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Machine Learning Jobs in Boston, MA (NOW HIRING)

Ayo Semiconductor

Machine Learning Architect

Boston, MA · On-site

About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

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 ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

Transform machine learning models into APIs to interact with other applications. * Use expert knowledge to lead research AI and data science projects. Qualifications Basic Qualifications: * Minimum ...

Suno

Machine Learning Scientist

Boston, MA · On-site

The role involves ownership of technical decisions for building and deploying state-of-the-art machine learning models, requiring a strong background in data engineering and model training.

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

Transform machine learning models into APIs to interact with other applications. * Use expert knowledge to lead research AI and data science projects. Qualifications Basic Qualifications: * Minimum ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

Cartesian

Machine Learning Scientist

Cambridge, MA · On-site

They are seeking a highly motivated, product-oriented Machine Learning Scientist to join their core R&D team and have a direct impact on key positioning algorithms and models. Responsibilities : • ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

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 ...

Bespoke Labs

Machine Learning Engineer

Lowell, MA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Brockton, MA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Lowell, MA

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

Develop and deploy machine learning models for optimal performance and scalability. * Productivity Tools Development: Build tools and services to enhance the ML platform, utilizing technologies like ...

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All JobsMachine Learning JobsMachine Learning Jobs in Boston, MA

Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do machine learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Boston, MA? The most popular types of Machine Learning jobs in Boston, MA are:
What are popular job titles related to Machine Learning jobs in Boston, MA? For Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Boston, MA look for? The top searched job categories for Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning jobs? Cities near Boston, MA with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Boston, MA as of June 2026, with employment types broken down into 2% Internship, 69% Full Time, 15% Part Time, 2% Temporary, and 12% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Machine Learning Architect

Ayo Semiconductor

Boston, MA • On-site

Full-time

Medical, Dental, Vision

Posted 16 days ago

Job description

About Ayo

We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI.

The Role

We are seeking a deep ML practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required.

What You’ll Do:

  • Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips.

  • Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware.

  • Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation.

  • Maintain a deep curiosity about what makes machine learning systems work - and bring that curiosity to bear on how they run on new hardware.

  • Support go-to-market strategy development

What We’re Looking For:

  • PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale.

  • Experience training models at scale - distributed training across many GPUs, working with large datasets and compute.

  • Has built and trained neural networks from scratch

  • Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus).

  • Excitement about applying deep AI expertise to new and novel hardware environments - you don’t need prior experience with photonics or silicon, but you want to learn.

  • Fluent knowledge of Python

  • Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries

Why Ayo

  • You'll be a founding AI team member - shaping how we think about and deploy AI as a company.

  • We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform.

  • Early-stage means real ownership, real impact, and meaningful equity.

  • Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision.

  • Fully onsite in Boston - we are a collaborative, in-person team.