IT-вакансии — свежий каталог

Должность, навык или компания

Роль

Формат

Город

Страна

Все фильтры3

Грейд

Страна

Навык (код: python, go, sql)

Сортировка

Только с указанной зарплатойСкрыть долго открытые

Зарплата

264 000 — 300 000 USD в год

Вилка работодателя

Видели 31 день назадИсточник откроется на сайте работодателя

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG comprehensiveness across the work graph
Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are made with data, not vibes
Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval improvements compound into cheaper, faster downstream LLM calls

8+ years of software engineering experience with 3+ years managing engineers, including senior engineers, on infrastructure or ML systems teams
You've hired, coached, grown, and when necessary exited engineers and your former reports would work for you again
You have shipped and operated production search, retrieval, or ML-serving systems at meaningful scale

Вакансии