2 дня назад
Senior Machine Learning Engineer (AI)
153 750 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Designing and deploying autonomous AI agents and multi-agent systems for talent management with an accent on LLMs, reinforcement learning, and scalable cloud infrastructure. Focus on building Copilot GenAI workflows, solving distributed-system performance challenges, and developing personalized agent experiences from enterprise and user data.
Location: Hybrid in Santa Clara, California, United States. Employees based near the Santa Clara office are expected to work from the office three days per week.
Base annual salary: $153,750–$225,000, plus a discretionary bonus of up to 15% and pre-IPO equity.
Company
.ai develops AI-powered talent management products that help users connect with career opportunities.
What you will do
- Research, design, develop, and deploy AI agents and agentic systems.
- Architect multi-agent systems with planning, decision-making, and execution capabilities.
- Integrate large language models and other advanced AI techniques into agent experiences.
- Build scalable and reliable infrastructure for operating AI agents in production.
- Develop Copilot GenAI Workflows that enable chat-like command execution.
- Collaborate with product managers, UX designers, and engineers while diagnosing distributed-system issues and optimizing performance.
Requirements
- 2–5+ years of relevant machine learning experience.
- Knowledge of machine learning algorithms, GenAI, LLMs, and agentic AI.
- Understanding of agent-based modeling, reinforcement learning, autonomous systems, distributed systems, and microservices.
- Proficiency in Python and experience with TensorFlow or PyTorch.
- Experience with AWS, Docker, and Kubernetes.
- Bachelor’s, master’s, or Ph.D. in computer science, artificial intelligence, or a related field, or equivalent experience.
Nice to have
- Research experience in agentic AI or related fields.
- Experience building and deploying AI agents in real-world applications.
Culture & Benefits
- Hybrid work model emphasizing regular in-person collaboration.
- Family medical, vision, and dental coverage.
- Eligibility for equity awards and discretionary bonuses or commissions.
- Opportunities for technical growth and knowledge sharing.
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