Senior Machine Learning Scientist, Recommendation and Search Systems

The Role:

We are seeking an experienced Senior Machine Learning Scientist specializing in Recommendation and Search Systems to drive innovation and enhance our search and recommendation models. In this role, you will work on cutting-edge machine learning algorithms, develop scalable search and recommendation architectures, and collaborate with cross-functional teams to deliver personalized and relevant experiences to our users.

Responsibilities:

• Architect, design, develop, and deploy the Machine Learning models that will serve real-time recommendations or search.
• Research and implement state-of-the-art machine learning techniques such as deep learning, reinforcement learning, and collaborative filtering for recommendations and search ranking.
• Be a leader in the Machine Learning community within CookUnity and work collaboratively across engineering and product teams.
• Develop search ranking algorithms, query understanding, and relevance models to improve search experience.
• Hands-on expertise with implementing end-to-end production ML systems at scale.
• Collaborate with engineering, product, and data science teams to integrate models into production environments.
• Act as an ambassador for AI within the organization, advocating for its adoption and showcasing its potential impact.

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
• 5+ years of industry experience in building and deploying recommendation and search systems at scale.
• Strong background in machine learning with experience and expertise in personalized machine learning algorithms, especially recommender and search systems.
• Practical real-world experience with building scalable recommendations and search.
• Knowledge of generative artificial intelligence applied to recommendation and search.
• Demonstrated ability to design and implement effective machine learning systems.
• Proficiency in programming languages such as Python, Kotlin or similar language.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
• Strong problem-solving skills and a clear understanding of algorithmic design.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Preferred requirements:

• Experience in the food technology sector is a plus.
• Experience working with Generative AI and its applications in personalization or search.
• Contributions to research or publications in areas such as graph-based modeling, recommendation systems, customer retention (e.g., churn prediction), or lifetime value estimation.
• Experience with Graph AI algorithms and network discovery techniques, including analyzing complex relationships and patterns within data networks.

• We offer you the flexibility to work where you work best!
• This team operates within the Eastern Standard time zone for collaboration.
  

Benefits:

🩺Health Insurance coverage.

⛱ Unlimited PTO policy.

📈 We grow, you grow: Stock Options Plan granted on Day 1.

🌅 401k Plan.

🐣 Paid family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises.

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.

🧘🏽‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle.

👩🏾‍🏫 Personalized Spanish coach.

🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical.

#LI-Hybrid

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!