1,920 jobs for "Machine Learning Engineer"

Machine Learning Engineer 5 (Senior Manager, IC)

At Capital One - New York · San Francisco

Posted on Oct 30

View job Apply on company site

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer Project Intern (Recommendation) - 2027 Start

At TikTok

Posted on Oct 29

View job Apply on company site

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple - Zürich

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer Intern (E-Commerce Governance)- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

View job Apply on company site

Machine Learning Engineer 4

At Capital One - McLean · Wilmington

Posted on Oct 29

View job Apply on company site

Machine Learning Engineer Intern (E-Commerce Recommendation Video)- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

View job Apply on company site

Machine Learning Engineer 4 - Machine Learning Foundations (MLX)

At Capital One - San Jose · Richmond

Posted on Oct 25

View job Apply on company site

Senior Software Engineer, Machine Learning & AI

At Apple

Posted on Oct 19

View job Apply on company site

Senior Machine Learning Operations Engineer

At CarGurus - Boston

Posted on Aug 19

View job Apply on company site

Artificial Intelligence / Machine Learning Engineer - Associate

At iCapital - New York

Posted on Nov 6

View job Apply on company site

Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

At Apple

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer 4 - Machine Learning Experiences (MLX)

At Capital One - San Jose · Richmond

Posted on Oct 25

View job Apply on company site

Machine Learning Engineer Intern (E-Commerce Recommendation Mall)- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

View job Apply on company site

Machine Learning Engineer 4

At Capital One - New York · McLean

Posted on Oct 22

View job Apply on company site

Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

At Apple - Zürich

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer Intern (E-Commerce Recommendation Live)- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

View job Apply on company site

Senior Manager, Machine Learning Engineer (People Leader)

At Capital One - New York · Plano

Posted on Oct 21

View job Apply on company site

Machine Learning Engineer, Software QA - Creativity Apps

At Apple - Vancouver

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer Intern (E-Commerce Knowledge Graph)- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

View job Apply on company site

Apple

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

ZürichPosted 20 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

As part of Siri Attention and Invocation, we collaborate to deliver the next revolution in human-computer interaction, to inspire and create groundbreaking technology for large-scale systems spanning speech, vision, and generative AI to overcome real-world challenges through innovation and user-centered design that improves the daily experience of millions of our customers.

Description
We are seeking an exceptional Staff Machine Learning Engineer to lead the development of audio and video generation capabilities. In this role, you will drive the technical vision for generating realistic, expressive synthetic speech and visual representations, mentor senior and junior engineers, and shape the roadmap for multimodal generative experiences across our products.","responsibilities":"Design and implement end-to-end systems for generating synthetic audio (speech, acoustics, sound) and/or video for agents interaction
Lead complex generative AI projects from research prototype through large-scale production deployment
Establish best practices for model evaluation, perceptual quality assessment, and monitoring of generative outputs
Drive technical decisions and architecture for multimodal (audio/video) generation systems, balancing quality, latency, and scalability
Identify high-impact opportunities where advances in generative modeling can meaningfully improve agents experiences
Collaborate closely with research, product, design, and infrastructure teams to translate cutting-edge techniques into shipped features
Mentor and provide technical guidance to engineers across the team, raising the bar for ML engineering practices
Stay current with emerging techniques in generative modeling (e.g., diffusion, autoregressive, end-to-end architectures) and evaluate their applicability to our systems

Preferred Qualifications
Proven experience building and shipping machine learning systems in production, with significant focus on generative modeling
Excellent collaboration and communication skills, with a track record of working across research, engineering, and product teams
Strong software engineering skills, with experience designing scalable ML systems and pipelines (e.g., Python, PyTorch/TensorFlow, distributed training infrastructure)
Experience with speech synthesis (TTS), voice conversion, audio acoustics/background modeling, or conversational AI systems
Experience with generative video/animation techniques (e.g., facial animation, lip-sync, avatar rendering, video diffusion)
Publications in generative modeling, speech, audio, or computer vision at top-tier venues (e.g., NeurIPS, ICML, ICASSP, CVPR, Interspeech)
Experience deploying real-time or low-latency generative models at scale
Familiarity with multimodal modeling (joint audio-visual generation, cross-modal conditioning)
Prior experience mentoring engineers or leading technical direction for a team

Minimum Qualifications
Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience
Deep hands-on experience with generative audio and/or video architectures (e.g., diffusion models, autoregressive models, GANs, VAEs, end-to-end neural synthesis)
Demonstrated ability to lead complex, ambiguous projects from research through production, and to make sound technical tradeoffs under real-world constraints (quality, latency, compute)
Experience evaluating generative model outputs, including both objective metrics and perceptual/subjective quality assessment

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile