Senior Staff ML Forward Deployed Engineer (Enterprise GenAI)

Responsibilities

• Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more
• We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment
• The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems
• You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models
• You will solve hard engineering problems in scalability and reliability
• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Qualifications

• Experience scaling products at hyper growth startups
• Experience with major cloud providers (AWS, Azure, GCP)
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Experience with Kubernetes
• Proficient in Python or Javascript/Typescript, and SQL
• 7+ years of full-time engineering experience, post-graduation

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