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Machine Learning Finance Jobs in Massachusetts (NOW HIRING)

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

S&P Global

Machine Learning Engineer II

Cambridge, MA

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Kensho's solutions and research focus on business and financial generative AI applications, agents ...

S&P Global

Machine Learning Engineer II

Cambridge, MA

$106K - $145K/yr

Kensho's solutions and research focus on business and financial generative AI applications, agents ... The Machine Learning (ML) Team at Kensho is redefining how powerful financial data fuels the next ...

Capital One

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 ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

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All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Massachusetts

Machine Learning Finance information

See Massachusetts salary details

$27.3K

$101.2K

$148K

How much do machine learning finance jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning finance in Massachusetts is $101,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are the most commonly searched types of Machine Learning Finance jobs in Massachusetts?

The most popular types of Machine Learning Finance jobs in Massachusetts are:

What are popular job titles related to Machine Learning Finance jobs in Massachusetts?

For Machine Learning Finance jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Machine Learning Finance jobs in Massachusetts look for?

The top searched job categories for Machine Learning Finance jobs in Massachusetts are:

What cities in Massachusetts are hiring for Machine Learning Finance jobs?

Cities in Massachusetts with the most Machine Learning Finance job openings:

Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Massachusetts as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,165 per year, or $48.6 per hour.

Machine Learning Scientist (Financial Scoring)

Boston, MA • On-site

Lendbuzz
Finance and Insurance • 51 - 200 employees
Learn more about Lendbuzzexternal

$170K - $200K/yr

Full-time

Re-posted 18 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.