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

Analogdevices

Senior Robot Learning Engineer

Boston, MA

$144K - $198K/yr

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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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?

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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.

Senior Robot Learning Engineer

Analogdevices

Wilmington, MA

$144K - $198K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 hours ago

Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ:ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atwww.analog.comand onLinkedInandTwitter (X).

Senior Robot Learning Engineer

The Dexterous AI Group (DAG) is looking for Robot Learning Engineers to develop core AI technologies for Analog Devices' future AI robotics with generality and dexterity, beyond the reach of traditional algorithms and system innovations, with a strong emphasis on bridging simulation and real-world robotic performance.

Responsibilities include:

  • Contribute the development of advanced learning algorithms for general and dexterous robot using the state-of-the-art techniques.
  • Create sandbox simulations, deployable implementations, and evaluation frameworks for algorithm performance and robustness.
  • Contribute to data requirements, data collection setup and procedure, and data curation.
  • Stay abreast of the latest developments in machine learning and robotics from reputable groups.

Qualifications:

  • Master's degree or equivalent experience, Ph.D. is preferred.
  • 3+ years of research experience in robot learning.
  • Strong background in machine learning and robotics, and experience in:
    • Reinforcement Learning and Imitation Learning for manipulation.
    • Planning and control algorithms (e.g., A*, MPC).
    • Optimization techniques (e.g., linear/nonlinear optimization).
    • Training deep learning models with PyTorch and familiarity with large multi-modal datasets and models.
  • A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, ...)
  • Preferred: familiarity with
    • foundation models and large language models.
    • robotics toolkits (e.g., ROS/ROS2, Mujoco, Isaac)
    • robotic systems and mechanical design

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $144,000 to $198,000.

  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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