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Manager Research Scientist Mechanical Engineering Jobs

Manager, Research Scientist

Manhattan, NY · On-site

$290.40 - $363/hr

Lead, mentor and grow a team of research scientists and engineers working on GenAI research ... Experience leading or managing research teams. You're excited to mentor, coach and develop talent.

New

Research Scientist

Huntsville, AL · On-site

$56K - $108K/yr

We are pleased to announce the opening for a Research Scientist who will join our Biotechnology ... Mechanical engineering * Materials Science * Technical competence and ingenuity in one of the five ...

... Engineering is searching for a Research Scientist in the Research Group of Prof. Sibani Biswal. The research scientist will conduct independent experimental studies and manage research projects and ...

Research Scientist III

Ames, IA · On-site

$70 - $90/hr

S. degree (or higher) in mechanical engineering, aerospace engineering, electrical engineering ... For more information, please speak with the Hiring Manager.If you have questions regarding this ...

Join Teledyne Scientific & Imaging as a Research Scientist ! Are you ready to launch your career to ... mechanical engineering. What You'll Do: * Define, develop, and deliver innovative solutions for ...

Join Teledyne Scientific & Imaging as a Research Scientist ! Are you ready to launch your career to ... mechanical engineering. What You'll Do: * Define, develop, and deliver innovative solutions for ...

Greenville, TX (On-Site) Job Schedule: 1st Shift 9/80 The Mechanical Engineering Scientist will be ... Capable of managing and working in an environment that is fast paced, demanding, with a focus on ...

S. degree (or higher) in mechanical engineering, aerospace engineering, electrical engineering ... For more information, please speak with the Hiring Manager. If you have questions regarding this ...

S. degree (or higher) in mechanical engineering, aerospace engineering, electrical engineering ... For more information, please speak with the Hiring Manager. If you have questions regarding this ...

Designs, implements, and manages research projects focused on regional and urban-scale air quality ... engineering, or AI applications; * Presents research findings at national and international ...

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Manager Research Scientist Mechanical Engineering information

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How much do manager research scientist mechanical engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager research scientist mechanical engineering in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Manager Research Scientist Mechanical Engineering job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Manager, Research Scientist

Segment (Twilio)

San Francisco, CA • On-site

$290.40 - $363/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications.

As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.

As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

You will:
  • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
  • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
  • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
  • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
  • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
  • Stay deeply connected to the research community, understanding major trends, and helping set them.
  • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
  • 5+ years of hands‑on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
  • A strong track record of research excellence, including publications in top‑tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
  • Experience and track of recording in landing major research impacts in a fast‑paced environment
  • Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
  • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non‑technical stakeholders.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is:

$290,400 - $363,000 USD

PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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