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Internship Machine Learning Quant Jobs in Waltham, MA

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Senior Machine Learning Engineer

Andover, MA · On-site

$105K - $145K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong ... strong quantitative and software background. * Proven track record in building, monitoring, and ...

Showing results 21-40

Internship Machine Learning Quant information

See Waltham, MA salary details

$27.5K

$45.9K

$94.9K

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

As of Aug 10, 2026, the average yearly pay for internship machine learning quant in Waltham, MA is $45,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,600.00 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 job categories do people searching Internship Machine Learning Quant jobs in Waltham, MA look for? The top searched job categories for Internship Machine Learning Quant jobs in Waltham, MA are:
What cities near Waltham, MA are hiring for Internship Machine Learning Quant jobs? Cities near Waltham, MA with the most Internship Machine Learning Quant job openings:
Infographic showing various Internship Machine Learning Quant job openings in Waltham, MA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $45,941 per year, or $22.1 per hour.

Principal Quant Engineer - Acadian Asset Management

Acadian Asset Management

Boston, MA • On-site

$185K - $225K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago


Job description

Position Overview:

We are seeking a Principal Quant Engineer to work in close collaboration with Research, Portfolio Management, and Data teams to design and implement scalable, production-grade platforms that support Acadian’s quantitative research and investment processes.

This role focuses on building quant tooling that enables researchers to efficiently develop, evaluate, and deploy quantitative models across investment processes including alpha, risk, transaction cost analysis, attribution, etc. The emphasis is on creating infrastructure that makes quantitative research repeatable, observable, and production-ready at scale.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

  1. Design and implement quant tooling that supports signal construction and evaluation workflows, powering production portfolios across global asset universes.
  2. Work closely with quantitative researchers to ensure research infrastructure continues to evolve in step with their needs, enabling efficient experimentation and reliable alpha generation.
  3. Lead the AI centric development and evolution of core platform capabilities that support signal computation, data access, workflow orchestration, and distributed execution for both quantitative signals and machine learning-based techniques, including deep learning workflows built with PyTorch.
  4. Ensure platform flexibility while maintaining integration with downstream processes for portfolio construction, portfolio management, marketing, client reporting, etc
  5. Incorporate machine learning and AI techniques into signal construction, parameter estimation, and efficacy evaluation workflows where they improve forecast quality and research productivity, including hyper‑parameter optimization using frameworks such as Optuna or similar.
  6. Provide architectural leadership to improve robustness, transparency, scalability, and performance of data- and compute-intensive research and production workflows.
  7. Collaborate with data and platform teams to streamline access to market data, alternative datasets, and compute resources, reducing friction in the research “inner loop” of signal development, backtesting, and validation.
  8. Contribute to the end‑to‑end machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment, drawing on tools and concepts such as MLflow.

We’re Looking for Teammates With:

  1. Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
  2. 7+ years of experience in software engineering, with significant hands-on work supporting quantitative research, signal development, or systematic investing in production environments.
  3. Demonstrated experience building and operating quantitative platforms that support signal modeling, evaluation, and deployment at scale.
  4. Strong proficiency in Python and modern data processing and numerical computing tools (e.g., Polars).
  5. Familiarity with machine learning and AI-assisted development techniques, including the use of AI or agentic coding tools (e.g. Claude Code) to improve research and engineering productivity.
  6. Solid understanding of system design concepts.
  7. Demonstrated ability to deliver robust, transparent, and performant systems.
  8. Strong attention to detail and a commitment to producing accurate, reliable, and well-engineered solutions.
  9. Creativity and enthusiasm for solving complex problems.
  10. Strong work ethic and a roll-up-your-sleeves mindset, with the ability to operate effectively in a hands-on, collaborative environment.

The base salary range for this role is $185,000 – $225,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

To apply for this position or view Acadian’s open roles, please visit the Careers section of our website at:

http://www.acadian-asset.com/careers/Job-opportunities

. We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com.

Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.