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Sr. Machine Learning Engineer (Recommendation Systems)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Senior Machine Learning Engineer (Recommendation Systems)
Philo’s recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and viewing habits. We want users to be confident that Philo will have something they want to watch every time they open the app.
We are seeking a Senior Machine Learning Engineer to lead our content personalization efforts, shaping experiences that impact millions of users. In this role, you will research, design, and build advanced algorithms and large-scale systems that power Philo’s recommendation engine.
As a senior member of a growing team, you will tackle complex machine learning challenges and collaborate with data science, product, infrastructure, and backend engineering teams to deliver innovative, data-driven personalization solutions. Your work will directly impact content discovery, deepen user engagement, and drive long-term retention.
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.
Experience with Amazon SageMaker or similar MLOps platforms
More about Philo
At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.
We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs.
Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.
Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.
Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.
Join us at Philo and be part of a team that's shaping the future of TV!
Status: Full-timeLocation: San Francisco, CA or remote within the U.S.Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:
San Francisco, New York City: $175K - $235K
Boston, DC Metro, Los Angeles, Seattle: $165K - $225K
Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $215K
Texas, Florida: $150K - $205K
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
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!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Data Engineering Manager
Philo: a streaming service for TV and movie lovers
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo’s data pipeline processes nearly 8 trillion events per year into our petabyte scale data lake, where we run over 30k ETL and BI queries every day to bring data-driven insights to our team.
On the Data Engineering team, we’re looking for people who are comfortable working on complex data infrastructure challenges that support critical business functions across our streaming services. You’ll be working closely with other engineers, data scientists, analysts, and stakeholders to build and deploy scalable data solutions that power our entire service. In addition, you’ll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive.
We are passionate about building robust, scalable data infrastructure and providing high-quality data infrastructure for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more.
Some of the recent projects our Data Engineering team members have worked on include data warehouse cluster upgrades, per-query infra cost optimization, implementation of Apache Iceberg data storage, and evaluating alternative data warehouse technologies.
The Role
We're seeking an experienced Data Engineering Manager to join our team at Philo. Engineering Managers at Philo lead by example, and are expected to write code and demonstrate best practices while also providing coaching, technical leadership, and insights within and across teams. We expect an even split between hands-on technical work (designing, architecting, and implementing our long-term data platform strategy) and people management (coaching, mentoring, and developing a high-performing data engineering team). The ideal candidate is strongly opinionated about data stack architecture and how to enhance velocity across the entire Data Team at Philo.
Responsibilities:
Drive technical leadership to members of the Data Engineering team, including input on data pipeline design, performance optimization, and AWS cloud services, as well as coaching team members and mentoring new hires
Provide strong people management for the team, including regular 1:1 meetings, career development guidance, and general check-ins to support individual growth and team morale
Lead the design and implementation of Philo's data platform architecture
Set technical standards and best practices for data engineering work
Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions
Design scalable data pipelines and infrastructure
Manage team workload, priorities, and delivery timelines
Implement data governance, security, and quality control processes
Drive technical decisions with a focus on long-term sustainability
Key Qualifications:
10+ years of professional experience in data engineering, ideally with a few years working on high-volume data platforms
2+ years of experience managing data engineering teams in cloud-native environments
Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL
Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports.
Strong track record of designing and implementing data platforms
Excellent communication skills with technical and non-technical stakeholders, simplifying complex data concepts for various business audiences
Experience managing cloud-based data platforms (AWS/GCP/Azure)
Ideal Qualifications:
Experience in media/streaming industry with understanding of video delivery analytics and metrics
Knowledge of data modeling and dimensional design
Experience with data governance and compliance requirements
Background in implementing data quality frameworks
More about Philo
At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.
We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs.
Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.
Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.
Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.
Join us at Philo and be part of a team that's shaping the future of TV!
Status: Full-timeLocation: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S.Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:
San Francisco, New York City: $200K - $235K
Boston, DC Metro, Los Angeles, Seattle: $190K - $225K
Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $180K - $215K
Texas, Florida: $170K - $205K
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
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!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Head of Data
Philo: a streaming service for TV and movie lovers
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback.
