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Principal Machine Learning Engineer

Job Description:

The Role

This Principal Machine Learning Engineer opportunity would be great for someone looking to utilize their existing skillsets in addition to learning new technologies! We’ll be working together to analyze, develop and deploy new machines learning applications using python, java, NLP, GenAI, LLM, machine learning. This is a great opportunity to develop T-shaped skills!  You are comfortable working with a small team of developers in a fast paced and highly ambiguous environment working with emerging and new technologies, high risks, and uncertainty.

The Expertise and Skills You Bring

  • Master's in AI/ML, Computer Science, Statistics, Physics or Finance (with a background in Machine learning), with 6+ years plus of industrial experience.
  • Outstanding teamwork skills working with product owners, analysts, software architects, software engineers and quality engineers
  • Experience serving as a strong hands-on technical team member producing clean, unit-tested code.
  • Experience applying Software Engineering Architecture and Design Patterns (OO, Functional, REST)
  • Strong knowledge of and demonstrated Hands-On Experience with Python
  • Strong knowledge of and demonstrated Hands-On Experience in integrating Machine Learning Model services with existing runtime conversation handling system
  • Strong knowledge of and demonstrated Hands-On Experience in building and evaluating Natural Language Processing Related Machine Learning Models
  • Strong knowledge of machine learning, GenAI, LLM, prompt engineering, model training and productization.
  • Strong knowledge of MLOps, machine learning development lifecycle and software development and delivery cycle.
  • Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure
  • Experience in building REST APIs with python and/or Java/Spring.
  • Experience in Java/J2EE is nice to have.
  • Passion for continuous integration and continuous delivery
  • Understanding and awareness of solution compliance, governance and quality needs
  • Ability to understand and translate business requirements to appropriate solutions
  • Ability to work independently with moderate to minimal guidance
  • Ability to work collaboratively with business partners and Enterprise peers who may have developed resuable capabilities we can incorporate to the prime products.
  • 6 – 10 Years of software development experience
  • 3 – 5 Years of developing machine learning model or GenAI LLM experience

The Team

The Prime Brokerage Team, within Fidelity Institutional Technology (FIT), is seeking " Principal Machine Learning Engineer " to join the team to help build and maintain high quality product and solutions to enable custody business. We are looking for a person who has hands-on Machine Learning experience building cloud-based systems using modern, scalable, resilient, Cloud native architectures (Containers and Serverless). This role will involve partner & stakeholder engagement, design, release support and production support. In this role, you will be an integral part of the prime brokerage team where you’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment.

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money.

Join Us

At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.

The base salary range for this position is $97,000-$154,000 per year.  

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Certifications:

Category:

Information Technology

Average salary estimate

$125500 / YEARLY (est.)
min
max
$97000K
$154000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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DATE POSTED
August 13, 2025
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