Machine Learning Engineer 5 - Content & Studio

Netflix; United States; On-site; USD 170,000 - 720,000; Full time

Job summary

An established industry player is seeking a skilled Machine Learning Engineer to shape the future of media and marketing. This role involves designing innovative algorithmic solutions to enhance engagement and attract new subscribers. The ideal candidate will have a strong foundation in machine learning and deep learning, with proficiency in Python and frameworks like PyTorch. Join a dynamic team dedicated to pioneering advancements in storytelling and marketing strategies, making a significant impact on how content is delivered to a global audience. If you are passionate about technology and eager to contribute to groundbreaking projects, this opportunity is perfect for you.

Qualifications

• Strong foundation in machine learning and deep learning.
• Ability to solve complex problems with innovative solutions.
• Collaborative spirit in fast-paced environments.

Responsibilities

• Design algorithmic solutions for marketing engagement.
• Collaborate with teams to define and execute roadmaps.
• Communicate complex concepts to diverse stakeholders.

Skills

Machine Learning

Deep Learning

Python

PyTorch

Algorithm Development

Education

MS or PhD in Computer Science

Electrical Engineering

Tools

ML/DL Frameworks

Computer Vision

Job description

Join to apply for the Machine Learning Engineer 5 - Content & Studio role at Netflix

Join to apply for the Machine Learning Engineer 5 - Content & Studio role at Netflix

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence – Artwork, Trailers, Synopses – that authentically represents each title and resonates with the member is essential to this effort.

Beyond connecting global stories with existing audiences, we also aim to reach new subscribers and increase engagement through innovative marketing campaigns. By crafting compelling and targeted marketing strategies, we strive to capture the attention of potential members and convert their interest into subscriptions. Additionally, we focus on increasing conversation and excitement about Netflix and our content, creating buzz and anticipation that encourages both current and prospective members to explore and engage with our diverse offerings.

Getting this evidence just right for each title is a tall order; however, the Promo Media Algo team, with assistance from creative supervision and member feedback data, have built tools & processes 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.

Our team is dedicated to pioneering the development of innovative tools and processes that leverage technologies like Computer Vision and Machine Learning. By integrating creative supervision and valuable member feedback, we create solutions that empower our stakeholders in Promo Media and Marketing. These advancements enhance storytelling capabilities and streamline workflows, enabling efficient scaling and making a significant impact on how we deliver compelling content to our global audience.

Join us to be part of a team that is shaping the future of media and marketing at Netflix. We are looking for a Machine Learning Engineer to contribute to our innovative efforts and drive impactful solutions.

Responsibilities

• Design and implement algorithmic solutions that enhance the ability of our Promo Media and Marketing stakeholders to engage members and attract new subscribers in a cost-effective way.
• Collaborate with cross-functional teams, including product managers, engineers, and data scientists, to define problem statements, define roadmaps, and execute on priorities.
• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions.
• Keep up-to-date with the latest advancements in the field by exploring new technologies, tools, and methodologies, and apply these insights to enhance Promo Media and Marketing workflows.
• Contribute to the growth of the team and domain by exploring new directions and initiating projects with high potential for a substantial additional impact.
• Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand in ML.
  
  

About You

• You have a strong foundation in machine learning and deep learning, including supervised and/or unsupervised learning, and deep learning.
• Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field.
• Suitable programming skills in Python and experience with ML/DL frameworks such as PyTorch.
• You have demonstrated the ability to solve complex problems with innovative algorithmic solutions in the media and content creation space. You are able to both develop novel algorithms and adapt existing methods from the literature to new challenges.
• You have an entrepreneurial spirit, the ability to balance risk against reward, and a strong desire to initiate and execute on projects that are likely to have a large impact. You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
• You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
• The 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 $170,000 - $720,000.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Entertainment Providers

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