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Staff AI Engineer, New Product Development

2 months ago

San Francisco, California, United States Us Organization Full time
About Us Organization

At Us Organization, we're dedicated to building a better internet for everyone. Our mission is to create innovative products and services that make a positive impact on people's lives.

Job Summary

We're seeking a highly skilled Machine Learning Engineer to join our Innovation Studio team. As a key member of our team, you will be responsible for developing and operationalizing machine learning models for our new product line. You will work closely with cross-functional teams to integrate best practices and technologies into our emerging products and services.

Key Responsibilities
  • Lead technical efforts to operationalize machine learning for a new product line that involves retrieval-augmented generation and workflow automation
  • Develop and execute strategic, scalable approaches to machine learning and generative AI that fit project stage, product roadmap, and organizational priorities and capabilities
  • Prototype cutting-edge machine learning experiments
  • Collaborate with cross-functional teams, including UX/UI designers, product managers, and other engineers to integrate best practices and related technologies into our emerging products and services
  • Stay up-to-date with advancements in machine learning, data science, natural language processing, and generative AI, and integrate relevant approaches and techniques
Requirements
  • 5+ years of experience as an Engineer focused on Machine Learning
  • High proficiency with modern machine learning concepts like deep learning, natural language processing, multimodal models, reinforcement learning, fine-tuning, with expertise in one or more areas
  • Experience with model training pipelines and model architectures (e.g. Transformers, RNNs)
  • Strong knowledge of Python
  • Experience working with vector databases (e.g. Chroma, Pinecone)
  • Adept with cloud application architectures and services such as Google Cloud Platform or Amazon Web Services
  • Experience developing software products in a startup or highly lean environments
  • Excellent problem-solving skills, with the ability to think creatively and strategically
  • Strong communication and collaboration skills, with a passion for learning and innovation
  • Excitement to build AI-driven products that can impact future experiences on the web
  • Comfortable with ambiguity and the unknown
Preferred Qualifications
  • Experience building scalable applications with 100k+ users
  • Experience with data security fundamentals and best practices
  • Experience with building pipelines for prompt engineering strategies and retrieval-augmented generation (RAG)
  • Experience with ML development frameworks such as Langchain
  • Experience integrating solutions into modern web frameworks such as React / Svelte
  • Experience with other web programming languages such as Javascript
  • Familiarity with Data Science or Data Infrastructure principles
What We Offer
  • Generous performance-based bonus plans to all eligible employees - we share in our success as one team
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country-specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
About Us

Us Organization exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Us Organization, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.