ML Solution Architect (Early Talent)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ML Solution Architect (Early Talent) (LLMs): Building and testing LLM-based solutions on a serverless inference and fine-tuning platform with an accent on prompt engineering, benchmarking, and inference optimization. Focus on running performance/quality experiments and contributing to tooling and automation that improves how the SA team delivers.
Location: Remote from USA
Base Compensation Range: $102–$126 USD
Company
builds a full-stack AI cloud platform for the global AI economy, covering compute, storage, networking, and applied AI from data to production deployment.
What you will do
- Build and test LLM-based solutions and applications using Token Factory inference services, including multimodal models (text, vision, audio).
- Assist senior Solutions Architects with prompt engineering, model selection, benchmarking, and inference optimization.
- Run performance and quality experiments to support proof-of-concept work.
- Contribute to internal tooling and automation that improves SA team delivery.
Requirements
- Currently pursuing or recently completed a BSc/MSc/PhD in Computer Science, Machine Learning, or a related field.
- Strong Python programming skills.
- Hands-on generative AI experience, including with common ML frameworks (e.g., PyTorch, Transformers).
- Strong communication skills and willingness to explain technical concepts to diverse audiences.
- Work authorization permitted to work in the job’s location (USA).
Culture & Benefits
- Paid temporary contract for 3 months with mentorship from senior Solutions Architects.
- Remote work is allowed from any timezone.
- US benefits include 100% company-paid medical, dental, and vision coverage, plus 401(k) match up to 4%.
- Parental leave: 20 weeks paid for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement up to $85/month for mobile and internet.
Hiring process
- Work through the 3-month program with close mentorship; strong performers may be considered for a full-time Solutions Architect role at the end.
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