Job Description:

Job Description

The Asset Management Technology, Graph Technology Team is seeking a highly motivated Full Stack/Machine Learning Engineer. You are passionate about building and deploying production-grade AI applications in the finance domain. In this role, you will be a key technical contributor, owning the entire lifecycle of ML-powered applications. You will collaborate closely with investment professionals (such as quants and portfolio managers) to design, build, deploy, and maintain end-to-end solutions that drive investment decisions.

THE EXPERTISE AND SKILLS YOU BRING

• An advanced degree or equivalent experience in Software Engineering, Computer Science, or a related technical field.

• 4+ years of experience in a full-stack software or machine learning engineering role, with a proven track record of shipping end-to-end ML products.

• Strong proficiency in building scalable backend services and APIs (e.g., using FastAPI, Flask, or gRPC) to serve machine learning models.

• Hands-on experience building and deploying applications using modern AI technologies such as Generative AI, Large Language Models (LLMs), Vector Databases, Graph Databases (e.g., Neo4j), and Information Retrieval systems.

• Deep understanding of the full MLOps lifecycle, including model evaluation, performance tuning, CI/CD for ML using tools like Jenkins, containerization (Docker, Kubernetes), and monitoring of models in production.

• Experience with modern cloud platforms (e.g., AWS, Azure, GCP) and their associated ML services.

• Experience building and managing data pipelines and job scheduling using tools like Airflow, Autosys, or similar.

• Proficiency in agile coding principles and expertise in writing high-quality, production-ready Python code.

• Proficient programming skills in Python and SQL, with experience working with large-scale databases.

• Ability to translate complex technical concepts and model results to non-technical audiences.

• Passionate about staying ahead of the industry with the latest advancements in AI and software engineering, and eager to drive innovation.

• Nice to have: Familiarity with a front-end framework (e.g., Streamlit, React, Vue) for rapid prototyping and building user interfaces.

THE TEAM

The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.

The base salary range for this position is $107,000-216,000 USD 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.

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.

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