Machine Learning Intern Fall jobs at Netflix

You will excel if you are comfortable with the ambiguity that comes with innovation, can deliver scalable technical solutions, remove technical debts, think strategically, make decisions for long term effectiveness and are curious.

• Drive new technical solutions across teams, in a multi-disciplinary manner from requirements to applications deployment

• Actively work with product managers and our design team to scope and shape product decisions.

• Revamp and update existing web applications with new paved path solution

• Focus on streamlining user experience with simplicity

• Enhance and maintain existing applications to meet the needs of our partners and internal stakeholders

• Operate in a cross-functional dynamic environment where you will collaborate and learn from stunning colleagues with different roles and expertise to achieve common goal to bring #NetflixEverywhere

• Proven experience in a software development role

• Strong full-stack development skills with strength in front-end UI work:

  • Deep experience with React & GraphQL

  • Strong skills in HTML/CSS

  • Knowledge of testing frameworks and tools

  • Strong programming skills in JavasScript/Typescript. Experience with Java & Node.js.

  • Experience with at least several UI frameworks

• Ability to innovate through iteration; using prototypes and experiments to navigate solution ambiguity and passionate about data insight

• Proven ability to operate and troubleshoot complex systems crafted with microservice architecture

• Experience maintaining and improving legacy systems. Can evaluate and speak to tradeoffs concerning refactor vs rebuild vs buy.

• Ability to learn and use in-house software framework/components/service to build solutions effectively

• Outstanding communicators who are curious, flexible, and selfless

Job is open for no less than 7 days and will be removed when the position is filled.

Job Summary:

What You’ll Do:

• Follow a brief to produce complex production ready rigs of a high standard

• Work with the Modeling Department to ensure that models are suitable for rigging and performance requirements.

• Work with Animators to develop and prototype rigs for a broad range of creative and technical requirements.

• Support rigs as they move through the animation pipeline and developing supplementary Animation tools and processes.

• A good artistic eye, and the necessary software dexterity to produce, or correct shapes and models when it might tighten the feedback loop with another department.

What You’ll Need:

• 3+ years’ experience in feature animation, VFX, and/or animated television with a focus in Rigging

• Proficiency with Maya, and a strongly node-oriented approach to problems.

• Proficiency with Python and the ability to navigate a large managed code base, or willingness to learn in a fast-paced technical environment.

• Ability to troubleshoot and manage communication during the support phase of published rigs, as they move through shots and departments.

• Ability to comfortably work to specs as precisely or as creatively as a brief outline.

• Eagerness to learn and share with your peers, in a development and learning oriented professional environment.

The following will be highly regarded, but is not required:

• Foundational knowledge of trigonometry and linear algebra.

• Experience with character related simulation (soft tissues and localized secondary).

• Experience with cloth simulation.

• Experience with C++

In this role, you will:

• Own and innovate on our suite of foundational lifecycle models, such as lifetime value and other churn models.

• Have end-to-end ownership of ML model development lifecycle, from feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement.

• Closely work with Data Science and Product stakeholders to develop a roadmap that meets the needs of changing business priorities.

• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions.

• Advocate for and apply best practices around developing and deploying data-driven applications

• Live Netflix values in daily work and interactions

What you’ll bring:

• Deep experience developing and deploying Machine Learning models with a successful track record of and passion for delivering business impact.

• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners

• Ability to deal with ambiguity; a strong ownership mindset, and a desire to thrive on minimal oversight and process

• You have deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.

• You have strong coding experience in Python, and expertise in ML frameworks (e.g., scikit-learn, Keras, PyTorch, TensorFlow)

• You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, Statistics, Computational Social Science, or a related technical field with a focus on machine learning, artificial intelligence, and predictive modeling.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Tags: ResearchSite

Job is open for no less than 7 days and will be removed when the position is filled.

• On and innovate on a suite of demand forecasting models that help inform our licensed content acquisition strategy.

