Machine Learning Engineer
4 weeks ago
Join the mighty team at Supernormal bringing the future of work closer to the present. We're a rapidly growing platform solving a real need for thousands of people every day – automating meeting notes and tasks. As an engineer at Supernormal, you’ll play a major role in developing our product experiences and a workplace that people love. Together we’ll help people save time and meet more efficiently so our customers can focus on what matters – like sending satellites to space or running their local government.
Machine learning engineers at Supernormal build the AI that superpowers the core product experience for people’s meetings including transcription, note generation, and task automation. The AI team builds reliable and secure services that use the most advanced AI models in the market to generate millions of high-quality meeting notes to a rapidly growing customer base. Our work revolves heavily around software engineering, too – we are looking for people with a drive to roll up their sleeves and get new models and features out to users as quickly as possible.
Supernormal is a well-funded growth stage startup backed by EQT Ventures, Balderton Capital, and byFounders VC. We’re growing rapidly in a competitive market with an AI-powered product used by thousands every day. If you want to operate with high autonomy in an environment where you’ll get to flex your skills to build great products with great people, Supernormal is your place.
What you’ll work onThe AI team at Supernormal owns everything about how meeting notes, question answering, and task completion are generated. This includes LLM API calls, custom model training and deployment, speech recognition, quality evaluation and fixes, retrieval augmented generation, and much more. We optimize for cost, latency, and quality. Some of the projects include:
- 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 to improve transcript quality, reduce tokens sent to APIs, remove defects in LLM output, and extract semi-structured data.
- Training and deploying custom large language models from open source using state-of-the-art techniques (LoRA, RLHF, instruction-tuning, etc)
- 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 how we use 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
What you will bringWe are a fast-moving startup building zero-to-one products on top of large language models. The ideal candidate is passionate about machine learning modeling, with a foundational understanding of algorithms and hands-on experience in developing and optimizing models. You exhibit proficiency in basic data analysis, feature engineering, and model evaluation, with a willingness to learn and grow in the field.
- AI/ML Experience: Demonstrated experience working on real-world machine learning projects, either through internships, academic projects, or professional experience. Experience in model evaluation, validation, and tuning, as well as familiarity with handling large datasets and deploying models into production environments, is highly desirable.
- A Solid Educational Foundation: Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or related field; Master’s degree or PhD in related disciplines is a plus.
- Software Engineering Skills: Knowledge of software development principles and best practices, such as version control, code review, and testing. Experience with collaborative development tools and platforms, such as GitHub.
- 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
- A collaborative and open outlook — we’re all about lifting each other up and getting better every day.
- A willingness to get deep into a problem even when it seems impossible. You’ll always have support from the team.
- Confidence operating with high agency. We’ll work together to decide what’s important, but we’d love for you to bring (and build) your own ideas.
- You’ll come in willing to learn why things are the way they are, then suggest a better way.
- You’ll understand that there’s no difference between “my idea” and “their idea.” It’s our ideas and we’re all responsible for it.
- You’ll approach speed bumps and reviews through a “how can the team level up?” lens — let’s all get better and learn, together.
- We’re a fully distributed team spread between Pacific Time (Seattle) 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
Benefits
-
Machine Learning Engineer
1 week ago
Seattle, United States Spaceflight Industries Full timeMachine Learning Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe. BlackSky is trusted by the most...
-
Machine Learning Engineer
2 hours ago
Seattle, United States IUNU Full timeJob DescriptionJob DescriptionAt IUNU (“you knew”), we're amplifying the ability of growers to produce the highest quality greenhouse crops by leveraging robotics, computer vision, and AI. Our LUNA system is deployed at greenhouses in more than 15 countries, providing critical information like yield forecasts, pest detection, and germination rates to...
-
Machine Learning Engineer
1 week ago
Seattle, United States Tiger Analytics Full timeTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including...
-
Machine Learning Engineer
4 weeks ago
Seattle, United States Tiger Analytics Full timeJob DescriptionJob DescriptionTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various...
-
Machine Learning Engineer
4 weeks ago
Seattle, United States Tiger Analytics Full timeTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including...
-
Machine Learning Engineer
1 month ago
Seattle, United States Tiger Analytics Full timeTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including...
