Roboticist - Machine Learning Engineer (Boston Dynamics AI Institute LLC)
Cambridge, MA
Boston Dynamics AI Institute
Welcome. At the Robotics and AI Institute (RAI Institute), our mission is to solve the most important and fundamental challenges in robotics and AI.
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
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
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Categories:
Deep Learning Jobs
Engineering Jobs
Machine Learning Jobs
Tags: Airflow AWS CI/CD Computer Science Computer Vision Engineering Git Kubeflow Machine Learning ML models MXNet NLP NumPy Pandas Pipelines Python PyTorch Research Robotics Scikit-learn SciPy SparkML Step Functions TensorFlow
Perks/benefits: Career development
Region:
North America
Country:
United States
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