Machine Learning Research Scientist Engineer Reasoning
Machine Learning Research Scientist Engineer Reasoning
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$ 176000 - 300000
1 Vacancy
Job Description
About Scale
At Scale AI our mission is to accelerate the development of AI applications. For 8 years Scale has been the leading AI data foundry fueling the most exciting advancements in AI including generative AI defense applications and autonomous vehicles. With our recent Series F round were amplifying access to highquality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and realworld implementation with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLMbased agents including browser and software engineering (SWE) agents. You will play a key role in shaping Scales data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs planning algorithms and novel approaches to agentic reasoning as well as creativity in tackling challenges related to data generation model interaction and evaluation. You will contribute to impactful research on language model reasoning collaborate with external researchers and work closely with engineering teams to bring stateoftheart advancements into scalable realworld solutions.
Ideally youd have:
Practical experience working with LLMs with proficiency in frameworks like PyTorch JAX or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
A track record of published research in top ML and NLP venues (e.g. ACL EMNLP NAACL NeurIPS ICML ICLR CoLLM etc..
At least three years of experience solving complex ML challenges either in a research setting or product development particularly in areas related to LLM capabilities and reasoning.
Strong written and verbal communication skills along with the ability to work effectively across teams.
Nice to have:
Handson experience finetuning opensource LLMs or leading bespoke LLM finetuning projects using PyTorch/JAX.
Research and practical experience in building applications and evaluations related to LLMbased agents including tooluse texttoSQL browser agents coding agents and GUI agents.
Experience with agent frameworks such as OpenHands Swarm LangGraph or similar.
Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
Proficiency in cloudbased ML development with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates ability to prototype and debug ML models their depth of understanding in research concepts and their alignment with our organizational culture. We do not conduct LeetCodestyle problemsolving assessments.
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 jobrelated 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. Youll 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 postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this fulltime position in the locations of San Francisco New York Seattle is:
$176000 $300000 USD
PLEASE NOTE:Our policy requires a 90day 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 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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors Pay Transparency provision.
PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.
Employment Type
Full Time