Data at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo’s data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company.
On the Data team, we’re looking for people who are comfortable working on a variety of interesting engagement, content discoverability, experimentation, acquisition, and retention-related data projects across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack, as well as insights and modeling work that leverages the platform to deliver business value. In addition, you’ll work with stakeholders in other departments to understand our business needs, build highly reliable and accurate data pipelines that the company can trust, and deliver business-focused data insights to help the entire team thrive.
We are passionate about problem-solving and providing data-informed insights for the entire company, using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, Redshift, Snowflake, SageMaker, AWS Glue, Mode, Omni, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Building marketing mix models and multi-touch attribution models to optimize customer lifetime value and predict RoAS (Return on Ad Spend)
Modeling to determine which early product behaviors predict conversion
Running experiments to evaluate and improve our ML-based content recommendation/personalization system
Building data models for analysis of lifecycle marketing communications impact
Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics.
Data infrastructure engineering work including data warehouse cluster upgrades, per-query infra cost optimization, implementation of Apache Iceberg data storage, and evaluating alternative data warehouse technologies.
Ongoing analytics engineering work to reliably and accurately model complex billing and subscription data, enabling it to be easily queried for business insights.
Price sensitivity research and competitive market analyses
The role
Philo is seeking a Head of Data to lead and evolve our growing team of Data Scientists, Data Engineers, and Data Analysts – an effective, collaborative and empathetic leader who will help scale the team to meet our evolving data needs. This leader will work with stakeholders across the company to ensure that every department at Philo has the reliable and accurate data required to deliver the data-driven insights we need in order to achieve and exceed our goals as a company.
Responsibilities
Own all things data at Philo: ensure that stakeholders at Philo have access to the timely and accurate data driven insights that they need to do their jobs.
Oversee the core data science work executed in cross-functional teams to drive product goals, including product experiments and A/B tests, Growth & Acquisition modeling, and product insights, including customer journey analysis and measuring effectiveness of content search and recommendation systems.
Own the quality and performance of the data platform at Philo, including platform architecture and instrumentation, data collection/processing/validation, data governance, and security and compliance.
Ensure that we are collecting the right data and events, processing them in a scalable and modular way, and building a foundation of reliable data that teams across the company can build insights from.
Collaborate closely with the engineering team and AI/ML engineers to support the development and delivery of Philo’s content recommendation system.
Collaborate closely with data roles in our business and finance teams (business insights, business analysts and financial analysts) to help them build a deep understanding of the Philo business, customers, and content trends.
Manage the data team: train, mentor and coach members of the data team, direct their work and support their career growth; identify the roles we need as we grow and hire fantastic people to fill those roles.
Qualifications
15+ years of experience across analytics, data science, data engineering, or related data functions, with significant proven experience leading multidisciplinary data teams through ambiguity, in both a strategy and personnel management capacity. (Startup experience preferred.)
Strong skills as a hands-on data scientist who can lead by example, including demonstrated understanding of data architecture, statistical modeling in either Python or R (Python preferred), A/B/n experimentation practices, SQL, and experience independently developing data driven insights. Demonstrated ability to train and coach team members in these skills.
Strong written and verbal communication skills; you are a strong communicator who can explain complex trends, data findings and analytical methodology to broad audiences with varying technical backgrounds.
A deep understanding of business priorities and the ability to partner with both technical and non-technical stakeholders.
Experience working in a fast-paced, high-growth startup environment (or ability to adapt to this environment very quickly).
Experience in consumer subscription, streaming, media, ad-supported products, or other event-rich digital businesses is preferred.
Experience with Machine Learning and Deep Learning is a strong plus.
More about Philo
At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.
We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs.
Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.
Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.
Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.
Join us at Philo and be part of a team that's shaping the future of TV!
Status: Full-timeLocation: San Francisco, CA or remote within the U.S.Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:
San Francisco, New York City: $255K - $300K
Boston, DC Metro, Los Angeles, Seattle: $240K - $285K
Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $225K - $270K
Texas, Florida: $215K - $260K
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
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!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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