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Python Ml Developer Jobs in Waltham, MA (NOW HIRING)

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

Strong proficiency in Python. * ML Frameworks : Extensive hands-on experience with PyTorch. * ML Knowledge : Experience optimizing machine learning model execution during training and inference ...

Career Renew

Applied ML Engineer

Boston, MA · Hybrid

$190K - $250K/yr

Career Renew is recruiting for one of its clients an Applied ML Engineer - this is a hybrid role in ... Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.

Cooley LLP

Senior AI/ML Engineer

Boston, MA

$113.50K - $155.90K/yr

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering ... Strong proficiency in Python for building and operating LLM-powered applications and agentic ...

Cooley

Senior AI/ML Engineer

Boston, MA · On-site

$113.50K - $155.90K/yr

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering ... Strong proficiency in Python for building and operating LLM-powered applications and agentic ...

Cooley LLP

Senior AI/ML Engineer

Boston, MA · On-site

$113.50K - $155.90K/yr

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering ... Strong proficiency in Python for building and operating LLM-powered applications and agentic ...

Third Way Health

AI / ML Engineer

Cambridge, MA · On-site

About the position We're seeking a Senior ML Engineer to build next-generation AI systems that help ... Strong proficiency in Python, particularly for ML pipelines, frameworks, inference services, and ...

Winaxis

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116.80K - $153.20K/yr

Cloud Infrastructure/AI/ML Engineer (Contract, 12+ months, Hybrid) - Location : Waltham, MA (Hybrid ... AWS, GCP - Proficiency in Python and Bash - Containerization experience (Docker, Kubernetes ...

JLL

AI Dev Lead

Boston, MA

$64 - $84/hr

Responsibilities * 4-6 years' hands-on experience working as Sr AI/ML Developer with at least three ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

... Python programming - comfortable writing clean, modular, and testable code • Expert-level use of deep-learning frameworks (PyTorch, TensorFlow, etc.) • Expert-level use of data-science stacks ...

CarGurus

Manager, Data Science

Boston, MA

Strong working knowledge of Python development best practices and the Python ML ecosystem (e.g ... and engineers). * Experience contributing to the technical direction for a team and a strategic ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

Experience with python, deep learning frameworks (e.g., PyTorch), and high-performance computing is ... Science, AI/ML, Autonomy, Statistics, Electrical Engineering, Systems Engineering, Mechanical ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and ... Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level ...

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How much do python ml developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ml developer in Waltham, MA is $63.24, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $71.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Waltham, MA? For Python Ml Developer jobs in Waltham, MA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Waltham, MA look for? The top searched job categories for Python Ml Developer jobs in Waltham, MA are:
What cities near Waltham, MA are hiring for Python Ml Developer jobs? Cities near Waltham, MA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Waltham, MA as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $131,547 per year, or $63.2 per hour.
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Boston, MA • On-site, Remote

Other

Posted 18 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply