MTS, Applied Scientist

Delphina, Inc; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Delphina, Inc is looking for an Applied Scientist to join their Technical Staff. This role will focus on automating ML workflows, partnering with customers, and leveraging advanced technologies to enhance the product offering. Ideal candidates will have a strong background in feature engineering and deep learning, coupled with a passion for continuous improvement.

Benefits

Equity in the company

Medical, dental, and vision insurance

401k

Unlimited PTO

Top of the line Apple equipment

Free lunch in the office

Qualifications

• Practical experience in feature engineering and feature search.
• Track record of success in ML systems.
• Desire to improve product and personal skills.

Responsibilities

• Conduct research on automating ML workflows.
• Partnering with customers to understand their needs.
• Collaborate with cross-functional teams to drive product outcomes.

Skills

Feature engineering

Tree-based models

Deep learning

Timeseries modeling

Production ML use-cases

AutoML

Software engineering

Growth mindset

Tools

Spark

Snowflake

Job description

• Today's Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work - e.g. Jupyter notebooks and Pandas - are over a decade old.
• We founded Delphina to change this : our mission is to help the world get better at using data to understand the present and predict the future. Delphina is an AI Agent for Data Science : leveraging a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines.
• Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML.
• We're backed by top AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.
• This role is based in San Mateo, CA. We are in person 2-3 days per week and offer relocation assistance to new employees. In select cases we offer remote options.

What you'll do

• We're looking for an Applied Scientist to join as a Member of our Technical Staff at Delphina
• As one of our key hires, you will partner closely with our team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture.
• As an Applied Scientist at Delphina, you will conduct research investigating how ML workflows can be automated. You will be responsible for :

Making sense of existing research and transforming the latest academic research and best practices into production-ready solutions. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from both the research literature and of your own creation.

• Partnering closely with customers. It's both critical that our early customers are successful in using the Delphina product, and also that you are an expert in what customers really need.
• Turning science and customer needs into product. We expect our Applied Scientists to collaborate closely with the rest of our cross functional team to shape our direction and drive outcomes.
• Working independently. We believe that scientists benefit from high levels of autonomy and we are indexed on giving you the space you need to succeed.

What we're looking for

• We are looking for practical experience in the following areas :

Feature engineering and feature search

• Tree-based models and deep learning
• Timeseries modeling
• Production ML uses-cases in areas including fintech and manufacturing
• LLM Agents
• AutoML
• Sufficient software engineering skills to conduct large-scale research experiments and build production prototypes
• Demonstrated track record of success
• Energy and ambition to build a product that is surprisingly good in surprising ways.
• Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done.

Nice to haves

• Experience building + shipping ML production systems
• Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)
• Equity in the company
• Medical, dental, and vision insurance
• 401k
• Unlimited PTO
• Top of the line Apple equipment
• Free lunch in the office

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