Location: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.Compensation: The annual salary range for this position is $150,000–$260,000based on levelin addition to equity & benefits.The range displayed on this job posting reflects the minimum and maximum compensation. Factors including location, level, job-related knowledge, skills, and experience will determine compensation.Join Gem and Transform Recruiting with AIAt Gem, we're revolutionizing the recruiting industry with AI-first solutions that help companies find the right talent faster. We're looking for an Applied AI Engineer who's passionate about building practical, impactful AI features while also contributing to our full product stack. This is a chance to apply cutting-edge AI technologies to solve real business problems at a company that thousands of recruiters rely on every day.About GemGem is the only AI-first all-in-one recruiting platform. Over 1000 industry leaders including Anthropic, Reddit, Figma, Zillow, Robinhood, and Doordash trust Gem to fuel their growth and recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.Just as we strive to help our customers find great talent, we also invest in our own people and culture. We are proud of the culture we’ve built and have recently been recognized as:As an AI Product Engineer at Gem, you'll build AI features that directly impact how companies find and hire talent. You'll work on challenges like:Creating intelligent search and matching systems that surface the perfect candidates from massive talent poolsBuilding AI products that help recruiters create engaging messages and identify promising candidatesImplementing systems that automatically extract insights from candidate profilesDesigning delightful experiences that make AI accessible and valuable to recruiting teamsYou'll own these features end-to-end, from conceptualization and prototype to production deployment and iteration.What You'll DoBuild products powered by LLMs: Design and implement features that integrate AI capabilities into our product, working across the entire stack from backend to frontendDevelop and optimize intelligent search: Create advanced algorithms for query understanding, result ranking, and candidate recommendationsShip rapidly and iterate quickly: Take new AI features from concept to production, gathering user feedback and continuously improvingMentor team members: Share AI expertise with colleagues and help establish best practices (depending on experience level)Work from our San Francisco office: Collaborate in-person with product managers, designers, and other engineers to create cohesive user experiencesAbout YouYou have experience applying AI/ML in production environments, especially with LLMsYou have hands-on experience with search systems and understand how to optimize relevance and rankingYou have knowledge of vector databases and embedding models for AI applicationsYou're familiar with RAG architectures (Retrieval-Augmented Generation) and their implementationYou're pragmatic about AI implementation, finding the right balance between cutting-edge techniques and practical solutionsYou're excited about iterative development and continuously improving based on user feedbackYou are energized by collaborating in-office with your peers.Bonus Points ForPrompt and context engineering skills and experience with LLM fine-tuningCross-stack technical versatility with Python, Node, TypeScript, React, and ElasticsearchBackground in information retrieval, NLP, or recommendation systemsFeedback loop implementation for improving search qualityEnd-to-end product development experience collaborating with product and design teamsClear communication skills to explain complex AI concepts to non-technical stakeholdersVelocity-focused approach with strong ownership from start to finishCollaborative mindset and enjoyment working closely with teammatesHighly competitive salary & equity10-year window to exercise your stock optionsSupportive Flexible Time Off program16 paid holidays, including regular company-wide wellness days$1,200 annual stipend for learning and development opportunities16 weeks of Paid Parental Leave for birthing and non-birthing parentsNew Parent Perks totaling $1,500 and flexibility upon return to workGem is an equal opportunity employer. We celebrate our inclusive work environment and encourage folks of all backgrounds and perspectives to apply. At Gem, we’re committed to having an inclusive and transparent environment where every voice is heard and acknowledged. We embrace our differences, and know that our diverse team is a strength that drives our success.Gem is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please email us at accommodations@gem.com and we’ll work with you to meet your accessibility needs.Gem’s Candidate Privacy NoticeBy clicking “Submit Application”, you acknowledge and agree that you have read and understand Gem’s Candidate Privacy Statement , including the information provided on how Gem processes your personal data and your related rights as set forth therein.#LI-CM1Ready to apply?Powered byFirst name *Last name *Email *LinkedIn URL *Phone number *Location *Resume * Click to upload or drag and drop hereDo you have at least 1 year of full-time industry experience applying AI/ML in production environments (beyond academic or internship work)? If yes, please briefly describe one project and the specific role you played in bringing it to production. * #J-18808-Ljbffr