Applied Machine Learning Engineer

About Us

MindsDB is a fast-growing open-source company that enables developers to quickly integrate Artificial Intelligence Logic into applications and ship AI-powered solutions from prototyping & experimentation to production in a fast & scalable way.

MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and based in San Francisco, California, is backed with over $50M in total funding from Mayfield, Benchmark, YCombinator, OpenOcean, Walden Catalyst Ventures, MMC, Speedinvest, TQ Ventures and the University of California Berkeley SkyDeck fund. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022).

THE ROLE

We are looking for a passionate Applied Machine Learning Engineer to transform our customer’s unique business problems into successfully deployed ML solutions.

In this role, you will join our growing team to uncover the customer’s technical goals, challenges and technology stack. As the key end-to-end technical point of contact for our customers you will plan how MindsDB can best help customers to overcome their challenges and ensure their final outcomes are delivered quickly and effectively. You will own customer deployments, get customers into production and keep them ecstatically happy as they grow into their new collaboration with MindsDB.

The Applied ML Engineer will work closely with the ML and Engineering teams, contributing in the design and implementation of new requested features through reliable, reusable code in MindsDB. This will often involve researching state of the art technologies, managing multiple projects and developing proofs of concept.

This is a hybrid role in the Bay Area - we are looking for a candidate able to come into the office a few days/week.

Key Responsibilities

• Effectively project manage multiple projects
• Proactively understand potential customer’s business goals, and deliver successful state-of-the-art ML solutions
• Contribute reliable, reusable code to MindsDB python packages
• Partner with the Business Development team for initial discovery calls and customer on-boarding
• Build and lead tailored product demos
• Collaborate with customers and internal teams to design and execute project plans
• Support your teammates across the company
• Lead implementation/deployments of MindsDB from both an AI and software engineering perspective
• Be the technical point of contact for clients and prospective customers - relaying their needs, wants and any feature gaps to the Product team
• Lead and ensure successful POCs
• Become an expert in the MindsDB product and technology stack

KEY REQUIREMENTS

• 4+ years of experience as a Data Scientist / ML Engineer
• Confident in Python, SQL, Git, NumPy, Pandas, and one of PyTorch/Jax/TF/Keras
• Excellent communication and organisational skills

NICE TO HAVE

• Experience training and/or deploying large transformer neural networks
• Substantial contributions to other open source ML projects
• Experience training and/or deploying generative ML models
• Experience with AutoML frameworks
• Publications in ML conferences or associated workshops

Benefits & Perks:

• New Hire Remote Setup budget
• Wellbeing/Mental Health leave
• Monthly Wellbeing Budget
• Medical, Dental, Vision Insurance (US only)
• Learning & Development budget
• Remote and Hybrid Roles
• International in-person company retreats
• Competitive Compensation
• Unlimited PTO
• Monthly (virtual) team events
• Flexible working hours

Diversity, Equality & Inclusion

MindsDB is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. MindsDB will give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.