Senior Machine Learning Engineer

Cubiq Recruitment • San Francisco Bay Area
Remote Relocation
This Job is No Longer Active This position is no longer accepting applications

Job Description

Job Title: Senior Machine Learning Engineer

Location: Bay Area, San Francisco (Hybrid or Remote within the US)


About:

A leading tech giant at the forefront of innovation, seamlessly integrating social media and ecommerce to create exceptional user experiences. The mission is to connect the world through cutting-edge platforms and services. We are expanding the team and looking for top-tier talent to join in shaping the future of technology.


Position Overview:

We are seeking experienced and highly skilled Senior Machine Learning Engineers, including those at Staff and Principal levels, to join a very highly skilled team. This team is dedicated to researching, developing, and implementing the latest advancements in recommender systems, search & ranking, relevance, and marketing strategies such as CTR optimization, Lifetime Value prediction, and user understanding.

There are five open positions available, providing a unique opportunity to collaborate with some of the brightest minds in the industry.


Responsibilities:

  • Be a hands-on contributor, able to contribute to research direction, as well as code.
  • Lead the design, development, and deployment of machine learning models to enhance recommender systems, search & ranking, and relevance.
  • Innovate and implement cutting-edge marketing strategies to optimize click-through rates (CTR), predict Lifetime Value, and deepen user understanding.
  • Conduct rigorous research to stay abreast of the latest advancements in machine learning and apply these findings to real-world applications.
  • Collaborate closely with cross-functional teams to align machine learning initiatives with business goals.
  • Mentor and guide junior engineers, fostering a culture of continuous learning and development.


Key Qualifications:

  • Extensive experience in designing, implementing, and deploying machine learning models and algorithms in a production environment.
  • Proficiency in machine learning and deep learning frameworks and libraries such as TensorFlow, PyTorch, or similar.
  • Strong programming skills in Python or another relevant language.
  • Deep understanding of recommender systems, search & ranking algorithms, and marketing analytics.
  • Excellent problem-solving abilities and a track record of delivering impactful solutions in a fast-paced environment.


Requirements:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field.
  • Demonstrated experience of working in high-performing machine learning teams that have created best-in-class solutions.
  • Strong communication and collaboration skills.
  • Ability to work on a hybrid basis from our Bay Area, San Francisco offices, or remotely from anywhere in the US for the right candidate.
  • Eligibility to work in the United States.


Benefits:

  • Market-leading salary and comprehensive benefits package, including generous equity in a company that continues to rise in value.
  • Opportunity to work with a diverse and talented team.
  • Flexible working arrangements to support work-life balance.
  • Continuous learning and professional development opportunities.
  • Relocation assistance for candidates moving to the Bay Area.

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