1 ΡΠ°Ρ Π½Π°Π·Π°Π΄
AI Engineer
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
AI Engineer (LLMs and Agentic AI): Building production-ready AI workflows, models, and data pipelines for an autonomous AI Production Engineer with an accent on LLM fine-tuning, model evaluation, and high-volume data processing. Focus on researching reinforcement learning, retrieval-augmented generation, and autonomous reasoning while optimizing performance and compute costs.
Location: San Francisco, United States; on-site
Company
is building an autonomous AI Production Engineer that investigates and fixes complex production and system issues end-to-end.
What you will do
- Develop AI-powered workflows and production-ready AI models for production engineering and reliability use cases.
- Build and optimize high-volume data pipelines for structured and unstructured data used in training and evaluation.
- Design benchmarks to evaluate model performance and reduce compute costs.
- Fine-tune and train large language models.
- Research reinforcement learning, retrieval-augmented generation, autonomous reasoning, and multi-agent techniques.
- Translate research into scalable AI-powered solutions in collaboration with engineering and research contributors.
Requirements
- Deep experience with foundation models such as GPT-4, Llama, or Gemini, including fine-tuning, prompt engineering, and optimization.
- Strong software engineering skills in Python, Go, or C++, with experience in distributed systems and cloud infrastructure.
- Experience with large-scale data pipelines, embeddings, vector databases, or search.
- Understanding of transformers, deep learning, and self-supervised learning.
- Ability to work on-site in San Francisco.
Nice to have
- Experience with RLHF or RLCEF.
- Experience with retrieval-augmented generation or multi-agent AI systems.
Culture & Benefits
- End-to-end ownership in a collaborative, high-trust environment.
- Medical, dental, and vision insurance.
- Monthly housing stipend and flexible unlimited paid time off.
- Visa sponsorship and immigration support.
- 401(k), parental leave, and technology stipend.
- Daily in-office lunches and dinners.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β