Software Engineer, ML Infrastructure - Training Platform Join to apply for the Software Engineer, ML Infrastructure - Training Platform role at Scale AI Software Engineer, ML Infrastructure - Training Platform Join to apply for the Software Engineer, ML Infrastructure - Training Platform role at Scale AI Scale is looking for an AI/ML Infrastructure Engineer to join our Machine Learning Infrastructure team to build out our Training Platform. You will partner closely with Machine Learning researchers to understand their requirements and apply your own domain expertise and our compute resources to accelerate experimentation throughput. The ideal candidate is someone who has strong fundamentals in machine learning, backend system design, and has prior ML Infrastructure experience. You should also be comfortable with infrastructure and large scale system design, as well as diagnosing both model performance and system failures. You will: Build highly available, observable, performant, and cost-effective APIs for model training. Participate in our team’s on call process to ensure the availability of our services. Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment. Exercise good taste in building systems and tools and know when to make build vs. buy tradeoffs, with an eye for cost efficiency. Ideally you'd have: 4+ years of experience building machine learning training pipelines or inference services in a production setting. Experience with distributed training techniques such as DeepSpeed, FSDP, etc. Experience building, deploying, and monitoring complex microservice architectures. Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform). Nice to haves: Experience with LLM inference latency optimization techniques, e.g. kernel fusion, quantization, dynamic batching, etc. Experience working with a cloud technology stack (eg. AWS or GCP). 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. Please reference the job posting's 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:
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