Top 36 Quantitative researcher machine learning Jobs in New York, Ny

Machine Learning Researcher
D. E. Shaw & Co., L.P. —New York, NY
- $275,000 - $350,000 a year
- Bachelor's degree
- Senior level
- Health insurance
- 401(k) matching
Quantitative Researcher – Machine Learning
Point72 —New York, NY
- $150,000 - $250,000 a year
- Computer Science
- Office
- Master's degree
Academic Researcher - AI Trainer
DataAnnotation —Mount Vernon, NY
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Data Scientist, Proprietary Research
Point72 —New York, NY
- $125,000 - $150,000 a year
- Mid-level
- Master's degree
- SQL
- Health insurance
- Tuition reimbursement
13d
Data Analyst
NYU Langone Health —New York, NY
- $66,300 - $85,000 a year
- Surgery
- Mid-level
- Master's degree
- Wellness program
Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery
Genentech —New York, NY
- $141,100 - $274,000 a year
- Online Application
- Computer Science
- Bachelor of Science
- Maintenance
AI Quantitative Researcher
Goliath Partners —New York, NY
- $350,000 a year
- Office
- C++
- Doctor of Philosophy
12d
Data Science Analyst/Engineer
NYU Langone Health —New York, NY
- $84,577.93 - $126,991.52 a year
- Online Application
- Computer Science
- Mid-level
- Master's degree
- Wellness program
11d
Senior Metadata and Standards Specialist
NYU Langone Health —New York, NY
- $121,792.22 - $162,052.80 a year
- Online Application
- Computer Science
- 5 years
- Master's degree
- Wellness program
Researcher (Postdoctoral Research Associate, AI)
New York University —New York, NY
- $80,000 - $85,000 a year
- Computer Science
- Analysis skills
- University
Senior UX Researcher, Applied AI Solution
Amazon Development Center U.S., Inc. —New York, NY
- $167,400 - $226,500 a year
- Full-time
- 5 years
- Master's degree
- Analysis skills
- AD&D insurance
- Health insurance
3d
Senior Machine Learning Engineer
The Voleon Group —New York, NY
- $290,000 - $395,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- System design
- Referral program
AI Developer (Gen AI)
Elliot Partnership —New York, NY
- $400,000 - $700,000 a year
- Full-time
- Azure
- Computer Science
- System design
Quick Apply
Data Harmonization Analyst
NYU Langone Health —New York, NY
- $84,577.93 - $126,991.52 a year
- Online Application
- Computer Science
- Mid-level
- 3 years
- Wellness program
Risk, AI Model Validation, Vice President, New York
Goldman Sachs —New York, NY
- $130,000 - $250,000 a year
- Computer Science
- 5 years
- Research
- Disability insurance
- Health insurance
Data Scientist, Sales AI
Amazon.com Services LLC —New York, NY
- $153,400 - $207,500 a year
- Full-time
- Math
- Doctor of Philosophy
- Mentoring
- AD&D insurance
- Health insurance
Principal Data Scientist
AbbVie —Florham Park, NJ
- $124,500 - $236,500 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- SQL
- Paid holidays
- Health insurance
9d
Head of Data Science - Fraud Insights
Socure —New York, NY
- $250,000 - $300,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- SQL
AI Engineer
Optiver —New York, NY
- $200,000 a year
- 6 years
- Computer Science
- Research
- Paid holidays
- Disability insurance
Data Analyst, Center of Surgical and Transplant Applied Research (CSTAR)
NYU Langone Health —New York, NY
- $64,350 - $85,000 a year
- Online Application
- Computer science
- Surgery
- Computer Science
- Wellness program

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Machine Learning Researcher

D. E. Shaw & Co., L.P. -
New York, NY

Apply Now

Job Details

$275,000 - $350,000 a year

Benefits

Health insurance
401(k) matching
Prescription drug insurance

Qualifications

AI models
System performance optimization
AI platforms (beyond public GPTs)
Computational framework
Machine learning libraries
Machine learning frameworks

Full Job Description

Quantitative Strategies
New York

The D. E. Shaw group seeks a machine learning researcher to creatively apply their knowledge of ML and software engineering to design and build computational architectures for high-performance, large-scale knowledge discovery in financial data. In this dynamic role, the engineer will leverage cutting-edge ML research to turn new ideas into proof-of-concept implementations, solve tough low-level engineering problems, and set up infrastructure for broader, longer-term impact. This position will play a key role in improving the efficiency, scalability, and reliability of the firm’s ML efforts, and will directly impact the firm’s systematic research through ML engineering contributions, all within a collaborative and engaging environment.

