting complex technical information and analysis to senior management
MS degree or PhD degree in Engineering, Computer Science, or Applied Mathematics
Expert knowledge of machine learning algorithm development & implementation in complex systems including hardware, software application and cloud-based components
Feature extraction, time series analysis, signal processing and statistical modelling
Ability to program in both high and low level languages, as appropriate (Java and Python)
C / C++ experience is desirable
Experience applying machine learning & data science techniques in distributed processing environment against large data sets (Hadoop, AWS, GCE, TensorFlow)

Senior Machine Learning Engineer Resume Examples & Samples

5+ years of experience in advanced data analytics, mathematical modeling, operations research, quantitative analysis or data modelling (using R/Python/SAS)
3+ years of experience in data engineering and mining data from structured, unstructured using one or more of following technologies – Hadoop/Cosmos/Spark
2+ years of experience with Data presentation tools like Power BI/Tableau/Qlik or equivalent
Bachelors or higher degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Ability to form questions/ hypothesis about the business and then follow through on them through data analysis and reporting
Excellent business analysis experience from data sourcing to analysis to executive presentation of findings
Exceptional communication skills, customer focus and necessary expertise in formal and informal testing techniques as well as quality measurement
Consistent record on shipping service-based products that operate at scale
Self-motivated and comfortable dealing with the ambiguity of V1 and incubation work
Work with the business team to rapidly translate high value scenarios into new service capabilities
Direct customer engagement
Knowledge of REST API and Azure development
PowerBI, database design and query optimization

Senior Machine Learning Engineer Resume Examples & Samples

Strong interest in Artificial Intelligence, Machine Learning, or related fields
Capable of quickly becoming familiar with new approaches to Machine Learning
Fluency in English and a good communicator both orally and in writing
Excited about working on a team of highly diverse, creative people, all aiming for the same goal and mutually supportive of each other
You are an expert on or have experience with Machine Learning
You are deeply curious and knowledgeable about search engines, databases, and other data systems
You have some experience working with Hadoop, HBase, Spark, etc
You have been exploring or working on some of the latest advancements in the deep learning space like TensorFlow
You enjoy a fast-paced work environment

Senior Machine Learning Engineer Resume Examples & Samples

Minimum four years of solid hands-on experience applying machine learning techniques to build models integrated into applications. Additional experience with data visualization, data analytics and data mining
Strong analytic problem solving skills, and an aptitude for learning systems quickly
Strong software development skills with proficiency in Python (applied background in Hadoop, Spark, Hive, Cassandra, and knowledge of R is a plus)
Experienced user of machine learning and statistical-analysis libraries, such as GraphLab Create, scikit-learn, scipy, NetworkX, Spacy, and NLTK
Experience with deep learning frameworks, such as mxnet, Torch, Caffe, and TensorFlow
Strong working knowledge of ML algorithms including decision trees, probability networks, association rules, clustering,, regression, and neural networks
High level of autonomy and influence to unblock delivery of results (evaluate and solve difficult problems involving various teams ranging from data instrumentation to analytics tool development)
A strong desire to establish standards of "Best Practice”
Ability to analyze existing database schema DDL/instance layout and determine impacts migrating to new target schema/instance environment
Ability to explain and present analyses machine learning concepts to a broad technical audience

Senior Machine Learning Engineer Resume Examples & Samples

Experience using big data platforms such as Spark or Hadoop
Experience with large-scale graph analysis
Expertise in reading comprehension and related AI tasks

Senior Machine Learning Engineer Resume Examples & Samples

Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment. Provide support and insight to development teams responsible for implementation of machine learning techniques in a native headunit environment
Present and demo research topics to Daimler internal groups, and at external events such as academic conferences and tradeshows
Define, interface and manage relationships with other teams within MBRDNA and Daimler organizations
Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
Bachelors, Computer Science, Electrical or Mechanical Engineering, or related fields
Solid knowledge in using a scientific computing framework (example: scipy, R, matlab), or strong programming and software development skills
Deep understanding of machine learning fundamentals. Ability to keep up with the bleeding edge of research in the field, understand its ramifications, and immediately apply it to the betterment of our products
Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands
Ability to collaborate effectively and pro-actively in cross functional development teams
Excellent communication, especially written, and organizational skills
Experience leading research topics through a full research pipeline: from concept to proof and validation
Very strong interest and passion in machine learning and related fields
Existing publications related to machine learning or statistics
Experience with big data and web technologies

