Senior Data Scientist, Machine Learning Engineer

About Shelf

There is no AI Strategy without a Data Strategy. Getting GenAI to work is mission-critical for most companies but 90% of AI projects havent deployed. Why Poor data qualityits the #1 obstacle companies face getting GenAI into production.

Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they go into an LLM and create bad answers.

Were partnered with Microsoft Salesforce Snowflake Databricks OpenAI and other leaders bringing GenAI to the enterprise. Our mission is to empower humanity with better answers everywhere.

Summary

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering ML engineering and pragmatic Data science and Machine learning research. You will ship end-to-end featuresfrom problem framing and experimentation to service deployment and ongoing operationsquickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon Mayo Clinic AmFam and Nespresso.

This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions along with ML research literacy to choose sound methodologies define metrics and evaluate different approaches effectively.

Youll work in an agile environment move fast and own what you ship.

Responsibilities

• Own end-to-end delivery: ideate research prototype productionize and operate ML-powered services with an expectation to iterate and ship frequently
• Stand up robust training/evaluation pipelines: dataset curation labeling/feedback loops experiment tracking offline/online metrics and A/B testing
• Solve problems using sound methodology evaluate approaches along with
• Transform ML models and LLM workflows (including RAG) into reusable versioned observable production services with CI/CD
• Collaborate with Product Owners to shape our product and requirements
• Conduct and receive code reviews; champion engineering excellence testing discipline and documentation
• Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
• Share learnings through demos docs and knowledge sessions; contribute to a culture of continuous improvement

Requirements

• 3 years of professional experience researching and shipping ML-based solutions with strong Python skills and a track record of delivering fast without sacrificing quality
• Proven experience in owning research problems end-to-end starting from initial data analysis through iterative research phases to delivering on production
• Practical NLP/LLM experience: transformers embeddings prompt design and evaluation; ability to choose and justify metrics and methodologies
• Strong backend fundamentals: designing RESTful services schema design data modeling and performance tuning for SQL and NoSQL stores
• Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g. Airflow Step Functions)
• Strong English verbal and written communication

As a plus

• LLM ops and safety: eval frameworks (e.g. RAGAS) guardrails red-teaming prompt optimization at scale
• Model optimization: quantization distillation pruning; GPU/accelerator-aware serving
• Experience with AWS ML stack (SageMaker Batch Step Functions Lambda SQS/SNS DynamoDB ECS EC2 S3)
• Vector databases and search: Pinecone Elasticsearch pgvector FAISS or DeepLake
• Background in reinforcement learning agent frameworks or autonomous agents
• Publications open-source contributions GitHub portfolio

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Moderntechnical stack. Developopen-source software
• Premier AI development environment: GitHub Copilot Claude Code OpenAI TypingMind v0 MCP Servers plus credits to experiment with emerging AI tools

Why Shelf

• Leadership with deep knowledge management AI and enterprise SaaS expertise
• Customers love us for innovative capabilities reliability and measurable business impact
• $60M raised from top-tier investors including Tiger Global Insight Partners and Base10
• High-velocity growth tripling year over year for three consecutive years
• 100 employees across the U.S. and Europe with ambitious hiring plans

Our Values:

Quality- Were united by our focus on worldclass Quality. Quality in all things starting with everything that leaves your desk. Everything you touch every email report campaign and piece of code should be outstanding. Your work product should blow people away. Having people look at what youve done and say Wow. Thats the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanshipyour ability to make things better.

Momentum- for us means that you should know that the things youre responsible for are moving forward. When you look around and see something thats stalled get it moving again. We pride ourselves on ball movement. When your boss or team leaves you with something they should return to see measurable progress. Small continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions ideas and progress. Dont wait for it to come to youreach out and create movement. All the time.

Accountability- We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations give each other open and respectful feedback and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work- Were here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours extra effortand real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other cheer each other on drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility- Were innovating in one of the fastestmoving spaces in history at a time of accelerating global change. Thats incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skillwe need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive- Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunitiestheyre the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something youll share with every team youre on at Shelf. Our company stories are about thriving through real difficultytogether.

Win Together- We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honestyreal candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company always acting in service to our shared mission and whats best for the organization as a whole.