Applied Machine Learning Engineer

AI startup empowering companies to build AI capabilities that can Think, Understand and Orchestrate, enabling teams to move from prototyping to production.
$180,000 - $198,000
Machine Learning
Mid-Level Software Engineer
Hybrid
11 - 50 Employees
3+ years of experience
AI · Enterprise SaaS

Description For Applied Machine Learning Engineer

MindsDB is a rapidly growing AI startup based in San Francisco, backed by over $55M in funding from notable investors including Mayfield, Benchmark, YCombinator, and nVidia. Founded in 2017, the company has established itself as one of the most widely used AI-Data platforms globally, with a community of over 700 contributors worldwide. The company is seeking a Sales Engineer to join their partnerships and sales teams, focusing on designing and delivering AI solutions to customers.

The role combines technical expertise with customer-facing responsibilities, requiring deep knowledge of the AI landscape including LangChain, Llama Index, and various model families. The ideal candidate will serve as a bridge between technical capabilities and business needs, working closely with the business development team to provide solutions tailored to customer requirements.

This position offers an exciting opportunity to work at the forefront of AI technology while contributing to the growth of a recognized industry leader. MindsDB has been acknowledged 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 comes with comprehensive benefits including competitive compensation, flexible working arrangements, and various allowances for professional development and wellbeing.

The successful candidate will have the chance to shape the future of AI implementation across various industries while working in a dynamic, fast-paced environment that values innovation and technical excellence. This role is perfect for someone who combines strong technical skills with excellent communication abilities and a passion for helping customers succeed with AI solutions.

Last updated a month ago

Responsibilities For Applied Machine Learning Engineer

  • Embed within business development team as technical thought partner in sales process
  • Provide technical expertise during sales process
  • Demonstrate MindsDB capabilities to potential customers
  • Lead technical discovery sessions
  • Create reference architectures
  • Analyze customer requirements and design solutions
  • Channel customer feedback to product team
  • Maintain deep market expertise in AI and ML
  • Contribute to technical resources and documentation
  • Help scale the solutions engineering function

Requirements For Applied Machine Learning Engineer

  • BA/BS degree, preferably in computer science or related field
  • 3-7 years in solutions engineering or architect role
  • SQL expertise
  • Ability to travel up to 15% of time
  • Scrappiness, independence, end-to-end project ownership
  • Experience with AI / LLMs (preferred)
  • Experience with ML or predictive analytics (preferred)
  • Located in SF / Bay Area

Benefits For Applied Machine Learning Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
Commuter Benefits
  • Remote and Hybrid Roles
  • Flexible Working Hours
  • Competitive Compensation
  • Medical, Dental, Vision, Life Insurance
  • 401k with up to 6% matching
  • Unlimited PTO
  • New Hire Remote Setup budget ($1500)
  • Lunch Provided Mon-Fri
  • Internet Budget ($25/month)
  • Commuter Budget ($1200/year)
  • Learning & Development budget
  • Wellbeing Budget ($1200/year)
  • Monthly virtual team events
  • International in-person company retreats
  • Wellbeing/Mental Health leave

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