Machine Learning Engineer (AI/ML)

HiringCafe; Cupertino (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive pay & equity

Flexible PTO & family leave

Full medical, dental, and vision benefits

Design your own perks as a core member of the founding team

Job summary

HiringCafe, located in Cupertino, California, is on a mission to revolutionize job discovery by creating a fast, honest job search engine. We invite technically strong candidates who have a solid foundation in programming and systems design to join our team.

The role offers ownership, competitive pay, and the opportunity to shape a product that makes a real difference in people's lives. You will be involved in building AI recommender systems and scalable infrastructure, with flexible benefits tailored for you.

Qualifications

• Ownership, leverage, and responsibility from day one.
• Capable of learning quickly and tackling unfamiliar problems.
• Detail-oriented and focused on quality.

Responsibilities

• Contribute to building AI recommender systems.
• Help create scalable infrastructure for a searchable platform.
• Engage in product engineering that affects user experience.

Skills

Strong programming fundamentals

Systems design knowledge

Machine learning background

Experience with search ranking systems

Ability to work on LLM agents

Job description

Job discovery is broken. Indeed and LinkedIn want to keep it that way. Join our team and help millions of people put food on the table by finding the perfect job.

Hiring.Cafe is building a 100× better job search engine — fast, comprehensive, honest, and actually useful. We index millions of jobs, remove noise, rank what matters, and help people find real opportunities without dark patterns, ads, or pay-to-win placement.

We don’t believe in hype. We believe in shipping product and listening obsessively to users. In 12 months, we grew from 0 → 1 million+ monthly active users in 12 months. So everything you ship goes directly to real people.

Our team

• Hamed Nilforoshan - Stanford AI PhD, Data Science at Airbnb & Snapchat
• Ali Mir - SWE at Meta, Rippling, DoorDash

What we’re building

• AI recommender systems that help people discover opportunities they wouldn’t have found on their own
• Scalable infrastructure that transforms fragmented web data into a clean, searchable platform
• A product where engineering, data, and design decisions directly shape how people find their next chapter

What you bring to the table

• You want ownership, leverage, and responsibility from day one.
• Technically strong with solid fundamentals in programming and systems design
• Able to learn fast and go deep on unfamiliar problems
• Obsessive about details, quality, and correctness
• Relevant experience to building AI search (one or more of the following)
• General machine learning background
• Large-scale search and ranking systems
• Retrieval infrastructure
• Building LLM Agents
• Competitive pay & equity
• Flexible PTO & family leave
• Full medical, dental, and vision benefits
• Design your own perks as a core member of the founding team