Co-op, Data Science
Company: Fidelity Investments
Location: Boston
Posted on: April 28, 2024
Job Description:
Job Description: Fidelity Investments, Data Science Co-Op
Fidelity Investments - Co-Op - AI - ML - NLP - OR The Artificial
Intelligence Center of Excellence (AI COE) at Fidelity Investments
is looking for Co-Op / Research Interns for to conduct applied
research on areas related but not limited to Artificial
Intelligence, ML, NLP, Computer Vision, Operations Research,
Mathematical Programming, and Integration of Machine Learning and
Discrete Optimization. Fidelity AI COE, located in downtown Boston,
MA, offers an exciting environment for multidisciplinary research
with access to a set of diverse data sources. We seek applicants
from all areas of computer science, machine learning, operations
research and related technical fields with a passion and
demonstrated ability for independent research including a strong
record of research publication. The Value You Deliver As part of a
high caliber team of researchers and practitioners, you will be
working closely with business stakeholders and be part of
cutting-edge research to build solutions that will impact the
organization for years to come. During the Co-Op internship,
students are paired with mentors and expected to collaborate with
other data scientists and researchers, present findings, and
contribute to the research community. Publications are highly
encouraged. The Expertise You Have
- Must be currently enrolled in Msc/PhD program in Computer
Science, Machine Learning, Operations Research, or related
technical fields
- Experience in building unsupervised and supervised machine
learning models
- Experience in working with deep neural networks, Generative AI,
Computer Vision and recent NLP architectures (Transformers,
etc.)
- Experience in solving constraint satisfaction and optimization
problems
- Knowledge in model evaluation, tuning and performance, and
scalability of solutions
- Strong verbal/written communication and presentation skills,
including an ability to effectively communicate with both business
and technical teams
- Proven track record of research publications at relevant venues
The Skills You Bring
- Solid background in algorithm design and data structures
- Programming skills (C++, Java, Python etc.)
- Machine Learning frameworks (scikit-learn, Tensorflow, PyTorch,
Keras, HuggingFaceetc.)
- Skills in building predictive machine learning models and
prescriptive optimization models
- Optimization packages and solvers (IBM Ilog, Cplex, Gurobi,
Google OR-Tools etc.)
- Working knowledge of one or more of the following: NLP, Graph
Neural Networks, Constraint/Mathematical Programming, Company
Overview At Fidelity, we are focused on making our financial
expertise broadly accessible and effective in helping people live
the lives they want. We are a privately held company that places a
high degree of value in creating and nurturing a work environment
that attracts the best talent and reflects our commitment to our
associates. We are proud of our diverse and inclusive workplace
where we respect and value our associates for their unique
perspectives and experiences. For information about working at
Fidelity, visit Fidelitycareers.com Fidelity Investments is an
equal opportunity employer Certifications: 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 working model blends the best of
working offsite with maximizing time together in person to meet
associate and business needs. Currently, most hybrid roles require
associates to work onsite all business days of one assigned week
per four-week period (beginning in September 2024, the requirement
will be two full assigned weeks). 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, or by calling
800-835-5099, prompt 2, option 3.
Keywords: Fidelity Investments, Cambridge , Co-op, Data Science, Other , Boston, Massachusetts
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