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Tensorflow Jobs in Boston, MA (NOW HIRING)

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

... TensorFlow) • Ability to perform experiment design, modeling/simulation runs, and associated verification and performance analysis using standard analysis tools (e.g. Python) • Experience with ...

Pragmatike

Principal AI/ML Engineer

Boston, MA · On-site

... TensorFlow, or scikit-learn • Strong proficiency in Python • Experience designing scalable ML systems and pipelines • Ability to operate independently and take technical ownership of complex ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

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 ...

Pragmatike

Principal AI/ML Engineer

Cambridge, MA · On-site

... TensorFlow, or scikit-learn • Strong proficiency in Python • Experience designing scalable ML systems and pipelines • Ability to operate independently and take technical ownership of complex ...

Jobtailor

Senior Data Scientist

Boston, MA · On-site

$140 - $200/hr

Proficiency in Python and modern data science libraries (pandas, NumPy, scikit‑learn, TensorFlow / PyTorch, etc.) * Strong grounding in statistics, machine learning, and applied AI, with ...

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All JobsTensorflow JobsTensorflow Jobs in Boston, MA

Tensorflow information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do tensorflow jobs pay per year?

As of Aug 8, 2026, the average yearly pay for tensorflow in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Boston, MA? The most popular types of Tensorflow jobs in Boston, MA are:
What are popular job titles related to Tensorflow jobs in Boston, MA? For Tensorflow jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Boston, MA look for? The top searched job categories for Tensorflow jobs in Boston, MA are:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Boston, MA as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 70% In-person, 3% Hybrid, and 27% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Senior Machine Learning Engineer ml/python/Wilmington ma

Motion Recruitment Partners, LLC

Wilmington, MA • On-site

$114K - $156K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Job Description
A full-service product development consultancy specializing in medical devices, robotic systems and automation is hiring a Senior Machine Learning Engineer. As a Machine Learning Engineer you will be expected to own the full ML lifecycle, from raw sensor data to a model running on constrained hardware.
In this role you will design and utilize data pipelines for sensor data. Your responsibilities include training, optimizing, and deploying machine learning models for signal processing and anomaly detection on edge devices, collaborating with embedded engineers to integrate and validate inference within device software. Additionally, you will build MLOps infrastructure, participate in sensor selection and validation, and document model development to support both regulatory submissions and internal quality processes.
Required Skills & Experience
  • Strong proficiency in Python
  • Hands on experience in PyTorch or TensorFlow
  • Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
  • Experience building sensor data pipelines
  • Proficiency with MLOps
  • Solid Software engineering fundamentals
  • Proficiency in C or C++
Desired Skills & Experience
  • 5 years of machine learning engineering or applied ML
  • Experience with physiological signal processing for medical or wearable applications
  • Background in robotics, or autonomous systems
  • Experience in a startup or small team
  • Degree in a relevant field
What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data.
  • Build and refine ML models for real-time device applications and performance improvements
  • Work closely with firmware teams to embed and test AI features on hardware platforms
  • Set up and oversee tools for tracking experiments, automating evaluations and managing deployments
  • Analyze model behavior, ensure reliability and resolve issues to maintain highquality outputs
The Offer
  • Bonus OR Commission eligible
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match - if applicable}

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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