Top 2856 Computer scientist Jobs

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AI Research Scientist - Datadog AI Research (DAIR)
Datadog —New York, NY
- $320,000 - $400,000 a year
- Computer Science
- Doctor of Philosophy
- Senior level
- Employee stock purchase plan
Quick Apply
Scientist (Algorithm Developer)
Arete —Tucson, AZ
- $85,000 - $145,000 a year
- Full-time
- Bachelor of Science
- Pass drug screening
- Mid-level
- Paid parental leave
- Disability insurance
9d
Data Scientist / Computer Vision Engineer
Glint Tech Solutions LLC —Sunnyvale, CA
- Azure
- System design
- AWS
Quick Apply
AI/ML Engineer - Computer Vision
Everforth —Cambridge, MA
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Master's degree
Quick Apply
Autonomous Vehicle AI Engineer III - Computer Vision and Path Planning
Blue Origin —Seattle, WA
- $164,652.00 - $230,512.80 a year
- Full-time
- Background check
- Computer Science
- DOT physical examination
- Paid parental leave
- Paid holidays
Computer/Data Scientist(Entry Level) (Job #712)
Defense Acquisition Support Services LLC —Aberdeen Proving Ground, MD
- $80,000 - $155,000 a year
- Analysis skills
- Communication skills
- Entry level
- Health insurance
- Dental insurance
Quick Apply
Research Scientist, Electronic Design Automation - New College Grad 2026
NVIDIA —Santa Clara, CA
- $168,000 - $264,500 a year
- Full-time
- Computer Science
- C++
- Doctor of Philosophy
Senior Scientist, Synthetic Data Generation
NVIDIA —New York, NY
- $168,000 - $304,750 a year
- Full-time
- Computer Science
- 3 years
- Doctor of Philosophy
Research Engineer/Research Scientist, Pre-training
Anthropic —Remote
- $350,000 - $850,000 a year
- Hybrid work
- Computer Science
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Computer Vision Specialist - Freelance AI Trainer Project
Meridial —Austin, TX
- $8 - $65 an hour
- Remote
- Computer Science
- Research
- Analysis skills
- Health insurance
Research Scientist 4 - Machine Learning and Inference Research, LLM Post-Training
Netflix —New York, NY
- $300,000 - $537,000 a year
- Computer Science
- Doctor of Philosophy
- Mentoring
- Paid holidays
- Health insurance
2026 Graduate – Engineer/Physicist/Computer Scientist - Weapon Control
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $165,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Disability insurance
- Health insurance
Software R&D Engineer, Digital Logic Synthesis - New College Grad 2026
NVIDIA —Austin, TX
- $116,000 - $218,500 a year
- Full-time
- Computer science
- Computer Science
- C++
Computer Science AI Trainer
Handshake AI —Remote
- Part-time
- Remote
- Computer Science
- Entry level
Computer Science Expert
Handshake AI —Remote
- Part-time
- Computer science
- Computer Science
- Research
- Flexible schedule
Controls Research Engineer - "CLEARANCE REQUIRED" - GE Vernova Advanced Research
GE Vernova —Niskayuna, NY
- $89,300 - $148,700 a year
- Full-time
- Doctoral degree
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
Principal Research Scientist - Autonomous Systems
Peraton —Basking Ridge, NJ
- $146,000 - $234,000 a year
- Computer science
- 7 years
- Computer Science
- Health savings account
- Paid holidays
Senior Research Scientist - AI Trainer
DataAnnotation —Allen, TX
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
3d
Senior Research Scientist - AI Trainer
DataAnnotation —Aurora, CO
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
3d
Quantum Computing Simulation Postdoctoral Fellow
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $8,570 - $9,935 a month
- Full-time
- Hybrid work
- Background check
- C++
- Doctor of Philosophy
- Health insurance
- 401(k)
11d

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AI Research Scientist - Datadog AI Research (DAIR)

Datadog -
New York, NY

Quick Apply

Job Details

$320,000 - $400,000 a year

Benefits

Employee stock purchase plan
RSU

Qualifications

AI models
Generative models
AI platforms (beyond public GPTs)
Model training
Machine learning libraries
Generative AI

Full Job Description

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

World Models for Observability - Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.

Trained Agents for Observability - Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
Design and build simulated environments and RL training loops for on-policy agent training and evaluation
Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
Stay at the forefront of foundation models, world models, and RL-based agent research
Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Who You Are:

You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
You are familiar with efficient training, post-training, and inference techniques for large foundation models
You can explain complex models and research findings to both technical and non-technical audiences

Bonus Points (any of the following):

Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
Experience writing production data pipelines and applications
Hands-on experience with GPU programming and optimization, including CUDA

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

Competitive global benefits
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
Opportunity to attend and present at conferences and meetups
Intra-departmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice.

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Quick Apply

Refine Your Search

computer scientist jobs

AI Research Scientist - Datadog AI Research (DAIR)

Scientist (Algorithm Developer)

Data Scientist / Computer Vision Engineer

AI/ML Engineer - Computer Vision

Autonomous Vehicle AI Engineer III - Computer Vision and Path Planning

Computer/Data Scientist(Entry Level) (Job #712)

Research Scientist, Electronic Design Automation - New College Grad 2026

Senior Scientist, Synthetic Data Generation

Research Engineer/Research Scientist, Pre-training

Computer Vision Specialist - Freelance AI Trainer Project

Research Scientist 4 - Machine Learning and Inference Research, LLM Post-Training

2026 Graduate – Engineer/Physicist/Computer Scientist - Weapon Control

Software R&D Engineer, Digital Logic Synthesis - New College Grad 2026

Computer Science AI Trainer

Computer Science Expert

Controls Research Engineer - "CLEARANCE REQUIRED" - GE Vernova Advanced Research

Principal Research Scientist - Autonomous Systems

Senior Research Scientist - AI Trainer

Senior Research Scientist - AI Trainer

Quantum Computing Simulation Postdoctoral Fellow

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