Research Scientist/ Research Engineer

Collinear AI; Mountain View (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Collinear AI seeks a Research Scientist/ML Engineer to shape AI safety by developing novel benchmarks and techniques. You will work closely with technical teams to enhance state-of-the-art models and contribute to a platform that aligns AI applications with business objectives. Join us in pushing AI innovation!

Qualifications

• PhD or Masters with an emphasis on Machine Learning.
• 3-4 years of experience in industry research or equivalent academic experience.
• Strong background in machine learning systems.

Responsibilities

• Conduct cutting-edge research in AI safety and reliability.
• Develop evaluation benchmarks and alignment techniques for AI models.
• Translate research into the product pipeline.

Skills

Machine Learning Systems

Data Curation

Empirical Research

Communication

Education

PhD or Masters in Computer Science

Related Technical Field

Job description

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This range is provided by Collinear AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

Shape the future of AI safety by developing novel evaluation benchmarks and alignment techniques for enterprise-grade language models.

Responsibilities

As a Research Scientist/ ML Engineer, you will play a crucial role in conducting and enabling cutting-edge research and translating it into our core product pipeline. You will work closely with other members of the technical staff to develop and improve state-of-the-art judges for safety, reliability, and data curation. Your technical skills will accelerate our research and ensure that our product remains at the forefront of innovation.

Qualifications

• PhD or Masters in Computer Science with an emphasis on Machine Learning, or a related technical field
• 3-4 years of experience in an industry research lab or equivalent academic experience
• Strong background in machine learning systems, such as distributed training of large models and/or ML performance optimization
• Knowledge of ML/AI applications and models, especially foundation models, how they are constructed, and how they are used
• Experience contributing to research communities, including open-source research projects or publishing at conferences (e.g., CVPR, NeurIPS, ICCV/ECCV, BMVC)
• Strong foundations in software engineering and empirical research
• Ability to work separately and as part of a team. Excellent communication and presentation skills

About the Company

Born from the understanding that AI deployment shouldn't require months of preparation or compromise on quality, we've built a comprehensive platform that turns yourbrand values into production-ready AI applications in days, not months.

Our product isAI Judgesthat are trained with proprietary auto-align technology and powered by state-of-the-art research on Alignment and RL. We help companies build AI systems that aren't just safe and reliable, but truly aligned with their brand values and business objectives.

Backed by top-tier Silicon Valley venture capital firms, we're on a mission to make safe, reliable, and highly-performant frontier AI for enterprise use-cases a reality.

Join us in pushing the boundaries of what's possible in AI! Learn more about the companyhere.

Notes

We are working leading global enterprises to deliver cutting-edge AI safety and reliability tools. And we are looking for brilliant, high-agency, low-egorockstarsto join us on this crusade. We want the best of the best and firmly believe greatness begets greatness.

Come here to push yourselfhard, learn thingsfast, experience unmatchedexcellence, anddo your life's work.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

• Industries

  Software Development

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