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Machine Learning Quant Jobs in Massachusetts (NOW HIRING)

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Machine Learning Quant information

See Massachusetts salary details

$57.3K

$130.1K

$214.6K

How much do machine learning quant jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning quant in Massachusetts is $130,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning Quant job?

A Machine Learning Quant is a specialist in quantitative finance who applies machine learning techniques to develop trading strategies, manage risk, and analyze financial data. They leverage statistical models, deep learning, and reinforcement learning to identify patterns in market data and optimize predictions. This role typically involves programming in Python or C++, working with large datasets, and collaborating with traders and researchers. Machine Learning Quants are employed by hedge funds, investment banks, and proprietary trading firms to gain a competitive edge in financial markets.

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

To thrive as a Machine Learning Quant, you need strong skills in quantitative analysis, programming (often in Python or C++), statistical modeling, and a solid foundation in applied mathematics, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), financial data platforms, and certifications such as CFA or advanced degrees can be advantageous. Critical thinking, collaboration, and clear communication are key soft skills that enhance effectiveness in working with both technical and non-technical stakeholders. These competencies are crucial for building and validating models that inform high-stakes financial strategies and deliver value in fast-paced trading environments.

What are typical daily responsibilities for a Machine Learning Quant in a financial firm?

As a Machine Learning Quant, your day often involves researching and developing predictive models using large financial datasets, backtesting quantitative strategies, and optimizing algorithms for speed and accuracy. You'll collaborate closely with traders, data engineers, and other quants to implement models in live trading environments and refine them based on performance feedback. Regular activities also include monitoring new data sources, adjusting to changes in the market, and documenting your methodologies for regulatory or team review. This multidisciplinary work environment offers the opportunity to continuously learn and directly impact trading outcomes.

What are the most commonly searched types of Machine Learning Quant jobs in Massachusetts? The most popular types of Machine Learning Quant jobs in Massachusetts are:
What are popular job titles related to Machine Learning Quant jobs in Massachusetts? For Machine Learning Quant jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quant jobs in Massachusetts look for? The top searched job categories for Machine Learning Quant jobs in Massachusetts are:
Machine Learning Quant jobs near you
Infographic showing various Machine Learning Quant job openings in Massachusetts as of June 2026, with employment types broken down into 41% Full Time, 33% Part Time, 7% Temporary, and 19% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $130,143 per year, or $62.6 per hour.

Senior Research Scientist, Machine Learning

Analogdevices

Wilmington, MA

$138K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

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).

Employer: Analog Devices, Inc.

Job Title: Senior Research Scientist, Machine Learning

Job Requisition: 1010.408.5 / R262487

Job Location: Wilmington, Massachusetts

Job Type: Full Time

Rate of Pay:$138,732 - $205,200 per year

Duties: Create novel algorithms specialized for applications, such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms. Help with prototype systems, algorithms, and methods to prove their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.

Position is a telecommuting role and can be performed from anywhere in the U.S. Position reports to the headquarters.

Requirements: Must have a Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning research and engineering in Energy, Security, Communication, or Healthcare.

Must also possess the following (quantitative experience requirements not applicable to this section):

  • Demonstrated Expertise ("DE") in algorithm development using linear algebra, graph theory, probability, optimization, and statistics.
  • DE signal processing, deep learning and neural networks, and algorithms for inference and learning.
  • DE with architectures for implementation of algorithms on software or on edge platforms such as Micro-Controller Units.
  • DE in privacy preserving machine learning including adversarial robustness, and differential privacy.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R262487.

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: NoShift Type: 1st Shift/Days

  • 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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