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Contract Tensorflow Jobs in Massachusetts (NOW HIRING)

Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions ... Proficiency with PyTorch or TensorFlow. * Strong coding skills in Python or C++ (ideally both)

This includes defining the data contracts for model inputs/outputs and implementing the MLOps ... Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar

This includes defining the data contracts for model inputs/outputs and implementing the MLOps ... Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar

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Contract Tensorflow information

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

What jobs use Contract Tensorflow?

Jobs that use Contract TensorFlow typically include machine learning engineer, data scientist, AI developer, and research scientist roles. These positions involve developing, training, and deploying machine learning models using TensorFlow, often requiring skills in Python, deep learning, and cloud platforms. Contract roles may be project-based or temporary, focusing on specific AI or data analysis tasks.

What are the most commonly searched types of Tensorflow jobs in Massachusetts?

The most popular types of Tensorflow jobs in Massachusetts are:

What cities in Massachusetts are hiring for Contract Tensorflow jobs?

Cities in Massachusetts with the most Contract Tensorflow job openings:

Machine Learning Engineer

ICONSTAFF

Cambridge, MA • On-site, Remote

Full-time

Medical, Retirement

Re-posted 25 days ago


Job description

Machine Learning Engineer – Computer Vision & Robotics


Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.

Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.


Responsibilities

  • Design, develop, and optimize ML models for computer vision and robotics tasks.
  • Build robust training and fine-tuning pipelines for large-scale datasets.
  • Integrate ML systems into real-world platforms, bridging research and production.
  • Write clean, efficient, and maintainable code across Python and/or C++.
  • Stay current on research and apply state-of-the-art techniques in autonomy and perception.


Requirements

  • Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
  • Hands-on experience applying ML to computer vision and/or robotics.
  • Proficiency with PyTorch or TensorFlow.
  • Strong coding skills in Python or C++ (ideally both).
  • Experience deploying ML models and building training pipelines.
  • Familiarity with Git and collaborative software development practices.


Nice to Have:

  • CUDA kernel development and model optimization (quantization, pruning, distillation).
  • Experience with ONNX, TensorRT, or OpenVINO for deployment.
  • Robotics middleware (ROS2).
  • SLAM, 3D perception, or sensor fusion (LiDAR, IMU).
  • Real-time or low-latency inference pipelines.


Why Tycho.AI

  • Be part of a rapidly scaling startup defining the future of autonomous intelligence.
  • Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem.
  • Direct impact on national security missions and dual-use commercial applications.
  • Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.