MACHINE LEARNING RESEARCH SCIENTIST / ENGINEER, AGENTS

Tbwa Chiat / Day Inc; San Francisco (CA); On-site; USD 200,000 - 251,000; Full time

Job summary

Join a forward-thinking company at the forefront of AI development, where your expertise in machine learning and large language models will drive innovation. As a Machine Learning Engineer, you will work on cutting-edge projects that impact industries worldwide. Collaborate with top researchers and engineers to create transformative AI applications, pushing the boundaries of what's possible. Enjoy a competitive salary, comprehensive benefits, and a culture that values diversity and inclusion. This is your chance to make a significant impact in the rapidly evolving AI landscape.

Benefits

Comprehensive health coverage

Dental and vision insurance

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Qualifications

• 3+ years of experience in ML problem-solving.
• Published research in top ML venues like NeurIPS or ICML.

Responsibilities

• Develop prototypes for AI applications using LLMs.
• Collaborate cross-functionally to align ML solutions with business needs.

Skills

Practical experience with LLMs

Proficiency in Pytorch

Proficiency in Jax

Proficiency in Tensorflow

Strong written and verbal communication

Education

PhD in Machine Learning or related field

Master's in Computer Science

Tools

AWS

GCP

OpenHands

Swarm

LangGraph

Job description

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including : generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About This Role

Ideally you’d have :

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally.

Nice to have :

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch / Jax.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH.
• Experience working with cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

Compensation : 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, determined by work location and additional factors, including job-related 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.

Location : Please reference the job postings 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 : $200,800 - $251,000 USD.

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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the worlds most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, 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 [emailprotected] .

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Machine Learning Engineer • San Francisco, CA, United States