1 час назад
Applied Scientist II (AI)
142 800 - 193 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Scientist II (AI): Building an autonomous deep-research agent for Sponsored Products that analyzes advertiser portfolios, campaign performance, competitive intelligence, and market dynamics with an accent on agentic architectures, LLM customization, and evidence-backed optimization strategies. Focus on designing multi-step reasoning and tool-use workflows, training and evaluating models, building ML-backed bid simulations, and creating reliable safety guardrails at scale.
Location: United States — Seattle, New York, or Palo Alto
Salary: $142,800–$193,200 annually in Seattle; $172,400–$223,400 annually in New York; $171,600–$222,200 annually in Palo Alto
Company
Ads develops advertising products and generative AI technologies that help advertisers create, optimize, and grow campaigns across .com and beyond.
What you will do
- Design and build autonomous agents for Sponsored Products campaign research.
- Develop agentic architectures using planning, tool orchestration, multi-step reasoning, and multi-agent workflows.
- Apply supervised fine-tuning, instruction tuning, preference optimization, and other model optimization techniques.
- Curate training and evaluation datasets and develop MCP tool definitions, data retrieval systems, and simulation endpoints.
- Build automated evaluation pipelines, multi-step reasoning benchmarks, and safety guardrails.
- Collaborate with scientists, engineers, product managers, and stakeholders to bring AI innovations into production.
Requirements
- PhD, or a master's degree and 4+ years of experience in computer science, computer engineering, machine learning, or a related field.
- 3+ years of experience building models for business applications.
- Programming experience in Java, C++, Python, or a related language.
- Experience designing experiments and performing statistical analysis of results.
- Experience with AI and machine learning technologies.
- Ability to work independently on ambiguous technical problems and collaborate across engineering and product teams.
Nice to have
- Professional software development experience.
- Experience designing state-of-the-art deep learning architectures, training and optimizing deep learning models, and model pruning.
Culture & Benefits
- Work on AI systems supporting research and optimization for approximately 1.6 million advertisers.
- Health, dental, vision, prescription, life, and AD&D insurance options.
- 401(k) matching, paid time off, and parental leave.
- Flexible Spending Accounts, employee assistance, mental health support, and medical advice services.
- Sign-on payments and restricted stock units may be included in the compensation package.
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