Philo · 3 months ago
Sr. Machine Learning Engineer (Recommendation Systems)
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$200K/yr - $237K/yr
8+ years expPhilo is a technology-driven company focused on enhancing the television experience through modern technology and machine learning. They are seeking a Senior Machine Learning Engineer to lead the development of their recommendation systems, impacting content discovery and user engagement for millions of users.
Digital MediaInformation TechnologyTV
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
Qualification
Required
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
Experience with Amazon SageMaker or similar MLOps platforms
Preferred
Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus
Benefits
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!
Company
Philo
Philo offers an entertainment-focused streaming service nationwide.
51-200 employees
H1B Sponsorship
Philo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (4)
2023 (1)
2022 (4)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$134.2MKey Investors
Republic capitalNational Education AssociationNew Enterprise Associates
2020-08-06Series D· $50M
2020-01-13Series C· $1M
2018-07-03Series C· $41.37M
Leadership Team
Andrew McCollum
CEO
Recent News
2025-12-09
Company data provided by crunchbase