• Build and grow various features of our search stack like search ranking models, query parsing/understanding, natural language question answering, etc.
• Deeply understand search usage and user needs and identify gaps in the search stack
• Design, experiment with, and iterate on ML/NLP/IR solutions to address gaps in the search stack
• Design and evolve experimentation framework to help evaluate improvements the search stack
• Write robust code that’s easy to read, maintain and test
• Mentor more junior engineers or learn from battle-tested ones

Who you are:

• BA/BS in computer science, or related degree
• 2+ years of experience
• Strong analytical skills and ability to work with data
• Experience working in fields like recommendation systems, natural language processing, applied machine learning, large scale production search/ranking system or other related systems

Key knowledge and skills:

• Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
• A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
• Proven ability to design and build complex search/ranking/recommendation or other related systems
• Strong coding skills (for example in Go/Python/Java/C++ etc)

Benefits:

• Competitive compensation
• Healthcare
• Flexible work environment
• 401k
• Unlimited PTO
• Transparent culture
• Learning and development opportunities
• Company events
• Free meals

For California based applicants:

The standard base salary range for this position is $120,000 - $210,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.