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Internship Machine Learning Quant Jobs in Boston, MA

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

... machine learning techniques -- multivariate regression, clustering analysis (Connectivity based ... DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA

$135K - $175K/yr

... machine learning techniques -- multivariate regression, clustering analysis (Connectivity based ... DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB ...

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All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Boston, MA

Internship Machine Learning Quant information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do internship machine learning quant jobs pay per year?

As of Aug 15, 2026, the average yearly pay for internship machine learning quant in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Boston, MA?

The most popular types of Machine Learning Quant jobs in Boston, MA are:

What are popular job titles related to Internship Machine Learning Quant jobs in Boston, MA?

For Internship Machine Learning Quant jobs in Boston, MA, the most frequently searched job titles are:

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Cities near Boston, MA with the most Internship Machine Learning Quant job openings:

Internship Machine Learning Quant jobs near you

Senior Research Scientist, Machine Learning

Analogdevices

Wilmington, MA

$138K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days 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).

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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