What you’ll do day-to-day

Rapidly prototype, implement, and evaluate state-of-the-art machine learning techniques.
Drive the computational agenda for ongoing and future ML projects.
Tackle complex engineering problems across software and hardware layers, setting technical direction and anticipating architectural needs.
Deploy ML models into real-world systems where they have direct, measurable impact on decision-making and trading.
Create compelling proof-of-concept systems, demonstrate them internally, and collaborate with others for development.
Partner with researchers to design and implement efficient training workflows, enabling rapid experimentation with deep learning models.

What we’re looking for

Bachelor’s degree or higher is required.
Proven track record of collaborating with researchers to translate ML ideas into high-performance solutions.
Experience driving computational and architectural innovation by rapidly prototyping and demonstrating novel ML ideas within a high-performance environment.
Interest in staying current with ML research and swift application of new techniques.
Expertise in performance optimization, low-level engineering, GPU programming and libraries (e.g., Pytorch, JAX, CUDA, XLA, Triton, or PTX).
Demonstrated ability to quickly solve complex computational problems, create inspiring technical demos, and transition work to broader teams.
Proactive approach in driving agendas and anticipating engineering bottlenecks in large systems.
Proficiency in modern ML frameworks, facility with deep learning tooling, and a solid understanding of hardware and architectural challenges.
The expected annual base salary for this position is $275,000 to $350,000. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, a sign-on bonus, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

The D. E. Shaw group is an equal opportunity employer.

The applicable annual base salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience and educational background.

European Union (EU), United Kingdom (UK), California, Hong Kong, Singapore, or Shanghai candidates should refer to the corresponding linked privacy notice.

The D. E. Shaw group may collect, use, hold, transfer, and process candidates’ resumes and associated information (including personal information contained therein) for purposes reasonably related to their application, including without limitation: review and management of employment applications and supporting materials; administration and management of offers to and communication with candidates; and administration, management, and improvement of the recruiting operations of the D. E. Shaw group; and/or where reasonably required in connection with a proposed sale, spin-out, reorganization, or outsourcing of all or some of the business of the D. E. Shaw group. The D. E. Shaw group will not use such information for purposes unrelated to the foregoing, such as direct marketing of third-party products to candidates, without candidate consent. As used herein, the term “personal information” is meant to broadly describe information identifying or relating to a specific individual; it is intended to encompass “personal data,” “sensitive personal data,” and “personally identifiable information” and similar terms, as those terms are defined by law in the jurisdictions in which the D. E. Shaw group operates.

The D. E. Shaw group may transfer such personal information within and outside the country and jurisdiction of the locations where the D. E. Shaw group maintains offices, to other D. E. Shaw group affiliates, to government and regulatory authorities, and to third parties which provide or may provide support and/or services to the D. E. Shaw group and for the purposes set forth above. The persons who may have access to this personal information are other employees of the D. E. Shaw group, in connection with the performance of their duties of employment, and the other parties listed above, in connection with the business of the D. E. Shaw group. (Of course, candidates will be considered for employment opportunities only in those countries in which they express interest.)

The D. E. Shaw group will use reasonable care to maintain the confidentiality of personal information (including appropriate technical measures against unauthorized or unlawful processing and against accidental loss or destruction of, or damage to, such information) and will retain such data as required by applicable law or regulation. Candidates have the right to request access to, and correction of, their personal information in accordance with applicable law; any such request should be submitted to [email protected]. Candidates who have submitted a resume to the D. E. Shaw group and do not wish to proceed with their applications should email [email protected]. Personal information of candidates who have been the subject of background checks may have been transferred in accordance with applicable regulations, and any concerns with such transfers should be submitted to [email protected].

The D. E. Shaw group may retain candidates’ information for prospective recruiting activities, including sourcing candidates for employment opportunities and for organizing events with prospective candidates, in accordance with our internal data retention procedures. Candidates who do not agree to such future use should email [email protected].

Apply Now

Refine Your Search

quantitative researcher machine learning jobs in new york, ny

Machine Learning Researcher

Quantitative Researcher – Machine Learning

Academic Researcher - AI Trainer

Data Scientist, Proprietary Research

Data Analyst

Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

AI Quantitative Researcher

Data Science Analyst/Engineer

Senior Metadata and Standards Specialist

Researcher (Postdoctoral Research Associate, AI)

Senior UX Researcher, Applied AI Solution

Senior Machine Learning Engineer

AI Developer (Gen AI)

Data Harmonization Analyst

Risk, AI Model Validation, Vice President, New York

Data Scientist, Sales AI

Principal Data Scientist

Head of Data Science - Fraud Insights

AI Engineer

Data Analyst, Center of Surgical and Transplant Applied Research (CSTAR)

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