• Be a thought partner with our content strategy teams as we continue to evolve our approach to licensing valuations

• Partner closely with our Analytics Engineering teams as they help to leverage these models on the ground both in the US and globally.

• Have end-to-end ownership of ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement.

• Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops and ML Platform teams.

• Livewhile bringing a new perspective to continue improving our culture.

• An ability to navigate ambiguous problem spaces and a passion for translating them into practical technical solutions, along with a track-record of delivering business solutions leveraging Machine Learning.

• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners with a differing technical backgrounds

• Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.

• A passion for scaling your ML solutions in collaboration with your team - you seek to build modularly, for resilience, and in ways where others can take on your code when you’re away.

• Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)

• An advanced degree (MS or PhD) in Computer Science, Economics, OR, Statistics, or a related technical field with a focus on machine learning and predictive modeling.

• 4+ years of relevant experience in one or more machine learning roles

$150,000 - $750,000

Job is open for no less than 7 days and will be removed when the position is filled.

that use technologies like Computer Vision, and Machine Learning to enable our creators to tell the best version of the story they want while allowing our studio to scale further.

Responsibilities:

• Architect and implement robust ML pipelines and reusable frameworks across the full ML lifecycle in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems, personally developing critical components while providing technical leadership and mentorship to team members implementing other parts of the system

• Collaborate cross-functionally with ML scientists, product managers, and engineers to define and prioritize system requirements

• Partner with our ML platform team to translate technical needs into infrastructure requirements, advocating for platform capabilities that enhance reliability, boost team productivity, and support our long-term vision for innovation at scale

• Optimize systems and workflows for latency, throughput, and reliability across both batch processing workflows and real-time services to meet SLA requirements

• Strategically identify and address technical debt to improve development velocity, while implementing tools and processes that enhance team productivity and code quality

About you:

• 5+ years of proven experience in software engineering for ML projects and products, with strong proficiency in Python

• BSc in Computer Science, Electrical Engineering, or a related technical field.

• Familiarity with ML libraries such as PyTorch, experience with ML/CV/GenAI pipelines, and knowledge of distributed data processing systems.

• Experience with ML workflow orchestration tools like Metaflow, Airflow, or similar pipeline management systems

• Proficient in cloud infrastructure, including S3, Docker containers.

• Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.

• Demonstrated ability to effectively communicate technical requirements and influence infrastructure decisions across team boundaries

• Track record of mentoring engineers on ML engineering best practices while balancing technical debt reduction with feature delivery

• Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.

• You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.

• The Netflixresonates with you.

Bonus Experience:

• Experience with GPU training and inference optimization, performance tuning, and debugging

• Experience building end-to-end multimedia systems and computer vision algorithms.

• Familiarity with generative models and tools, such as diffusion-based models

$150,000 - $750,000

Job is open for no less than 7 days and will be removed when the position is filled.

Responsibilities

• Design and develop systems and solutions for developing algorithm tooling prototypes and enabling in-depth algorithm evaluation

• Propose, promote and facilitate paved paths for integration and productization of algorithms, laying foundations for feedback loops and data flywheels

• Identify and execute on opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies and expanding algorithm distributions

• Contribute to algorithm projects end-to-end across different domains

• Cultivate strong relationships with cross-functional partners

• Evangelize best practices on algorithm full stack engineering

About you

• Proven track record of delivering high-impact algorithm-driven software systems and solutions

• High proficiency in full stack engineering, including frontend, backend, distributed systems, and cloud infrastructure

• Familiarity with algorithms and pipelines for processing large-scale media assets. Bonus: familiarity with common ML and DL frameworks such as PyTorch

• Excellent communication and collaboration skills

• Passion for bridging algorithms with tooling and workflows

• Exceptional communication and collaboration skills

• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

• Netflix culture resonates with you

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.

Job is open for no less than 7 days and will be removed when the position is filled.