Senior Machine Learning Engineer Resume Examples & Samples

Develop high precision classifiers and tools leveraging machine learning, regression and rule-based based models
Work on projects involving RNNs, CNNs, classical AI techniques, PoS tagging, Unsupervised learning, and Deep reinforcement learning
End to end ownership of Machine Learning systems - data pipelines, training and inference engines
Apply expert software development skills to a wide range of ML-related projects

Senior Machine Learning Engineer Resume Examples & Samples

Serve as the dedicated engineer to the Economics and Data Sciences team here at HomeAway
Work on larger programs/initiatives encompassing several projects that have a company-wide impact
Assist the implementation and deployment of systems used for data collection, machine learning model training, and deployment of machine learning models
Be an authority in the Deployment and Scoring phase of model development
Articulate storytelling to business & product leaders - i.e focus on telling the “business” story that the data shows (and abstract the data complexities and process involved) and have a strong influence on the audience
Work closely with various Product, Business and Engineering teams
5+ years of experience in Software Engineering, Machine Learning, Data Science and analytics fields
Experience with programming languages such as Java, R, Python, and Scala
Experience with AWS and distributed systems
Experience working in Hadoop ecosystem
Experience working with Big Data
Strong database knowledge and expertise in SQL
Experience implementing and deploying various Machine learning models
Good storytelling and presentation skills i.e be able to present business side of the story that data presents to c-team and business leaders
Masters or Ph.D in Statistics, Math, Computer Science or other quantitative field

Senior Machine Learning Engineer Resume Examples & Samples

5-7 years of experience in Machine Learning
Programming experience in Python
Strong expertise in Machine Learning algorithms

Senior Machine Learning Engineer Resume Examples & Samples

Master degree in Computer Science or relevant Engineering discipline
2-3+ years working in AWS or Google Cloud Platform environment
8+ years working in Linux/Unix environment
Expert level skills with Python language and various libraries like NumPy, SciPy, Sci-Kit Learn, etc
In-depth knowledge of various databases such as MongoDB, Redis, Cassandra, Big Query, etc
Good problem solving and analytics skills
Working knowledge of web technologies and protocols
Experience in building data pipeline
Ability to work with product teams and collaborate with others to clarify the requirements

Senior Machine Learning Engineer Resume Examples & Samples

Leverage expertise to develop new technologies, providing growth opportunities in addition to supporting existing 3M products and businesses
File patent applications, publish in top-tier journals, and present at appropriate conferences
Collaborate with research teams in corporate research and business labs on building capabilities and applications that use his/her scientific, mathematical, and computational skills
Analyze, develop algorithms, and deploy solutions based on real-world data
Master’s degree or higher in a science or engineering discipline from an accredited university
Minimum of one (1) year of experience working with real world data in an industrial, academic, and/or national lab environment (an Internship or Co-op is considered qualifying)
Master's degree or higher in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics or related discipline from an accredited university
Experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics in industry or national lab environment
Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++ and/or R)
Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns
Strong problem solving skills
Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available
Demonstrated scientific excellence as evidenced by publications and presentations
Leadership and networking skills

Senior Machine Learning Engineer Resume Examples & Samples

Serve as the dedicated engineer to the Conversational User Interfaces team here at HomeAway (new team)
Assist the implementation and deployment of systems used for natural language input and processing, data collection, machine learning model training, and deployment of machine learning models
Be an authority in Conversational Interfaces design and AI applications built on top of these interfaces
Drive the adoption of and innovation in the conversational interfaces space and shape the next generation platform, products, and applications built around these technologies and devices
Tailor machine learning solutions to address business problems in a cross functional team setting
Masters or Ph.D in Statistics, Math, Computer Science or equivalent
10+ years of experience in Software Engineering, Machine Learning, Data Science and related fields
Experience with applied Machine Learning / Natural Language Processing / Deep learning in the industry
Solid knowledge of deep learning, text/image recognition techniques and machine learning models
Knowledge of NLP techniques such as PoS tagging, query pre-processing/re-structuring, deep/shallow parsing, etc
Familiarity with bot frameworks and existing Natural Language Engines/frameworks
Experience with programming languages such as Python, R, Java, and Scala

Senior Machine Learning Engineer, ASR, NLP Resume Examples & Samples

Optimization strategies
Network design
Testing

Senior Machine Learning Engineer Resume Examples & Samples

0 GPA minimum on a 4.0 scale (cumulative)
Demonstrated expertise in deep learning / artificial neural nets
Experience in deep learning, machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics in industry or national lab environment

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