Robotics ML Engineer - Production-Grade AI Systems

RAI Institute

Cambridge (MA)

On-site

USD 186,000 - 238,000

Full time

44 hours ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

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.