Senior Software Engineer, AI Retrieval

Навыки

• Elasticsearch
• LLM
• Machine Learning
• RAG
• Windows

О компании и продукте

• 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.

Задачи

• Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient
• Improve the quality and relevance of search results to help users find exactly what they need
• Expand the retrieval system's capabilities to query new Asana objects and third-party data sources
• Build and optimize search infrastructure using OpenSearch/ElasticSearch
• Contribute to ML-powered features like embeddings-based retrieval and semantic search
• Collaborate with cross-functional partners in New York City while building strong relationships with your Warsaw-based peers

Требования

• 6+ years of experience writing code in a production environment
• Curiosity about how AI and technology can solve problems and a desire to use it regularly in your work
• Hands-on experience in search engineering, including with OpenSearch or ElasticSearch
• Experience with embeddings and machine learning approaches to search and retrieval
• Experience in an Applied AI role is a plus
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
• We know that the best ideas and solutions come from multi-dimensional teams
• That's because these teams reflect a variety of backgrounds and professional experiences
• If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today

Условия

• Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission
• We believe that compensation should be reflective of the value you create relative to the market value of your role
• To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit
• For this role, the estimated base salary range is between $202,000 - $223,000
• The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process
• The listed range above is a guideline, and the base salary range for this role may be modified
• In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits
• If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role
• We strive to provide equitable and competitive benefits packages that support our employees worldwide and include
• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences
• These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations

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