1 день назад
Backend/ML Engineer (AI)
13 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend/ML Engineer (AI): Building backend APIs, data pipelines, and integrations for AI/ML proof-of-concept projects with an accent on LLMs, embedding models, vision, and speech technologies. Focus on evaluating AI providers and models, defining practical solutions amid ambiguity, and turning emerging concepts into functional prototypes.
Location: Santa Clara, California, United States
Salary: $13,000–$150,000 USD per year
Company
is a global technology company developing solutions across home appliances, media and entertainment, vehicles, and eco solutions.
What you will do
- Build and iterate on backend REST APIs and data pipelines for AI/ML proof-of-concept projects.
- Integrate third-party AI services and models, including LLMs, embedding models, vision, and speech technologies.
- Set up evaluations across AI providers and models, collect results, and summarize findings.
- Work with stakeholders to clarify goals, identify requirement gaps, and contribute to early product discussions.
- Document technical findings, decisions, progress, and blockers for broader team visibility.
- Manage multiple concurrent workstreams and define practical paths forward in ambiguous environments.
Requirements
- 3–7 years of software engineering experience.
- Experience building and deploying REST APIs with FastAPI, Flask, or similar technologies.
- Familiarity with LLM APIs such as OpenAI, Anthropic, Gemini, or similar services.
- Working knowledge of SQL and at least one non-relational data store.
- Ability to work from loosely defined requirements and communicate technical findings to non-engineering audiences.
- Self-directed approach with proactive blocker and status communication.
Nice to have
- Experience evaluating ML models or comparing outputs across AI providers.
- Familiarity with embedding-based search, recommendation, or personalization.
- Experience writing technical specifications or findings for team handoff.
- Exposure to data ingestion from third-party APIs.
- End-to-end experience shipping an independent project, open-source contribution, or similar work.
Culture & Benefits
- Contract-to-full-time opportunity with benefits varying by employment status.
- Full-time employees receive medical, dental, vision, and prescription coverage with no-cost employee premiums.
- 401(k) plan with immediate vesting and company matching contributions.
- Paid time off, company holidays, paid sick and vacation time, and performance-based incentives.
- Mental health resources, fitness incentives, paid parental leave, and life and disability insurance.
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