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Deep Learning Engineer Jobs in Boston, MA (NOW HIRING)

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

  • PTO

Beacon Biosignals is seeking a Machine Learning engineer! As part of Beacon's analytics and machine ... Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

Socket.dev

Machine Learning Engineer

Woburn, MA · On-site

$115 - $140/hr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

STR

Machine Learning Engineer

Boston, MA · On-site

$115K - $140K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

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 ... Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

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 ... Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

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 ... Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Cognex

Senior Machine Learning Engineer

Natick, MA · On-site

$115K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research, design, and implement efficient deep learning models forindustrialmachine vision tasks,with a focus on algorithms with low power, low latency and data efficiency requirements * Collaborate ...

Apple

Machine Learning Engineer - Health AIML

Cambridge, MA

$216K - $394K/yr

  • Medical

  • Dental

  • Retirement

Description In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning ...

Apple

Machine Learning Engineer - Health AIML

Cambridge, MA

$216K - $394K/yr

  • Medical

  • Dental

  • Retirement

Description In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning ...

STR

Machine Learning Engineer

Woburn, MA

$115K - $140K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and ... Solid grounding in software engineering fundamentals, data structures, and algorithms

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and ... Solid grounding in software engineering fundamentals, data structures, and algorithms

Analog Devices

Senior Robot Learning Engineer

Boston, MA · On-site

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Robot Learning Engineer The Dexterous AI Group (DAG) is looking for Robot Learning Engineers ... Training deep learning models with PyTorch and familiarity with large multi-modal datasets and ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Boston, MA

Deep Learning Engineer information

See Boston, MA salary details

$41.3K

$125.9K

$208K

How much do deep learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for deep learning engineer in Boston, MA is $125,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,600.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

What are the most commonly searched types of Deep Learning Engineer jobs in Boston, MA?

The most popular types of Deep Learning Engineer jobs in Boston, MA are:

What are popular job titles related to Deep Learning Engineer jobs in Boston, MA?

For Deep Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Deep Learning Engineer jobs in Boston, MA look for?

The top searched job categories for Deep Learning Engineer jobs in Boston, MA are:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,874 per year, or $60.5 per hour.

Principal Machine Learning Engineer, Foundation Models

Cambridge Mobile Telematics

Cambridge, MA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Principal Machine Learning Engineer on the DriveWell Atlas team, you will be at the forefront of developing these next-generation AIs. You will lead innovative projects focused on designing, pre-training, fine-tuning, and deploying these AIs. Your work will directly contribute to enhancing our capabilities in risk assessment, driver engagement, and crash and claims processing. This role requires a deep understanding of modern AI methods, machine learning, physics-informed modeling, and experience with sensor data. We are not tweaking existing models for marginal gain. You will have an opportunity to build a first-of-its-kind LLM from petabyte-scale data.
CMT is looking for a Principal Machine Learning Engineer, Foundation Models to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility - understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.
Responsibilities:
  • Use independent judgment and discretion to lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics
  • Develop and implement novel algorithms for modeling both automotive physics and human driving behavior
  • Pioneer advanced self-supervised learning techniques, including the design and implementation of innovative tasks tailored to multi-modal telematics sensor data to learn rich representations of movement and driver behavior
  • Develop models robust to noise, missing data, and diverse operating conditions typical of real-world mobile sensor and IoT datasets
  • Build and manage scalable training and inference pipelines using tools like Ray, PyTorch DDP, Horovod, or similar frameworks
  • Integrate these AIs into production systems while ensuring high performance and reliability
  • Optimize these AIs for efficient deployment on various platforms, including cloud and edge/mobile devices
  • Collaborate closely with engineering, product, and research teams to translate cutting-edge research into impactful products and features for the DriveWell Atlas platform
  • Mentor junior scientists and contribute to the broader AI/ML strategy at CMT
  • Stay abreast of the latest AI advancements, evaluating and adopting emerging technologies and methodologies relevant to telematics
  • Contribute to efforts in AI explainability and interpretability
  • Complete any tasks as they arise

Qualifications:
  • Bachelor's degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
  • 7+ years of professional experience in AI/ML
  • 3+ years of hands-on experience developing and deploying foundation models, with a strong portfolio in generative AI for sequential or spatio-temporal data
  • Strong, hands-on experience in building and training time-series transformer architectures for complex sensor fusion and behavioral modeling tasks is required
  • Deep expertise in designing pretraining tasks for self-supervised learning on noisy, real-world sensor data
  • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn)
  • Extensive experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow for large-scale model training and deployment
  • Solid understanding and practical experience with distributed training techniques and efficient training methodologies for large models
  • Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, Google Cloud Platform, Azure)
  • Excellent problem-solving skills and the ability to translate complex business problems into tractable AI-based solutions
  • Strong verbal/written communication and collaboration skills, with the ability to effectively convey complex technical concepts to diverse audiences
  • Product-focused thinking with a proven ability to deliver impactful AI solutions

Nice to Haves:
  • PhD or Master's degree preferred
  • Experience with MLOps practices and tools for managing the lifecycle of machine learning models
  • Publications in top-tier AI/ML conferences or journals
  • Familiarity with techniques for model interpretability and explainability (XAI)
  • Awareness of ethical AI principles, bias detection, and mitigation strategies in machine learning models, including experience with or understanding of model guardrails

Compensation and Benefits:
  • Fair and competitive salary based on skills and experience, and annual performance bonus
  • Equity may be awarded in the form of Restricted Stock Units (RSUs)
  • Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
  • Unlimited Paid Time Off including vacation, sick days & public holidays
  • Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range
  • The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA

Additional Perks:
  • Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
  • Join an industry leader - 65 million drivers protected, powering 140+ programs across 25 countries
  • Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good. CMT is also Great Place to Work Certified
  • Be part of the team inventing the future of mobility and road safety
  • Move fast, own outcomes, do work that matters
  • High ownership, small teams, and direct access to leadership - no layers between your work and its impact
  • Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
  • Summer Fridays provide team members with half days to recharge
  • Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
  • Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:
At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit and follow us on Instagram @cmt.ai
About Cambridge Mobile Telematics:
Cambridge Mobile Telematics (CMT) is the world's largest telematics and AI company for safer mobility. Its mission is to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion , proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT's technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at

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