Moonhub

Benefits:

• 100% covered premium health + dental insurance

• company offsite trips

• work-from-home stipend

• 401k

Education Requirements:

• Masters in ML (or equivalent domain experience)

Experience Requirements:

• 6+ years software development experience at a venture-backed startup or top technology company

• 2+ year operating in a technical lead capacity

• Experience in mentoring fellow engineers through pairing, code review, and giving actionable feedback

• Experience building products and systems that leverage ML, AI, and LLMs

• Experience in startup environment (founder or early engineer)

Other Requirements:

• Ability to understand complex domains and product requirements and translate into high quality product and technical solutions

• Fluency in building backend and full-stack web applications in Python and React

• Excellent technical communication and ability to collaborate with partners of all levels and functions

• Experience working in data intensive applications

• Experience with search

Responsibilities:

• lead the design, development, and delivery of AI services and products

• tackle ambiguous problems in recruiting with even more ambiguous data, software, and AI solutions

• collaborate closely with product, design, and recruiting to prototype innovative approaches and architect scalable systems

Benefits:

• 100% covered premium health + dental insurance

• company offsite trips

• work-from-home stipend

• 401k

Education Requirements:

• 4+ years of design experience

Experience Requirements:

• Experience working as an early designer at a startup

• Experience designing world-class software products

• Experience working in a startup environment and excited to wear lots of hats

• Entrepreneurial spirit and willingness to adjust to dynamic customer needs

Other Requirements:

• Comfortable with change and uncertainty

• Excited to work intensely with a driven team

Responsibilities:

• Deeply understand user personas and the market

• Rapidly iterate on design mocks and learn from feedback

• Navigate uncertainty and lead product iteration

• Own product design

• Create marketing assets

Benefits:

• 100% covered premium health + dental insurance

• company offsite trips

• work-from-home stipend

• 401k

Education Requirements:

• Masters in ML (or equivalent domain experience)

Experience Requirements:

• Extensive experience building complex machine learning systems and have driven execution from ideation to production implementation

• Strong product sense

Other Requirements:

• You can take a high-level goal and achieve a shippable solution. You are able to draw from a toolkit of methods, and know when to prompt engineer with black box LLMs and when to finetune a custom model

• A Masters in ML (or equivalent domain experience) and 4+ years of work experience building ML systems directly powering customer experiences, or equivalent ML experience

Responsibilities:

• Tackle our hardest ML product challenges at the crux of unlocking truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models alike to incorporating and maintaining them in existing and new ML systems.

• Help shape our technical MLOps stack to meet our ML and product needs.

• Write production ready code with speed, cost, and usability in mind.

• Stay close to the ground and hands on keyboard. No task is too small, whether it’s fixing unit tests or curating datasets.