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🇺🇸 Machine Learning Engineer (TBD) - Prompt Engineering Jobs 🇺🇸 Machine Learning Engineer - Prompt Engineering Jobs

🇺🇸 Machine Learning Engineer Full time

Supernormal
United States of America (Remote)
TBD

Job Description

As an ML engineer on Supernormal's AI team, you will be responsible for the end-to-end development of our AI solutions for meeting notes, question answering, and task completion. Your work will encompass LLM API calls, custom model training and deployment, speech recognition, quality evaluation and fixes, retrieval augmented generation, and much more. You'll play a key role in optimizing for cost, latency, and quality.

Responsibilities

- Prompt engineering using state-of-the-art techniques to improve the core meeting assistant scenarios. - Building and shipping custom machine learning models to augment the AI stack, including improving transcript quality, reducing tokens sent to APIs, removing defects in LLM output, and extracting semi-structured data. - Training and deploying custom large language models from open source using state-of-the-art techniques (LoRA, RLHF, instruction-tuning, etc) and fine tuning foundation models for a variety of business purposes - Developing new product experiences using NLP & LLMs that get better based on user feedback & iteration while collaborating with product engineers & design team. - Defining and improving business & product metrics to optimize the quality and cost of AI usage. - Improving LLM-powered search and question answering (using RAG) over sets of meetings. - Advocating for, and building, new and better ways of doing things. You’ll leave everything you touch just a bit better than you found it.

Requirements

- AI/ML Experience: Demonstrated proficiency in AI/ML with a track record of at least 3-5 years experience building machine learning systems, up to speed on the latest in NLP & LLMs, and proficient in data curation, modeling, and training models. We require skills for shipping and maintaining ML in production settings. - A Solid Educational Foundation: Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or related field; Master’s degree or PhD a plus. - Versatile Software Engineering Skills: A solid engineering background with a robust foundation in software engineering principles. You have written code for and supported production engineering systems. - Proficient in Python and SQL: our AI stack uses Python & PyTorch and interfaces with Ruby on Rails (bonus if you know it, but not required) and we write a lot of SQL queries on top of Snowflake to pull data

Benefits

- We’re a fully distributed team spread between Pacific Time (California) and Central European Time (Stockholm) with lots of places in between. We’ll see you most days in Slack, Google Meet, GitHub issues, and Notion. Sometimes in person in a place with a warm breeze - We’re a friendly bunch and are happy to pair, talk through, or otherwise assist any time - Honest and timely feedback. We’re all better when we can have candid conversations about what is and isn’t working - A willingness to listen to your ideas: how can the codebase, our product, or team be better? - A respect for your time outside of work. We all work hard here, but we never forget to rest and have fun - Competitive salary, 401K - Stock options - Full healthcare coverage (Medical, Dental, and Vision) - Totally remote. Not hybrid. Remote. No return-to-office here - WFH budget to make sure you have everything you need to do your best work - Annual team-wide offsite to someplace cool - Education credit (up to $500 per year) - Unlimited PTO (minimum 4 weeks)