Remote Jobs at Tubi

- 10+ years of industry experience in Machine Learning - MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field - Expertise in deep learning technologies for recommendation systems, including experience with TensorFlow, PyTorch, or similar frameworks - Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment - Solid understanding of statistical c…

Candidates should possess 8+ years of industry experience building production Machine Learning systems, along with an MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. They should also have experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks, and proficiency in building and deploying full-stack machine learning pipelines.

- 5+ years of professional experience as a fullstack, frontend, or backend engineer in a product-focused environment - Strong experience with React or Vue - Experienced with the latest web standards and CSS animations - Comfortable working with APIs, relational databases, and Docker - A product mindset—you care about the why behind what you’re building and optimizing for user impact - Ability to work collaboratively across functions and communicate clearly with both technical and non-technical s…

- 6-8 years experience in product management, with a strong background in AI/ML-driven personalization and content discovery - Proven track record of leading cross-functional teams in a fast-paced, data-driven environment - Strong expertise in product experimentation, including A/B testing and iterative development, with the ability to break down a big picture vision into testable hypotheses - Experience with large-scale data systems and familiarity with LLMs and foundational models - Excellent …

- 8+ years of professional experience as a backend engineer in a product-focused environment - Experience with productizing AI and LLMs with a track record of using AI and LLMs in production - Deep expertise in Kotlin, Java, or Scala - Significant experience with distributed systems, building and maintaining scalable, resilient services - Experience with event-driven architectures (e.g., Kafka) and asynchronous communication principles - Good experience with relational databases, such as Postgre…

- BSc/MSc in Computer Science or related field - 4+ years of industry experience, at least 3 of which are in a data engineering (or data-centric software engineering) role - Track record of building and operating scalable, flexible, and always-on data pipelines - A desire and ability to truly understand and serve the business problems and use-cases you will be working with - Fluent in data manipulation and SQL - Strong knowledge of Spark, Python (libraries like pandas and polars, helpful) - Stro…

- BSc/MSc in Computer Science or related field - 7+ years of industry experience, at least 5 of which are in a data engineering (or data-centric software engineering) role - Track record of building and operating scalable, flexible, and always-on data pipelines - A desire and ability to truly understand and serve the business problems and use-cases you will be working with - Fluent in data manipulation and SQL - Strong knowledge of Spark, Python (libraries like pandas and polars, helpful) - Stro…

Candidates should possess a BSc/MSc in Computer Science or a related field, with 4+ years of industry experience, including at least 3 years in a data engineering or data-centric software engineering role. A proven track record of building and operating scalable, flexible, and always-on data pipelines is essential, along with fluency in data manipulation and SQL. Strong knowledge of Spark, Python (including libraries like pandas and polars), and Databricks (SQL Warehouses, Jobs Clusters, and Ser…

- 6+ years of experience in the creator economy, digital media, streaming, or content partnerships - At least 3 years of directly relevant experience in the creator economy - Experience in creator acquisition and/or creator partner management - Deep empathy for creators and a keen understanding of their needs, challenges, and business models - Deep understanding of creator economy trends, video monetization, and community engagement strategies - Exceptional communication and relationship-buildin…

- 12+ years of engineering experience, including 5+ years at the senior engineering leadership level - Ability to perform the job of most individual contributors on the team (hands-on leader) - Proven success scaling high-performance infrastructure and/or data systems at tech-forward companies - Hands-on familiarity with AWS, K8s, and Databricks - Proven track record and passion for moving fast and building successful products from scratch - Passion for building, mentoring, and leading engineeri…

- 6+ Years experience with IaC using a Cloud Provider (AWS) - 3+ Years experience with production Kubernetes Clusters - 3+ Years of experience in developing tooling and applying software engineering best practices with any coding language (Python, GoLang, JavaScript, Ruby) - 3+ Years experience with Linux/UNIX - 3+ Years experience maintaining CI/CD pipelines - 3+ Years experience working with and supporting external application developers

- Deep expertise in Infrastructure as Code (IaC), particularly Terraform for designing, implementing, and managing cloud network infrastructure - Expertise in Kubernetes networking, including CNI plugins, service meshes (e.g., Istio), and ingress/egress controllers (e.g., NGINX controller) - Advanced knowledge of AWS networking components, such as Transit Gateways, VPC Endpoints, Network Firewalls, load balancing, routing, peering, VPNs, and Direct Connect - Proficiency in traffic engineering an…

Candidates should have 8+ years of industry experience building production Machine Learning systems, and an MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. Experience with deep learning technologies like TensorFlow or PyTorch for recommendation systems is required, along with proficiency in building and deploying full-stack ML pipelines. A solid understanding of statistical concepts and the ability to analyze ML system architecture are also necess…

- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience - 5+ years of professional experience in a Site Reliability Engineering, DevOps, or Software Engineering role with a focus on infrastructure and operations - Strong programming proficiency in one or more high-level languages such as Rust, Go, Python, or Typescript. Comfortable writing, testing, and deploying production-grade code - Deep knowledge of AWS services (especially networking, IAM, EKS…

- Experienced and visionary leader in Site Reliability Engineering - Ability to lead, mentor, and grow a team of Site Reliability Engineers, including senior and emerging talent - Expertise in fostering a culture of innovation, technical excellence, blameless learning, and continuous improvement - Strong strategic planning skills to define and drive multi-year technical strategy and vision for observability and automation platforms - Proficiency in data-driven decision-making, using Service Leve…