-
Software Engineer I-Machine Learning
4 days ago
Seattle, United States FIS - Fidelity Information Services Full timeDesign, build, and manage the data pipelines and infrastructure that collect, store, and process large volumes of transactional and customer data from various sources. Develop, deploy, and scale machine learning models and applications in production Software Engineer, Machine Learning, Engineer, Software, Data Scientist, Technology
-
Senior Machine Learning Ops Engineer
1 week ago
Seattle, United States Nextdoor Full time#TeamNextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those...
-
Senior Machine Learning Ops Engineer
4 days ago
Seattle, United States Nextdoor Full time#Team NextdoorNextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those...
-
Senior Machine Learning Software Engineer
2 days ago
Seattle, United States Metropolis Full timeMetropolis is an artificial intelligence company for the real world. Metropolis' computer vision platform enables people to transact in the physical world with even greater ease than we experience online. Today, we are reimagining parking. Because it's important, it's everywhere, and impacts everyone – enabling millions of consumers to just "drive in and...
-
Senior Scientist, Machine Learning
7 days ago
Seattle, United States A-Alpha Bio, Inc. Full timeA-Alpha Bio is an early-stage and rapidly growing drug discovery company headquartered in Seattle, WA. We are enabling the next generation of high-impact therapeutics by combining high-throughput synthetic biology to measure protein-protein interactions at scale with state-of-the-art machine learning to predict how proteins bind. We partner with leading...
-
Senior Scientist, Machine Learning
1 week ago
Seattle, United States A-Alpha Bio Full timeJob DescriptionJob DescriptionA-Alpha Bio is an early-stage and rapidly growing drug discovery company headquartered in Seattle, WA. We are enabling the next generation of high-impact therapeutics by combining high-throughput synthetic biology to measure protein-protein interactions at scale with state-of-the-art machine learning to predict how proteins...
-
Machine Learning Engineer
1 day ago
Seattle, United States Supernormal Full timeAbout the role Join the mighty team at Supernormal bringing the future of work closer to the present. We're a rapidly growing platform solving a real need for thousands of people every day - automating meeting notes and tasks. As an engineer at Supernormal, you'll play a major role in developing our product experiences and a workplace that people love....
-
Seattle, United States Amazon.com Inc Full timeAWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and the Trn 1 and Inf 1 servers that use them. This role is for a software engineer in the Neuron Inference (ML Apps) team for AWS AWS, Neuro, Engineer, Machine Learning, Technology, Software
-
Applied Machine Learning Engineer
1 month ago
Seattle, United States DoorDash Full timeAbout the RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to build recommendation system, and implementing new AI solutions to expand restaurants selection and drive their growth. You’ll be conceptualizing, designing, and evaluating...
-
Principal, Software Engineer/ Machine learning
11 hours ago
Seattle, United States Walmart Global Tech Full timeAre you passionate about pioneering cutting-edge technology combining mobile, data, and AI to revolutionize Walmart's associate (employee) experiences? Do you dream of creating innovative systems and products that make a big impact to more than 2 million users across the globe? As a Walmart Principal Software Engineer, you will play a pivotal role in...
-
Sr Data Scientist with Machine Learning
4 weeks ago
Seattle, United States eTek IT Services, Inc. Full timeJob DescriptionJob DescriptionRole : Sr Machine Learning Engineer with AILocation : RemoteExperience : 10+yearsW2 Contract JD :Job Description Title: Sr Engineer (Artificial Intelligence/Machine Learning) Location: Local Hybrid (3 days)Duration: 12 Months with potential for extension or FTE conversion Key projects:·& & & & & & & & Starbucks exploration of...
-
Machine Learning Performance Architect
2 days ago
Seattle, United States d-Matrix Full timed-Matrix has fundamentally changed the physics of memory-compute integration with our digital in-memory compute (DIMC) engine. The "holy grail" of AI compute has been to break through the memory wall to minimize data movements. We've achieved this with a first-of-its-kind DIMC engine. Having secured over $154M, $110M in our Series B offering, d-Matrix is...
-
Seattle, United States HireIO Inc Full timeLocation: Usa/Usa/California/Sf Bay Area, Seattle Sponsor Visa? Yes Requirements 1. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred; 2. Experience in one or more of the following areas: NLP, Ranking, Ads, search...
-
Machine Learning Engineer, Large Language Model
1 month ago
Seattle, United States Hireio, Inc. Full timeJob DescriptionJob DescriptionLocation: Usa/Usa/California/Sf Bay Area, SeattleSponsor Visa? YesRequirements1. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;2. Experience in one or more of the following areas:...
