Taro Logo

ML Engineer, Recommendations

A stealth startup at the intersection of video AI and social media, backed by solid financial backing.
$165,000 - $400,000
Machine Learning
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Consumer
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For ML Engineer, Recommendations

Join a stealth startup at the intersection of video AI and social media, backed by experienced serial entrepreneurs and solid financial backing. As an ML Engineer focusing on Recommendation Systems and Generative AI, you'll be at the forefront of developing cutting-edge algorithms that power personalized experiences and content creation. The role involves designing and optimizing recommendation engines, building state-of-the-art generative models for video content, and collaborating with cross-functional teams to drive innovation.

You'll work in San Francisco in an onsite capacity, contributing to a world-class team that's pushing the boundaries of video AI technology. The position offers competitive compensation ranging from $165,000 to $400,000, plus equity, comprehensive benefits, and strong visa support. Your responsibilities will span from developing sophisticated recommendation systems to implementing generative AI solutions that transform user engagement with video content.

The ideal candidate brings strong technical expertise in machine learning, particularly in recommendation systems and generative models, along with proficiency in programming languages like Python and Java. You'll need experience with AI/ML frameworks, data processing tools, and cloud platforms. The role offers an exciting opportunity to shape the future of video content discovery and creation while working with cutting-edge AI technologies.

Benefits include top-tier health coverage, 401(k) matching, parental leave, commuter benefits, unlimited vacation, and daily office lunches. The company provides full immigration support, including day 1 green card sponsorship, demonstrating their commitment to building a diverse, world-class team. This is an excellent opportunity for someone passionate about AI and social media to make a significant impact in a well-funded startup environment.

Last updated a month ago

Responsibilities For ML Engineer, Recommendations

  • Design, develop, and optimize recommendation engines leveraging generative AI
  • Build and fine-tune state-of-the-art generative models for video content generation
  • Collaborate with data scientists, product managers, and engineering teams
  • Analyze and preprocess large-scale data to improve model accuracy
  • Conduct experimentation to validate recommendation strategies
  • Integrate recommendation systems with generative AI pipelines
  • Stay current with AI, machine learning, and recommendation technologies
  • Troubleshoot and improve performance of existing recommendation systems

Requirements For ML Engineer, Recommendations

Python
Java
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Experience in developing recommendation systems using AI/ML frameworks
  • Deep understanding of machine learning techniques for personalization
  • Expertise in generative models (Diffusion Models, GANs, VAEs)
  • Proficiency in Python, Java, or C++
  • Experience with data processing libraries (Pandas, NumPy, OpenCV)
  • Familiarity with cloud platforms (AWS, Google Cloud)
  • Strong analytical and problem-solving skills

Benefits For ML Engineer, Recommendations

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Commuter Benefits
Visa Sponsorship
  • Top health, dental, vision benefits paid by the company
  • 401(k) with 5% matching
  • Paid parental leave
  • Commuter benefits with free Caltrain pass
  • Unlimited vacation
  • Life insurance and disability insurance
  • Cell phone service reimbursement
  • Free daily office lunch
  • Full support for visa sponsorship and day 1 green card sponsorship

Interested in this job?