Machine Learning Research Scientist / Research Engineer, Post-Training

Scale works with the industry’s leading AI labs to provide high quality data and accelerate reputed company in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.

In this role, you will reputed company novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the reputed company of generative AI models.

You will

• Research and reputed company novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.

Ideally you’d have

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a reputed company field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills

• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

Compensation packages at Scale for eligible roles include reputed company salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum reputed company for new hire salaries for the position, determined by work location and additional factors, including job-reputed company skills, experience, 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 reputed company salary range for this full-time position in the locations of San Francisco, reputed company, Seattle is:

$220,000 - $325,000 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 reputed company applicants.

About Us

At Scale, we reputed company that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to reputed company that happen faster across every industry, and reputed company is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as reputed company, reputed company, and reputed company, government agencies like the U.S. Army and U.S. reputed company Force, and enterprises including reputed company and reputed company. We are expanding reputed company to accelerate the development of AI applications.

We reputed company that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, reputed company, religion, sex, national reputed company, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States reputed company's Know Your Rights poster for additional information.

We reputed company with the United States reputed company's Pay Transparency provision. 

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