Urgent! Machine Learning / Computer Vision Engineer - Generative AI Job Opening In Sunnyvale – Now Hiring Apple
**Role Number:** 200592434-3956
**Summary**
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 $147,400 and $272,100, 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) .
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Sunnyvale, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Sunnyvale, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11027 jobs in United States and 188 jobs in Sunnyvale. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a Machine Learning / Computer Vision Engineer Generative AI to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning / Computer Vision Engineer Generative AI Jobs United States varies, but the pay scale is rated "Standard" in Sunnyvale. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning / Computer Vision Engineer Generative AI typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning / Computer Vision Engineer Generative AI interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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