Machine Learning Scientist Cover Letter

I submit this application to express my sincere interest in the machine learning scientist position.

In the previous role, I was responsible for critical feedback to Imaging Engineers regarding data quality and help develop tools to assess imaging data real-time in production;.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• In depth knowledge of advanced statistical theories, methodologies, and inference tools
• Proven track record in advanced topics of Machine Learning (e.g., Bayesian inference, hierarchical models, deep learning, Gaussian processes, causal inference, graph theory)
• Advanced programming skills in Python and R (and their related data processing, Machine Learning, and visualization libraries)
• Significant commercial machine learning experience (not necessarily in a production engineering role)
• Mid-level programming experience
• Act as a technical expert, and lead projects
• The role will sit at the heart of new initiatives in machine learning and computer vision, and will co-lead the development of product strategy with the product managers
• BS or MS in Computer Vision, Machine Learning, or related field

In response to your job posting for machine learning scientist, I am including this letter and my resume for your review.

Previously, I was responsible for leadership and guidance on the development and monitoring of ongoing data engineering pipelines and the delivery of ML models from prototypes to production.

Please consider my qualifications and experience:

• Experience using machine learning techniques to solve problems involving high-dimension unstructured data would be an advantage
• Expertise in at least one programming/scripting languages Python, R, C++, and high-performance computing
• MS in computer science, machine learning, statistics or in a highly quantitative field
• Real-world experience with machine learning algorithms for classification, regression, clustering, reinforcement learning, dimensionality reduction with expertise application domains of NLP, image processing, time series analysis
• Skilled in Python, experience with Pandas, Scikit-learn and R
• Experience with of the DNN frameworks, including CNTK, MXNet, TensorFlow, Caffe/Caffe2, PyTorch
• Strong publication record in top conferences and journals
• A demonstrable track record of developing novel algorithms, solutions and delivered/deployed projects in the area preferred

In response to your job posting for machine learning scientist, I am including this letter and my resume for your review.

In my previous role, I was responsible for thought leadership on the latest ML and AI technologies and applications, particularly in the social good/impact space.

Please consider my qualifications and experience:

• Experience with Hive and database access languages such as SQL
• A data-driven personality (as opposed to a theory-driven personality)
• Publications in top-tier conferences or journals
• Work closely with key partners to understand business requirements, and then architect, develop, deploy, and maintain analytical systems
• Deliver data science software solutions against aggressive schedules
• Experience building highly scalable and highly available large-scale platform infrastructure and distributed systems for commercial online services
• Strong fundamentals in algorithms, data structures, and coding
• Experience developing & deploying large-scale data science applications

In response to your job posting for machine learning scientist, I am including this letter and my resume for your review.

In my previous role, I was responsible for expert ML/DL advice, consultancy services, and training events to scientists and users of NERSC computing resources.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Affinity to the research way of working or experience with analysis of sequential data
• Experience with tools such as R, Python, etc
• PhD in machine learning
• Expert in approximate inference for Deep Gaussian Processes
• A MS in computer science, machine learning, statistics, data science or in a highly quantitative field
• Knowledge of probabilistic and statistical techniques and algorithms, such as k-Nearest Neighbor, Naive Bayes, SVM, Hidden Markov Model
• Knowledge of Pharmacy or Healthcare industry
• Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence)

Please consider me for the machine learning scientist opportunity. I am including my resume that lists my qualifications and experience.

In my previous role, I was responsible for feedback on systems making use of ML services; monitor the quality of the ML systems.

My experience is an excellent fit for the list of requirements in this job:

• Scientific expertise and applied experience in Machine Learning (ideally, a combination of excellent academic research and high-impact commercial projects)
• In depth knowledge of advanced statistical theories, methodologies, and inference tools (e.g., hypothesis testing, (generalized) linear models, additive models, mixture models, non-parametric models)
• Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference
• Completion of at least one significant project (equivalent of a great PhD research project, and/or a high-impact commercial project) in applied Machine Learning
• Skilled in Python, experience with Pandas, Scikit-learn, Hadoop/Spark
• Familiar with programming languages such as Python, Scala, and Java
• Experience with big data technologies like Hadoop, Pig, Spark
• Master or PhD in machine learning, operations research, applied mathematics or a related engineering field