Machine Learning Engineer (Robotics and AI Institute LLC):

RAI Institute; Cambridge (MA); On-site; USD 186,000 - 238,000; Full time

Job summary

RAI Institute in Cambridge, MA is seeking a highly skilled ML Engineer to design, develop, and improve software for robotic applications, focusing on scalable ML pipelines and production-ready models. You will work across cloud and on-prem infrastructure to train and deploy models, and you will build robust ML workflows to support production systems.

You will apply deep learning in NLP and computer vision, collaborate with research and engineering teams, and elevate code quality through peer

Qualifications

• Master's degree in CS/Robotics or closely related field with 4 years ML exp.
• 4 years using C++ or Python for production ML models and algorithms.
• 4 years with Git/CI/CD and modern software engineering practices.
• 4 years ML algorithms: linear/logistic regression, trees, Naive Bayes, KNN.
• 4 years MLOps: model/data lineage, monitoring, deployment, scalability.
• 4 years AirFlow or similar orchestration for ML pipelines.
• 3 years deep learning for NLP and computer vision in production.
• 2 years data science tools: scikit-learn, NumPy, SciPy, Pandas, TF/PyTorch.
• 2 years robotics engineering; 2 years ROS/OpenCV/Open3D.

Responsibilities

• Design systems to explore real world problems with model-based and data-driven methods.
• Train, deploy, and sustain ML models on cloud and on-prem infrastructure.
• Build and refine end-to-end ML pipelines from training to deployment.
• Design robust model architectures with research and engineering teams.
• Improve code quality through peer reviews and best practices.
• Engage with the research environment to stay at the cutting edge of ML.

Skills

C++

Python

ML production

Git/CI/CD

AirFlow

NLP

Computer Vision

Data pipelines

Robotics

OpenCV/Open3D

Education

Masters in CS/Robotics or related

Tools

TensorFlow

PyTorch

Scikit-learn

NumPy/SciPy/Pandas

ROS/OpenCV/Open3D

Job description

Design, develop, and improve software technology used in robotic applications. Reimagine robot prototypes to solve the most important and fundamental challenges in AI and robotics. Architect scalable infrastructure for model training and data processing of high-performance pipelines. Duties include:

• Design systems to explore solutions for real world problems using model-based and data-driven techniques;

• Train, deploy, and sustain machine learning ("ML") models on both cloud and on-prem infrastructure to enhance robotic capabilities;
• Build and refine ML pipelines, encompassing every lifecycle phase from training and evaluation to optimization and deployment;
• Design, test, and implement robust model architectures suited for production in partnership with research and engineering teams;
• Elevate code quality through regular peer reviews and champion best practices in our software processes;
• Engage in our research environment to stay at the cutting edge of advancements in ML architectures, frameworks, and applications.

Minimum Requirements

A Master's degree (or foreign equivalent) in Computer Science, Robotics Engineering, or a closely related discipline plus 4 years of experience in a machine learning-related occupation.

Experience must include the following, which may have been gained concurrently:

• 4 years of experience utilizing C++ or Python to develop and implement high performance machine learning models and algorithms in production environments;
• 4 years of experience with git, issue tracking, CI/CD, and modern software engineering practices to develop, test, and review scalable and maintainable code and pipelines that support the deployment and operation of machine learning systems;
• 4 years of experience using machine learning algorithms, including Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, and Random forest, to select, implement, and evaluate classical machine-learning models;
• 4 years of experience with Machine Learning Ops, including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, and continuous learning, to develop, maintain, test, and deploy production-grade machine-learning systems;
• 4 years of experience creating orchestration workflows using tools, including AirFlow, to design and implement scalable and fault-tolerant data and machine learning workflows for automated model training and evaluation;
• 3 years of experience using deep-learning techniques in NLP and Computer Vision to design and implement robust deep-learning model architectures suite for production environments;
• 2 years of experience using data science tools, libraries, and frameworks, including Scikit-learn, NumPy, SciPy, Pandas, TensorFlow, and PyTorch to develop high-throughput, end-to-end machine learning pipelines, from training and evaluation to optimization and deployment;
• 2 years of experience in robotics engineering;
• 2 years of experience using robotics frameworks and libraries, including ROS, OpenCV, and Open3D, to implement, test, and deploy robotics algorithms and to support robotics systems in production.

Job site: 145 Broadway, Cambridge, MA 02142. Full-time. Salary: $186,160 to $237,900.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.