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Deep Learning Scientist Jobs in Massachusetts (NOW HIRING)

Iambic Therapeutics, Inc

$148K - $186K/yr

Strong Python experience, including implementing and fine-tuning deep learning models * Demonstrated experience in clinical science or working with clinical datasets * Excellent Data Science skills ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

Author scientific publications and contribute to patent development. * Manage collaborative ... Research experience in applying ML and deep learning techniques to medical image processing ...

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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 Sep 6, 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 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 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 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 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 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, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.

Machine Learning Scientist (Financial Scoring)

Lendbuzz

Boston, MA • On-site

$170K - $200K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Build machine learning and deep learning models based on financial and other modalities like text

  • Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems

  • Design and develop robust, scalable pipelines and services using software engineering best practices

Job description

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a deep understanding of machine learning and statistics and a strong background in data analysis, software development, and communication skills.

 
Responsibilities

  • Build machine learning and deep learning models based on financial and other modalities like text

  • Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems

  • Conduct extensive analysis to better understand our continually evolving datasets and validate model performance

  • Design and develop robust, scalable pipelines and services using software engineering best practices

  • Implement end-to-end solutions, including architecture design, business logic, and deployment

  • Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases

  • Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements

  • Ph.D in Computer Science, Statistics, Mathematics or a related field

  • 2+ years of relevant industry or postdoc experience

  • Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming

  • Deep understanding of machine learning models and algorithms

  • Deep understanding of probability and statistics

  • Strong data analysis skills and experience working with messy real world data

  • Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn

  • Excellent communication skills

A Vibrant Office Culture & Perks

We love collaborating in person, and we make sure our Boston office is a place you actually look forward to coming to every day. At Lendbuzz, we believe in building an energetic, supportive environment that makes your day-to-day workplace experience both rewarding and fun:

Complimentary Lunches: Forget meal prepping! Enjoy delicious, catered lunches on us every Tuesday and Thursday.

Sweet Happy Hours: Take a well-deserved break with the team at our fun happy hours, featuring sweet treats, great conversations, and a fantastic opportunity to unwind and connect.

Smarter Commuting (TMA Benefit): Save money on your daily trek. We offer TMA benefits, allowing you to allocate pre-tax dollars toward your travel and transit expenses to make your commute to the city a breeze.

We believe:
 
Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
 
Compassion is a strength. We care about our customers and look to build long-term relationships with them.
 
Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.
 
Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.
 
Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.
 
If you believe these things too then we would love to hear from you!
 
 
Background Checks
After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant’s or employee’s specific record and the responsibilities and requirements of the particular role.
 
 
A Note on Recruiting Outreach

We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.