- 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.
- 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.
- 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.
- 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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Senior Machine Learning Engineer - California, United States - Cubiq Recruitment
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:
Key Qualifications:
Requirements:
Benefits:
