Fidelity

Job Description:

The Purpose of This Role

Fidelity Labs is looking for a AI Applied Research practitioner to join a new startup. The startup’s focus is building innovative technology for financial services. This role will be responsible for working closely with Data Scientists and Engineering product managers to bring game-changing ideas to market.

The Value You Deliver

• You work well in a small team and collaborative environment. We make team based decisions.
• You are client focused and passionate about using design thinking
• Your knowledge and skill in the latest Deep Learning can help build robust production grade models.
• You are a good mentor to junior associates

The Skills that are Key to this role

Technical / Behavioral

• Experience delivering product based on Transformer Architecture in any domain like, NLP, Computer Vision, Audio and Multimodal and Multitask setup.
• Knowledge of different Transformer variants; pros and cons
• Experience with Python, PyTorch, TensorFlow (optional) and building models on GPU environment
• Ability to extend the Transformer architecture to build efficient custom models.
• Experience turning projects into academic publications. Accepted papers at conferences a plus.
• Optional experience building NER solutions
• Working experience of training and building models models on AWS services or other cloud.
• Familiarity with AI/ML libraries (including scikit learn, Pandas) and their internals
• Building quick protype using Streamlit or Gradio
• Knowledge of Docker and AWS container orchestration is plus.
• Experience with MLOps tools like WeightsAndBiases or any other
• Direct experience in Agile, SCRUM, git, JIRA etc. and use of the Atlassian tool suite

The Skills that are Good To Have for this role

• Your experience and expertise on full stack software development would be desirable
• You should have an experience in Machine Learning Engineering for deployment of models in production.
• Effective communication, able to work with teams, presentation skills - required for the role.

How Your Work Impacts the Organization

The Team

We are Fidelity Labs, Fidelity Investments’ in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to craft the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve. Fidelity Labs is a dynamic workplace that combines the best parts of startup life—building from scratch, adapting quickly, and moon-shot ambition—with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. Learn more at https://labs.fidelity.com/ .

The Expertise We’re Looking For

• A PhD in a quantitative field with experience working as a key contributor in a data science team
• Experience with NLP and LLMs. Academic publications in these fields.

The base salary range for this position is $103,000-$218,000 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:

Data Analytics and Insights