Senior Machine Learning Scientist, Recommendation and Search Systems

Posted 2 Days Ago
Be an Early Applicant
New York, NY
150K-200K Annually
Senior level
Food
The Role
Lead the development of machine learning models for recommendations and search systems, collaborating with cross-functional teams and advocating for AI integration.
Summary Generated by Built In
About CookUnity

Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

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.

Nice To Have:

  • 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.

Where You'll Be:

  • 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

CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.

Pay Range for this position

$150,000$200,000 USD


If you’re interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Top Skills

AWS
Azure
GCP
Kotlin
Python
PyTorch
Scikit-Learn
TensorFlow
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The Company
HQ: Brooklyn, NY
227 Employees
On-site Workplace
Year Founded: 2015

What We Do

CookUnity is the first Chef-Direct Subscription service—a chef-to-food lover marketplace connecting the country's most talented chefs with eaters (consumers). We’re changing meal delivery by bringing small-batch, restaurant-quality meals to eaters across the country. Every week, a diverse collective of all-star chefs craft their signature, ready-to-eat dishes for an elevated at-home dining experience.

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