Senior Back End Engineer; Hazel AI

Requirements

• Experience - 6+ years with some of them contributing towards building ML systems at scale, in a production setting. Have built and/or used
• Ranking or recommender systems
• Generative AI products
• Vector databases, search indices, or other data stores for search and retrieval use cases
• Education
  - Bachelors/Master's degree in Computer Science, Machine Learning, Data Science, or a related field
• Foundations - A deep understanding of data structures, algorithms, and sound software engineering principles
• Technical aptitude
  - You
• Have excellent problem solving skills
• Can break down a complex problem into simpler constituent parts
• Know when to take a first principles approach and when not to reinvent the wheel
• Intentional communication - intentional dialogue is a superpower. You listen as well as you share your perspective with others
• Resilience
  - We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along way
• Bonus Points
  - Familiarity with statistical and mathematical underpinnings of machine learning and large language models

• Customer focused
  - Demonstrate an eagerness to
• Deeply understand the industry, the opportunity and our users
• Interact with them and learn about their needs and frustrations
• Design and execution
  - Architect robust systems across data, model and product layers that bring our vision to life
• Build scalable data pipelines to store, sync and extract large amounts of information from unstructured and structured data
• Optimize our search and retrieval infrastructure to parse all relevant extracted information to produce grounded, accurate and low latency responses to user queries
• Collaborate with product managers and subject matter experts to build steerable AI systems
• Craft and maintain evaluation datasets, scoring modules and integrate them into our deployment pipeline to continuously monitor and improve the quality of our AI products
• Relentless
  - Proactively identify, unblock and mitigate risks that can minimize our chance of timely success
• Leadership
  - Act as a leader and steward of engineering best practices, mentoring other engineers towards maximizing impact
• Curiosity
  - Stay ahead of the curve with latest developments in machine learning, AI and how it can be leveraged to build industry leading products