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Senior Ai Researcher Jobs (NOW HIRING)

NextDeavor Inc.

Senior AI Researcher

New York, NY · On-site +1

$150K - $220K/yr

Senior AI Researcher Full-time New York, NY, US Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Senior AI Researcher You will lead original ...

Scout AI

Senior AI Researcher

Sunnyvale, CA · On-site +1

$200K - $400K/yr

The Role We're hiring a Staff or Senior AI Researcher on the Fury Team to help push the frontiers of embodied intelligence for autonomous defense systems. You will lead research in core areas ...

Cisco

Senior AI Researcher

San Francisco, CA · On-site

Your Impact As a Senior AI Researcher you will operate as a visionary technical leader, architecting and executing frontier AI research that dictates Foundation AI's long-term technical trajectory.

Cisco

Senior AI Researcher

San Francisco, CA

Your Impact As a Senior AI Researcher you will operate as a visionary technical leader, architecting and executing frontier AI research that dictates Foundation AI's long-term technical trajectory.

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

We are seeking a Senior AI Researcher to join our Foundation AI team to drive the research, development, and deployment of large-scale multimodal models that integrate various data types to enhance ...

Dolby

Sr. Foundational Audio AI Researcher

Atlanta, GA · On-site

Dolby is looking for a talented Senior AI Researcher to join Dolby's research efforts to develop the next generation of AI based audio and video technologies. You will work with Dolby's world-class ...

Neon Mobile, Inc

Senior Speech AI Researcher

New York, NY · On-site +1

$180K - $300K/yr

As a Senior Speech AI Researcher, you will bridge the gap between our 500,000+ mobile users and the world's leading AI labs, by directly interfacing and collaborating with your peers in these labs.

Nvidia

Senior AI Security Researcher

Durham, NC

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems, agentic applications, and AI-enabled security automation are tested, attacked, defended, and safely ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...

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Senior Ai Researcher information

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How much do senior ai researcher jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior ai researcher in the United States is $76,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $98,500.00 per year, depending on experience, location, and employer.
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Senior Ai Researcher jobs near you
Infographic showing various Senior Ai Researcher job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $76,607 per year, or $36.8 per hour.

Senior AI Researcher

NextDeavor Inc.

New York, NY • On-site, Remote

$150K - $220K/yr

Contractor

Posted 6 days ago

Job description

Senior AI Researcher
Full-time
New York, NY, US
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Senior AI Researcher

You will lead original research advancing core models that enable offensive-security capabilities, shaping experiments end-to-end and shipping results into production. You will collaborate closely with the VP of AI Engineering, the CEO, and a small AI engineering team to turn research outcomes into deployable capabilities. Work model: New York preference but open to remote; you must work EST hours.

Here's How You'll Make an Impact on the Team
  • Drive original research on offensive-security agents: reasoning, planning, tool use, and long-horizon autonomous operation
  • Advance the post-training pipeline, including supervised fine-tuning, RL from verifier signals, LoRA adaptation, and adversarial evaluation
  • Extend co-evolutionary self-training architecture with curriculum design, self-play dynamics, and reward modeling for security outcomes
  • Design and execute experiments end-to-end, from hypothesis through writeup
  • Build internal evaluation harnesses where no public benchmark exists and measure capability rigorously
  • Translate research into production handoffs: model cards, deployment notes, and documented failure modes
  • Contribute to external research outputs: papers, talks, responsible disclosures, and technical writing
  • Collaborate with engineering teammates on research methodology and experimental design
Here's What You'll Need to Be Successful in This Role
  • Demonstrated original ML research output (published papers, widely cited preprints, significant OSS releases, or shipped research that materially advanced a production system)
  • Hands-on post-training experience with large language models (7B+ parameters) and end-to-end ownership of data, training, and evaluation pipelines
  • Direct experience with at least one of: RL from verifier/reward signals, preference optimization (DPO/IPO/KTO), or supervised fine-tuning with synthetic data pipelines
  • Experience with agentic LLM systems: tool use, multi-step reasoning, planning, or long-horizon execution
  • Ability to design evaluations that measure real capability and avoid contamination or specification gaming
  • Strong Python and PyTorch skills, with experience in distributed multi-GPU training
  • Clear technical writing demonstrated by research memos, experiment writeups, or papers
Here's What Else Might Help You Out
  • Working knowledge of offensive security fundamentals (trainable on the job)
  • Prior work on code-generating or code-reasoning models
  • Experience with sparse, delayed, or expensive reward signals in RL
  • Research in robustness, adversarial ML, or red-teaming of language models
  • Familiarity with long-horizon agent benchmarks (e.g., SWE-bench, Cybench, WebArena)
Pay Range

$150-$220K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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