338 jobs for "Machine Learning Evaluation Engineer"

Research Engineer, Agentic Video Editing - TikTok

At TikTok - San Jose

Posted on Nov 6

View job Apply on company site

Data Scientist SME

At Leidos - Alexandria

Posted on Oct 16

View job Apply on company site

Data Scientist - Retail Banking (ML & Predictive Modeling)

At PNC Financial Services Group - Pittsburgh

Posted on Oct 31

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

Applied Researcher 5

At Capital One - San Jose · San Francisco

Posted on Nov 6

View job Apply on company site

Senior Director AI, Chief Revenue Organization

At Equinix - Remote / Flexible

Posted on Oct 21

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

Data Scientist SME

At Leidos - Chantilly

Posted on Oct 16

View job Apply on company site

Applied Researcher 4

At Capital One - San Jose · San Francisco

Posted on Nov 6

View job Apply on company site

Senior Director AI, Chief Revenue Organization

At Equinix - Remote / Flexible

Posted on Oct 21

View job Apply on company site

Internship - Machine Learning (Foundation Models)

At Apple - Zürich

Posted on Oct 19

View job Apply on company site

Data Scientist SME

At Leidos - Gaithersburg

Posted on Oct 16

View job Apply on company site

Applied Researcher 4 (AI Safety & Multimodal)

At Capital One - New York · McLean

Posted on Nov 6

View job Apply on company site

Senior MLOps Engineer

At Fisher Investments - Tampa

Posted on Nov 7

View job Apply on company site

Senior Data Scientist

At Aristocrat

Posted on Nov 6

View job Apply on company site

ML Engineer

At Aristocrat

Posted on Nov 3

View job Apply on company site

Senior MLOps Engineer

At Fisher Investments - Camas

Posted on Oct 30

View job Apply on company site

Senior MLOps Engineer

At Fisher Investments - Plano

Posted on Oct 30

View job Apply on company site

Senior Staff Data Scientist

At Equinix - Remote / Flexible

Posted on Sep 6

View job Apply on company site

Machine Learning Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)

At TikTok

Posted on Oct 2

View job Apply on company site

Apple

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

SwitzerlandPosted 21 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