Senior AI Engineer, January
$150-250k
+ Equity Packages
Office located in Menlo Park CA
Personalised blood sugar monitoring
Job no longer available
Personalised blood sugar monitoring
21-100 employees
Job no longer available
$150-250k
+ Equity Packages
Office located in Menlo Park CA
21-100 employees
Company mission
To help people live their healthiest lives, giving them the tools to take full control of their health.
Role
Who you are
- A BS degree in Computer Science, Software Engineering, or a related field is required
- 4+ years of professional experience building and deploying machine learning models into a production environment
- High proficiency in Python and its core machine learning libraries (e.g. PyTorch, TensorFlow, Hugging Face, scikit-learn)
- 1-2 years of hands-on experience architecting solutions with Large Language Models (LLMs), including direct experience with models from OpenAI, Google, Anthropic, or open-source alternatives
- Proven experience with vector databases (e.g. Pinecone) and a strong grasp of the principles behind semantic search, retrieval, and ranking
- A proven track record of working with LLMs and building and optimizing RAG systems from first principles
- Solid software engineering fundamentals, including proficiency with SQL databases and experience working in a cloud environment (AWS, GCP)
- A strong, quantitative background in the evaluation of ML models, including defining novel metrics, statistical validation, and designing A/B tests for a product setting
- Local or West Coast-based candidates are preferred
What the job involves
- Architect and Productionize Advanced AI Systems: Lead the end-to-end development of production-grade AI systems
- This includes designing, tuning, and deploying models that translate complex, multi-modal health data (genomics, continuous glucose monitoring, wearable data, nutrition logs) into actionable, personalized insights
- Innovate in Retrieval and Reasoning: Engineer and implement sophisticated Retrieval-Augmented Generation (RAG) pipelines
- You will move beyond basic semantic search to develop novel strategies that fuse structured and unstructured data, enabling deep reasoning over a user's complete health profile
- Fine-Tune and Customize Foundational Models: Fine-tune and customize state-of-the-art language and multi-modal models (e.g. Llama 3, GPT, Gemma) on our proprietary datasets to enhance model accuracy, relevance, and safety for mission-critical health applications
- Build and Evaluate AI Agents: Develop, evaluate, and iterate on novel AI-powered features
- This includes building multi-step AI agents capable of complex reasoning and tool use to guide users toward better health outcomes within our digital ecosystem
- Champion Machine Learning Excellence: Establish and champion best practices for the entire ML lifecycle
- You will own data preprocessing, model evaluation, performance monitoring, and MLOps to ensure our solutions are robust, scalable, and scientifically valid
- Drive Research into Application: Stay at the forefront of AI research by actively consuming academic papers, medical research, experimenting with new architectures, and translating cutting-edge techniques into tangible product innovation
- Our team collaborates in real-time during standard working hours Pacific Time
Our take
Almost one in ten Americans have Type 2 Diabetes, yet the existing management strategies for dietary intake are flawed. Patients are generally told not to eat a uniform set of foods, regardless of the fact that every person’s nutritional requirements are different.
January provides an AI-driven personalized diabetes advisor in the form of a mobile app. The subscription-based service suggests nutrition and activity recommendations based on each user's nutritional profile. Ultimately, January’s aim is to provide a customized tool for people to manage their blood sugar levels.
The startup’s approach to diabetes management is particularly impressive as its focus on personalization has the potential to save lives. Not only does the AI tackle the dangers in the uniformity of existing diabetes health information, but by considering each person and their body, the app could provide essential information to users that they may not receive otherwise.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2022
$13m
EARLY VC
Feb 2021
$8.8m
EARLY VC
Total funding: $42.8m
Company benefits
- Equal opportunity employer
- 401k matching
- Company equity
- Dental and vision insurance
- Pre-tax commuter benefits
- Work from home opportunities
- Health insurance
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Noosheen Hashemi
(Founder & CEO)Having studied at Stanford, Noosheen worked for Oracle for a decade as VP, and served on the Board of Watermark for 17 years. After various Advisory and Investment positions, they founded January in March 2017, serving since as CEO.
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