AI Infrastructure Engineer, ML Data Platform
AI Infrastructure Engineer, ML Data Platform
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 188000 - 225600
1 Vacancy
Job Description
Scales AI Infrastructure team supports both R&D and applied Generative AI initiatives driving breakthroughs in areas of posttraining research such as AI safety agents and evaluating stateoftheart model performance.
As a Data Infrastructure Engineer on the AI Infrastructure team you will design build and scale the data platform that powers all R&D and applied ML initiatives at Scale. Collaborating closely with product engineering platform engineering and ML researchers you will build robust and easytouse APIs and data pipelines. Your work will play a critical role in advancing frontier ML research accelerating the data sales cycle and improving data quality all while optimizing infrastructure costs.
You will:
- Design implement and maintain scalable data platforms to support diverse R&D and applied ML workloads.
- Partner with ML researchers product engineers and operations teams to align data infrastructure with organizational goals.
- Collaborate with ML researchers to build data access tools that help advance the state of frontier posttraining research.
- Participate in our teams on call process to ensure the availability of our services.
- Own projects endtoend from requirements scoping design to implementation in a highly collaborative and crossfunctional environment.
Ideally youd have:
- 2 years of experience in building and operating largescale distributed data systems that support ML workloads.
- Expertise in modern data platform technologies.
- Experience working with standard containerization & deployment technologies like Kubernetes Helm Terraform Docker etc.
- Strong problem solving skills and the ability to work effectively in a fast paced dynamic environment.
Nice to haves:
- Familiarity with ML development tools such as PyTorch HuggingFace or Weights & Biases.
- Experience with a variety of storage systems: object (S3) document (MongoDB) relational (Postgres) and distributed (Redis Elasticsearch).
- Exposure to orchestration platforms like Temporal Airflow or AWS Step Functions.
- Experience supporting posttraining workflows such as evaluation finetuning and RLHF in LLM systems.
- Experience working in a fastmoving startup or highscale ML infra environment.
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:
$188000 $225600 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
