Senior Engineering Lead - REMOTE
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager (Remote). This role offers an exciting opportunity to lead an innovative team focused on developing cutting-edge AI systems that enhance member experiences. By leveraging advanced technology and creative solutions, you will directly impact how millions of users discover and enjoy stories tailored to their preferences. Join a dynamic environment where you can help shape the future of personalized content delivery and take the lead in building high-performing teams committed to excellence.
Accountabilities
• Lead a senior applied science and ML engineering team focused on foundational personalization capabilities.
• Set the vision and roadmap for shared reward models and entity/metadata libraries.
• Prioritize investments that create leverage across recommendations, search, and messaging.
• Design and evolve APIs and integration patterns for shared components.
• Extend reward models to new content types and surfaces.
• Implement and optimize utility modeling layers for balancing engagement.
• Collaborate with product and ML platform teams to ensure alignment and integration.
• Build and develop a diverse, high-caliber team of ML engineers.
Requirements
• Experience leading applied ML or ML engineering teams for large-scale personalization.
• Strong background in applied ML, recommender systems, and optimization strategies.
• Proven record of driving horizontal ML projects measured by team adoption.
• Ability to design and deliver APIs and reusable components effectively.
• Strong communication skills to align with senior partners across various teams.
• Experience building diverse and high-performing technical teams.
Benefits
• Comprehensive health plans and mental health support.
• 401(k) retirement plan with employer match.
• Flexible salary options including stock options.
• Paid leave for vacations, holidays, and sick time.
• Immediate entitlement to flexible time off for salaried employees.
• Family-forming benefits and life insurance options.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now
Accountabilities
• Lead a senior applied science and ML engineering team focused on foundational personalization capabilities.
• Set the vision and roadmap for shared reward models and entity/metadata libraries.
• Prioritize investments that create leverage across recommendations, search, and messaging.
• Design and evolve APIs and integration patterns for shared components.
• Extend reward models to new content types and surfaces.
• Implement and optimize utility modeling layers for balancing engagement.
• Collaborate with product and ML platform teams to ensure alignment and integration.
• Build and develop a diverse, high-caliber team of ML engineers.
Requirements
• Experience leading applied ML or ML engineering teams for large-scale personalization.
• Strong background in applied ML, recommender systems, and optimization strategies.
• Proven record of driving horizontal ML projects measured by team adoption.
• Ability to design and deliver APIs and reusable components effectively.
• Strong communication skills to align with senior partners across various teams.
• Experience building diverse and high-performing technical teams.
Benefits
• Comprehensive health plans and mental health support.
• 401(k) retirement plan with employer match.
• Flexible salary options including stock options.
• Paid leave for vacations, holidays, and sick time.
• Immediate entitlement to flexible time off for salaried employees.
• Family-forming benefits and life insurance options.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now