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Manager Rlhf Jobs (NOW HIRING)

Applied AI Engineer

San Francisco, CA · On-site

$175K - $275K/yr

... RLHF, and multi-step agentic reasoning into high-impact product workflows. You'll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real ...

Training techniques (pre-training, fine-tuning, RLHF), and optimization methods. * Understanding of low-level details like GPU memory management, precision types (float16, bfloat16), and ...

We are looking for a Senior Manager of Research to lead a team focused on data-centric research ... Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or ...

... RLHF, and multi-step agentic reasoning into high-impact product workflows. You'll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real ...

You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure ... you manage your health and achieve your goals across many areas of your life. This includes a ...

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As of Jun 11, 2026, the average yearly pay for manager rlhf in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.
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Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning ...

Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning ...

Autodesk

Remote

Full-time

Posted 13 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 188 rated software companies


Job description

Job Summary:
Autodesk is a leader in software for design and engineering, and they are seeking a Research Lead for Post-Training & Alignment in their AI Lab. This role involves owning the research strategy for transforming foundation models into reliable systems and leading a team of AI scientists while contributing to research and development of novel algorithms.
Responsibilities:
• Own post-training strategy for model development — from RLHF and preference optimization to agentic systems and long-horizon reasoning
• Develop novel algorithms that improve model reliability, controllability, and alignment
• Make principled architectural decisions about when to address challenges at the pre-training, post-training, or system level
• Design and run experiments that shape model behavior, robustness, and reasoning quality
• Partner with infrastructure teams to build scalable, reproducible post-training workflows
• Contribute to publications, patents, and Autodesk's external research visibility
• Design evaluation frameworks for long-horizon reasoning, tool use, agentic behavior, safety, and real-world workflow completion
• Lead rigorous model analysis and interpretability efforts
• Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
• Establish model readiness criteria and provide go/no-go recommendations for releases
• Communicate technical risks, limitations, and trade-offs clearly to leadership
• Manage, mentor, and grow a team of AI scientists
• Set technical direction and research priorities across post-training and alignment initiatives
• Foster a research culture grounded in scientific rigor, reproducibility, and fast iteration
• Help recruit world-class talent across ML, RL, alignment, and foundation models
• Partner closely with pre-training teams, infrastructure, product organizations, and other stakeholders
• Translate research trade-offs into clear, decision-ready guidance for leadership
Qualifications:
Required:
• Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches)
• Proven experience leading or mentoring technical research teams — whether in an academic lab, AI research organization, or industry setting
• Strong intuition for model behavior, alignment challenges, and post-training trade-offs
• Experience designing evaluation systems and thinking rigorously about what it means for a model to be ready
• Ability to communicate complex technical trade-offs clearly to both technical and non-technical audiences
• A PhD or equivalent depth of industry research experience in ML, RL, AI, or a related field
Preferred:
• Experience at a frontier model lab or advanced applied AI organization
• A strong publication record at leading ML or AI venues
• Background in alignment research, preference learning, or agentic AI
• Experience deploying or supporting production AI systems
• Familiarity with large-scale training infrastructure and compute trade-offs
Company:
Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries. Founded in 1982, the company is headquartered in San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982