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Deep Learning Scientist Jobs in Massachusetts (NOW HIRING)

Bayer

Principal Machine Learning Scientist

Cambridge, MA · On-site

$128K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Involves utilizing various techniques, such as random forests, deep learning, and neural networks ... Engage with the broader scientific community through publications, talks, and open-source; * Keep ...

Bayer

Principal Machine Learning Scientist

Cambridge, MA

$128K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Involves utilizing various techniques, such as random forests, deep learning, and neural networks ... Engage with the broader scientific community through publications, talks, and open-source; Keep up ...

Bayer Inc.

Principal Machine Learning Scientist

Cambridge, MA

$128K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Involves utilizing various techniques, such as random forests, deep learning, and neural networks ... Engage with the broader scientific community through publications, talks, and open-source; * Keep ...

Bayer

$128K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Involves utilizing various techniques, such as random forests, deep learning, and neural networks ... Engage with the broader scientific community through publications, talks, and open-source; Keep up ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

  • Medical

  • Vision

We're venture-backed, early-stage, and building a team that blends deep clinical expertise with ... The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ...

E Ink

Senior Deep Learning Researcher

Billerica, MA · Hybrid

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with scientists to integrate domain knowledge into deep learning architectures and interpret results. * Create tools that make models and predictions transparent and usable. * Promote ...

E Ink

Senior Deep Learning Researcher

Billerica, MA · On-site

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with scientists to integrate domain knowledge into deep learning architectures and interpret results. * Create tools that make models and predictions transparent and usable. * Promote ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Strong proficiency in programming languages such as Python, C/C++, experience with deep learning ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... Strong proficiency in programming languages such as Python, C/C++, experience with deep learning ...

Chewy

Senior Data Scientist

Boston, MA · On-site

$109K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... Develop machine learning, deep learning, and GenAI-enabled solutions using structured, unstructured ...

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All JobsDeep Learning Scientist JobsDeep Learning Scientist Jobs in Massachusetts

Deep Learning Scientist information

See Massachusetts salary details

$41K

$134K

$214.6K

How much do deep learning scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for deep learning scientist in Massachusetts is $134,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $148,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning scientist?

To thrive as a Deep Learning Scientist, you need a solid background in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and proficiency in Python are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex ideas clearly set outstanding candidates apart. These capabilities are essential for developing innovative AI solutions, interpreting results, and collaborating effectively in multidisciplinary teams.

What is the difference between Deep Learning Scientist vs Machine Learning Engineer?

AspectDeep Learning ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; strong background in deep learning frameworksBachelor's or Master's in Computer Science or related fields; proficiency in machine learning algorithms and software engineering
Work EnvironmentResearch-focused, experimental, often in R&D teamsDevelopment and deployment-focused, working on production systems
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, finance, healthcare, and industries deploying ML models

While both roles involve machine learning, Deep Learning Scientists focus on developing advanced neural network models and research, whereas Machine Learning Engineers implement, optimize, and deploy these models in real-world applications.

What is a deep learning scientist?

Deep Learning Scientists are experts who design, develop, and implement advanced machine learning models inspired by the structure and function of the brain, known as artificial neural networks. They work with large datasets to train algorithms that can recognize patterns, make predictions, and solve complex problems in areas such as image recognition, natural language processing, and autonomous systems. Deep Learning Scientists often collaborate with software engineers, data scientists, and domain specialists to deploy models in real-world applications like healthcare, finance, and self-driving cars.

What are some typical challenges faced when working as a deep learning scientist, and how can they be addressed?

Deep Learning Scientists often encounter challenges such as managing large datasets, tuning complex model architectures, and ensuring reproducibility of experiments. Handling these issues requires strong skills in data preprocessing, familiarity with version control systems, and experience with frameworks like TensorFlow or PyTorch. Collaborating closely with cross-functional teams—including data engineers, software developers, and domain experts—can also help in overcoming technical and project-related obstacles. Continuous learning and staying updated with the latest research is essential to excel in this rapidly evolving field.

What are popular job titles related to Deep Learning Scientist jobs in Massachusetts?

For Deep Learning Scientist jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Deep Learning Scientist jobs in Massachusetts look for?

The top searched job categories for Deep Learning Scientist jobs in Massachusetts are:

Deep Learning Scientist jobs near you
Infographic showing various Deep Learning Scientist job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.

Principal Machine Learning Scientist

Bayer

Cambridge, MA • On-site

$128K - $192K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Bayer rating

8.3

Company rating: 8.3 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical

Job description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Principal Machine Learning Scientist
The Principal Machine Learning Scientist will develop novel machine learning algorithms and workflows for accelerating early-stage drug discovery. In this role, you are responsible for constructing, studying, and training algorithms that learn from complex, high-dimensional data to uncover patterns and develop practical predictive models and applications. Involves utilizing various techniques, such as random forests, deep learning, and neural networks, to enhance the predictive capabilities of algorithms, particularly in natural language processing and machine perception. Focuses on simulating human learning activities, improving system performance through data analysis, and developing deep learning frameworks and systems that operate independently of explicit programming instructions. By continuously refining models and exploring new methodologies, contributes to innovative solutions that leverage machine learning for diverse applications.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of the Principal Machine Learning Scientist are to:
  • Develop, evaluate, and apply machine learning algorithms and workflows for accelerating early-stage drug discovery, including but not limited to (i) de-novo design of biomolecules, (ii) assessment of target druggability across therapeutic modalities (iii) design of drug delivery systems, (iv) identification of novel druggable pockets and epitopes, (vi) characterization of protein-protein and protein-ligand interactions;
  • Contribute to the implementation, validation, and improvement of machine learning tools and software solutions that support drug discovery activities;
  • Identify opportunities for accelerating ongoing drug discovery projects with internal and external AI capabilities;
  • Communicate, educate, and engage with a broad set of stakeholders (chemists, biologists, computational/data scientists, R&D leadership) on the state of technology and the progress of key internal initiatives. Engage with the broader scientific community through publications, talks, and open-source;
  • Keep up to date with the latest advances in AI-driven modeling of biomolecular structure and dynamics.

WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
  • Ph.D. degree in Computational Chemistry/Biology, Chem/Bioinformatics, Chemical/Biological/Molecular Engineering, or a related field at the intersection of life sciences and computer science;
  • Deep expertise with state-of-the-art machine learning methods for modeling biomolecules, like co-folding and/or generative methods for protein design;
  • Expertise in handling, processing, integrating and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data;
  • Strong programming skills in Python;
  • Demonstrated commitment to scientific rigor, a track record of scientific excellence, strong analytical thinking, and a high degree of self-motivation;
  • Excellent written and verbal communication.

Preferred Qualifications:
  • 5+ years of relevant post-PhD experience, including 2+ years in industry;
  • Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or Rosetta;
  • Experience in coordinating small, interdisciplinary teams and ability to articulate their impact to managerial stakeholders;
  • Strong record of publications or patents related to machine learning solutions for biomolecular modeling.

Employees can expect to be paid a salary between $128,000.00 - $192,000.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc.
This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 08/12/2026.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location:United States : Massachusetts : Cambridge Division:Pharmaceuticals Reference Code:865491 Contact Us Email:hrop_usa@bayer.com

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About Bayer

Sourced by ZipRecruiter

Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Whippany, NJ, US

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