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Remote Machine Learning Finance Jobs in Massachusetts

$152K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across both regions. We're looking for the person who brings an AI and Machine Learning curriculum to life ...

Senior Algorithm Engineer

Boston, MA · Remote

$170K - $190K/yr

  • PTO

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Senior Algorithm Engineer

Boston, MA · Remote

$170K - $190K/yr

  • PTO

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role. What success looks like * Participate in and lead the entire biosignal ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

  • PTO

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

  • PTO

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

  • PTO

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Data Engineer

Boston, MA · Remote

$137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists to build pipelines for training and deploying machine learning ... This position is eligible for fully remote work from any location in the United States. Minimum ...

New

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

  • PTO

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Showing results 21-40

Remote Machine Learning Finance information

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

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

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

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

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

Infographic showing various Remote Machine Learning Finance job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Director, Software Engineer Finance Tech - (Remote Eligible)

Capital One

Cambridge, MA • On-site, Remote

$276K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Director, Software Engineer Finance Tech - (Remote Eligible)

As a Capital One Director of Software Engineering, you'll work on everything from forward-looking forecasting frameworks and strategic planning tools to high-throughput data engineering pipelines, back-end systems, and machine learning models using the latest techniques in Big Data. You will sit at the intersection of core business strategy and advanced technology, leading teams to build next-generation data infrastructure side-by-side with quantitative data scientists and business leaders. You'll bring solid experience in emerging and traditional data technologies, cloud platforms, and analytical disciplines such as: Python, SQL, Spark, Scala, Snowflake, Databricks, AWS/Cloud Infrastructure, Apache Airflow, MLOps,, machine learning frameworks, and large-scale enterprise data systems, to name a few.

You will:

  • Lead, manage, and grow multiple forward-thinking teams of software, data, and platform engineers.

  • Mentor and guide the professional and technical development of engineers, fostering a culture of innovation.

  • Partner with product managers, data scientists, and system architects to translate complex business strategies into executable technical intent.

  • Continuously elevate engineering practices, pioneering spec-driven and intent-driven architectures to minimize friction and maximize build quality.

  • Design, implement, and support scalable backend solutions, effectively integrating custom data pipelines with COTS platforms and custom software capabilities, using advanced CI/CD frameworks.

  • Lead the craftsmanship, availability, resilience, and scalability of analytics engines and data infrastructure.

  • Bring a passion for staying on top of tech trends, experimenting with emerging agentic frameworks, participating in technology communities, and mentoring members of the broader engineering ecosystem.

  • Encourage innovation, the implementation of cutting-edge technologies, inclusion, outside-the-box thinking, and highly autonomous, distributed teamwork.

  • Collaborate across engineering organizations to optimize system throughput, streamline complex dependencies, and accelerate the delivery of intelligent capabilities.

  • Lead efforts to design and deploy highly available, cloud-native solutions, data systems, and automated frameworks into AWS environments.

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in software engineering

  • At least 5 years of experience in people management

Preferred Qualifications:

  • Master's Degree in Computer Science or Master's Degree in Software Engineering

  • 10+ years of experience in software engineering

  • 5+ years of experience in Agile practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Director, Software Engineering


Cambridge, MA: $269,100 - $307,200 for Director, Software Engineering


McLean, VA: $269,100 - $307,200 for Director, Software Engineering


Richmond, VA: $244,700 - $279,200 for Director, Software Engineering








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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