Machine Learning Engineer GenAI Quality
Machine Learning Engineer GenAI Quality
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$ 172000 - 300000
1 Vacancy
Job Description
About Scale:
Scales Generative AI ML team develops models and services to power highquality data generation and evaluation for the most advanced large language models on earth. We also conduct applied research on model supervision and algorithmic approaches that support frontier models for Scales appliedML teams and the broader AI community. Scale is uniquely positioned at the center of the AI ecosystem as a leading provider of training and evaluation data endtoend ML lifecycle solutions and frontier evaluations for public and private institutions.
About The Role:
This role focuses on developing ML systems to automate data quality evaluation and generation using large language models. Youll build scalable systems to assess quality across accuracy instruction adherence factuality and reasoning and design robust evaluation frameworks to ensure alignment with human standards. This is one of the highest impact areas in the company and directly accelerates the development of aligned performant foundation models.
Youll be deeply involved in the full lifecycle: from model design and finetuning to prototyping deployment and monitoring. Youll partner closely with engineering research and product teams to deliver cuttingedge solutions for both customers and internal GenAI data engines Scales fastestgrowing business.
If youre excited about combining humanmachine evaluation scaling highquality training data and shaping the next generation of foundation models wed love to hear from you.
You will:
- Design finetune and evaluate large language models for structured quality evaluation and data generation tasks
- Develop robust evaluation frameworks to assess performance across accuracy instruction following reasoning and other critical dimensions
- Build and maintain scalable ML services to automatically assess and generate highquality training and evaluation data
- Research and apply stateoftheart techniques in LLM training posttraining alignment (e.g. instruction tuning RLHF) and toolaugmented reasoning
- Collaborate with research scientists engineers and product teams to integrate your work into production services used by top AI developers
Ideally youd have:
- 3 years of experience designing training and deploying ML models in production environments
- Strong background in NLP LLMs and deep learning frameworks like PyTorch TensorFlow or JAX
- Experience building microservices and deploying ML pipelines in cloud environments (e.g. AWS or GCP)
- Practical knowledge of LLM finetuning and evaluation for tasks like factuality instruction adherence and chainofthought reasoning
- Strong programming skills (e.g. Python) and a solid foundation in algorithms and data structures
- Strong communication skills and experience working crossfunctionally
Nice to haves:
- Experience with posttraining LLM techniques (instruction tuning RLHF tool use or agentbased reasoning)
- Familiarity with data evaluation pipelines dataset curation or scalable annotation workflows
- Background in multimodal ML or model evaluation across domains such as code or longcontext generation
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:
$172000 $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
