Roboticist - Machine Learning Engineer (Boston Dynamics AI Institute LLC)

Roboticist – Machine Learning Engineer (Boston Dynamics AI Institute LLC) – Work cross-functionally to create new technology to improve software development for robots.
Specific duties include:
1. Utilize advanced knowledge of data science to train, deploy, and maintain various complex Machine Learning (ML) algorithms on cloud and on premise infrastructure; 2. Develop process, pipeline, and tools for all components of ML lifecycle (i.e., training, evaluation, and deployment); 3. Build and maintain data, model, and experimentation pipelines; 4. Leverage complex robotics and software technologies and methods to conduct model tuning, algorithm selection, and hyperparameter search; 5. Partner with research and applied science teams to put models into production; 6. Promote quality and reliability through regular code reviews; 7. Collaborate with cross-functional teams to advance robot capabilities and usefulness in the areas of cognitive AI and athletic AI.
Minimum Requirements:
A Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or a related field followed by 4 years of experience in Machine Learning Engineer roles.
Experience must include the following, which may have been gained concurrently:
1) 4 years of experience utilizing C++ or Python to develop and implement high performance machine learning models and algorithms in production environments; 2) 4 years of experience with deep-learning techniques in NLP and Computer Vision; 3) 4 years of experience using data science tools, libraries, and frameworks, including Scikit-learn, caret, mlr, mllib, SparkML, NumPy, SciPy, Pandas, TensorFlow, PyTorch, and MXNet; 4) 4 years of experience with git, issue tracking, CI/CD, and modern software engineering practices; 5) 4 years of experience utilizing machine learning algorithms, including Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, and Random forest; 6) 4 years of experience in Machine Learnings Ops, including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, and continuous learning; 7) 4 years of experience creating orchestration workflows using tools, including AirFlow, Kubeflow, or AWS Step Functions.  Job site: 145 Broadway, Cambridge, MA 02142. Full-time. Salary: $170,000.
To apply, email cover letter and resume, referencing Req. #061454-316, to recruitment@theaiinstitute.com