Machine Learning / Computer Vision Engineer - Generative AI

Lensa; Sunnyvale (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

A leading technology company is seeking a skilled Machine Learning / Computer Vision Engineer specialized in Generative AI. The role involves designing and deploying state-of-the-art AI solutions across diverse domains, requiring collaboration with cross-functional teams. Ideal candidates will have hands-on experience in developing and deploying machine learning models, along with competencies in Python programming and deep learning frameworks.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discretionary bonuses

Qualifications

• Minimum of 3 years relevant industry experience.
• Strong expertise in generative AI models.
• Experience with cloud computing and distributed model training.

Responsibilities

• Design, train, and fine-tune generative AI models.
• Develop and optimize deep learning models for various data types.
• Collaborate with teams to integrate AI solutions into real-world applications.

Skills

Generative AI

Machine Learning

Deep Learning

Computer Vision

Problem Solving

Python

Education

BS in a related field

Tools

TensorFlow

PyTorch

AWS

GCP

Docker

Job description

Machine Learning / Computer Vision Engineer - Generative AI

Machine Learning / Computer Vision Engineer - Generative AI

1 week ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Sunnyvale, CA. Apply via Lensa today!

Machine Learning / Computer Vision Engineer - Generative AI

Sunnyvale, California, United States

Machine Learning and AI

Summary

Posted: Feb 21, 2025

Role Number: 200592434

Apple’s Synthetic Data Group (SDG) is seeking a skilled Machine Learning Engineer with hands-on experience in Generative AI to join our team. In this role, you will be responsible for designing, training, and deploying state-of-the-art generative models to solve problems across various domains (text, image and video ). You will work closely with cross-functional teams, including technical artists, computer graphics engineers, ML engineers and product managers, to develop cutting-edge AI solutions that push the boundaries of creativity and automation. The ideal candidate will have a proven track record of delivering successful computer vision applications, with experience in developing and deploying deep learning models in production environments.

Description

Design, train, and fine-tune Generative AI models (e.g., GANs, VAEs, Diffusion Models, Transformers like GPT, Stable Diffusion).

Develop and optimize large-scale deep learning models for text, image and video generation.

Implement efficient training pipelines using distributed computing and cloud-based infrastructure (e.g., AWS, GCP).

Research and experiment with foundation models, multimodal AI, and reinforcement learning to enhance generative capabilities.

Collaborate with synthetic data engineers to preprocess datasets, create synthetic data, and optimize data pipelines.

Deploy generative AI models into production using ML frameworks (TensorFlow, PyTorch) and MLOps best practices.

Optimize model inference for latency and efficiency, leveraging quantization, pruning, and edge deployment strategies.

Stay updated with cutting-edge AI research, contribute to patents/publications, and participate in open-source projects.

Work closely with product teams to integrate generative AI into real-world applications (e.g., content creation, automation, digital assistants).

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience.
• Experience in Computer Graphics fundamentals (3D Gaussian Splats, path tracing, rendering, ...)
• Familiarity with real time / path tracing renderers (VRay, Arnold, Unreal Engine, ...).
  
  

Preferred Qualifications

• Experience with RLHF (Reinforcement Learning with Human Feedback).
• Contributions to open-source ML projects or publications in top AI conferences.
• Experience in automated content generation, synthetic media, or AI-powered creative tools.
• 5+ years of hands-on experience in Machine Learning & Deep Learning.
• Strong expertise in Generative AI models (Diffusion Models, GANs, VAEs, Transformers).
• Experience using Synthetic Data for training computer vision models
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, JAX.
• Experience with NLP, Computer Vision, or Multimodal AI.
• Familiarity with LLMs (GPT, LLaMA, Mistral, etc.) and fine-tuning techniques like LoRA, PEFT.
• Experience in model deployment using Docker, TensorRT, ONNX.
• Strong knowledge of cloud computing (AWS, GCP) and distributed model training.
• Experience with MLOps, model versioning, and monitoring (MLflow, Weights & Biases).
• Strong problem-solving skills and ability to work in a fast-paced, product-focussed environment.
  
  

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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