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DataAnnotation

$40/hr

A leading cybersecurity firm is seeking experienced professionals for a remote position focused on evaluating AI-generated security content. The role involves solving technical problems in ...

Goldbelt, Inc.

Senior Storage Engineer

Monterey, CA · On-site

$105.95K - $119.19K/yr

Providing intelligence, IT, cyber security, training, logistics, administrative, acquisition, and background investigation services. Summary: The Senior Storage Engineer will be a part of the data ...

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How much do engineer training jobs jobs pay per year?

As of Jun 3, 2026, the average yearly pay for engineer training jobs in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.
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Senior ML Infrastructure Engineer - Training Algorithms, SIML

Senior ML Infrastructure Engineer - Training Algorithms, SIML

Apple

Cupertino, CA • On-site

$133.90K - $182K/yr

Full-time

Posted 12 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day...We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working with closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training & deployment infrastructure.
In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure. Responsibilities Include: - Training optimizations & profiling targeting vision/language pre-training- Researching training recipes for effective scheduling of multimodal training workloads- Experimentation & tooling for post-training ablations including reward modeling, distillation and prompt optimization- Coordinating with post-training algorithm owners for analyzing quality / performance tradeoffs of downstream capabilities- Ablations involving optimization aware fine-tuning
Bachelors, Masters, or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on machine learning; or comparable professional experienceExperienced in training / adapting LLM and Diffusion modelsAdvanced Fluency in PyTorch Excellent programming skills and experience contributing software to large projectsExperience with distributed training of large models
Strong ML FundamentalsExperience working with large cross-functional and diverse teams.

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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