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Philo
Sr. Machine Learning Engineer (Recommendation Systems)
Philo
San Francisco•Remote•Salary•8-11 Yrs•2 days ago
Job description
Remote
Overview
Senior Machine Learning Engineer (Recommendation Systems)
Responsibilities
- Lead development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization.
- Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas.
- Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment.
- Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement.
- Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models.
- Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback.
- ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs.
- Explore advanced architectures: Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus.
Qualifications
- 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus.
- Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow.
- Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions.
- Proven track record of leading projects and delivering impactful machine learning solutions.
- Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly.
- San Francisco, New York City: $175K - $270K
- Boston, DC Metro, Los Angeles, Seattle: $165K - $250K
- Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $240K
- Texas, Florida: $150K - $230K
- Full health, dental and vision coverage for you and your family
- 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
- Flexible working hours
- Up to 20 weeks of fully paid parental leave
- Unlimited paid time off for vacation and sick leave
- $2,000 annual vacation bonus (we pay you to take a two week vacation)
- $5,250 annually for professional development and educational assistance
- $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
- $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
- Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
- Dog-friendly office
- And much more!