Product engineer - machine learning

Role: Machine Learning Product Engineer

Location: San Jose, CA

Responsibilities

• Understand current quality problems and how it impacts various user groups, define success metrics, and prioritize solutions based on user needs, internal as well as external factors.
• Work with xFN stakeholders (Policy, Legal, Operations, Engineering, Trust and Safety, human moderators, Data Science) across timezones, teams and org charts. Drive solutions to improve client feed quality, drive creator and user satisfaction, and mitigate brand risk
• Be a strong voice for diverse user groups, including stakeholders who may not be using client(eg : parents of some minors)
• Keep a keen eye on State of the art ML improvements, and think of how that can help our users.
• We strive to provide users with a high quality bar across our product. We expect you to take initiative to drive quality improvements across different teams, even when you are not directly responsible for their features.
• Keep an eye on current market trends, public perception, and external regulatory environments across different markets, and stay ahead of the curve. We intend to push boundaries by delivering industry leading experiences.
• Have the ability and experience to deliver a product end to end in an extremely fast moving environment. We expect you to set up processes ensuring that you can deliver on time.
• Have humility and a willingness to learn. This is a very fast moving industry, and the type of work you do changes significantly over short periods of time. You should have the mentality to constantly learn new things and improve
  
  

Qualifications

• 3+ years of experience working on large feed products, especially in improving feed quality
• 5+ years experience in Product management.
• Prior experience with AI/ML is a must
• Ability to deep dive into technical details of ML systems with engineers, and metrics with the Data Science team
• Exposure to AI model Monolith
• Combination of deep learning and real-time data processing
• Collissionless embeddings - ability to adapt to changes in user preferences and behavior in real-time
• Prior experience with ranking and recommendation / personalization for large feeds.
• Experience in leading / managing a team of Product managers
• Experience dealing with multi-sided market place.
• Ability to deliver improvements requiring collaboration across multiple stakeholders in different timezones. Building trusted relationships is important. You should set up processes to ensure that things move on time, and there are no communication gaps.
• Experience dealing with trade offs between quality, diversity and other topline metrics
  
  

Please also refer below questions and discuss with candidates before submitting

• What's your experience with personalization, ranking, and recommendations?
• What's your experience with real time large data sets?
• What's your experience with segmentation and user safety?
• What are your recommendations as a Sr. Product Manager to ensure users stay on Social Media video streaming feed?
  
  

"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at View email address on jobs.institutedata.com ."