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Temporary Machine Learning Engineer Jobs in Poway, CA

Seasats

Senior Machine Learning Engineer

San Diego, CA · On-site

$180K - $250K/yr

  • Medical

  • Retirement

  • PTO

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Apple Inc.

Machine Learning Engineer- Gen AI

San Diego, CA · On-site

$142.30 - $214.30/hr

  • Medical

  • Dental

  • Retirement

Operations and Supply Chain Product Operations partners with a variety of different engineering and operations teams; our team leads development of machine learning solutions. We deliver projects ...

Seasats

Senior Machine Learning Engineer

San Diego, CA · On-site

$180K - $250K/yr

  • Medical

  • Retirement

  • PTO

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Seasats

Senior Machine Learning Engineer

San Diego, CA

$180K - $250K/yr

  • Medical

  • Retirement

  • PTO

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

SwiftCruit

Lead Machine Learning Engineer

San Diego, CA · On-site

$200K/yr

Last updated: 3 days ago $70.00 hourly Full-time We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure that supports scalable, secure, and production-ready ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA

$111K - $152K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

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All JobsMachine Learning Engineer JobsTemporary Machine Learning Engineer JobsTemporary Machine Learning Engineer Jobs in Poway, CA

Temporary Machine Learning Engineer information

See Poway, CA salary details

$32.2K

$131.7K

$197.9K

How much do temporary machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for temporary machine learning engineer in Poway, CA is $131,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What are the most commonly searched types of Machine Learning Engineer jobs in Poway, CA?

The most popular types of Machine Learning Engineer jobs in Poway, CA are:

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For Temporary Machine Learning Engineer jobs in Poway, CA, the most frequently searched job titles are:

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Cities near Poway, CA with the most Temporary Machine Learning Engineer job openings:

Temporary Machine Learning Engineer jobs near you

Machine Learning Engineer - Camera & Photos, Creative Foundations

Apple, Inc.

San Diego, CA • On-site

Other

Re-posted 24 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

We're looking for a Machine Learning Engineer and Researcher to join the Creative Foundations team within Camera & Photos. In this role, you won't just implement models - you'll invent them. You'll work at the intersection of cutting-edge ML research and the features that hundreds of millions of people use every day to capture, relive, and share their most meaningful moments.
This is a role for someone who gets excited about turning a theoretical breakthrough into a magical user experience. You'll bridge the gap between what's possible in research and what's shippable in product - translating state-of-the-art advances in image understanding into intelligent systems that feel intuitive and delightful. We're especially drawn to those with a passion for photography and experience with the visual and creative domains that make this work so meaningful.
Description
As a Machine Learning Engineer on the Creative Foundations team, you will pioneer novel approaches to image understanding - designing architectures, training strategies, and intelligent systems that push the boundaries of what our camera and photo experiences can do. You'll continuously survey state-of-the-art research, rapidly prototype high-potential ideas, and translate them into shippable features - while also leveraging model introspection and interpretability techniques to deeply understand why models behave the way they do and guide decisions accordingly. You'll collaborate across disciplines with product designers, software engineers, and aesthetic science researchers in an environment that values diverse perspectives, research rigor, and agility in an ever-evolving ML landscape.
Minimum Qualifications
MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Applied Mathematics, Statistics, or a related field - or equivalent practical experience demonstrating deep ML expertise.
Experience in machine learning, computer vision, or a related field (academic or industry), with a strong portfolio of building and shipping models or publishing research.
Deep understanding of modern ML architectures and techniques - including (but not limited to) transformers, diffusion models, contrastive learning, multi-modal models, and efficient neural network design and optimization.
Proficiency in ML frameworks such as PyTorch, and comfort working across the full model lifecycle from research exploration using large-scale data to production deployment.
Experience with image understanding tasks such as semantic segmentation, scene recognition, image captioning, visual question answering, image aesthetics, or image retrieval.
Strong fundamental software engineering background
Preferred Qualifications
A track record of creative problem-solving - taking an ambiguous challenge and finding an elegant, sometimes unconventional, ML-driven solution.
A genuine passion for pushing the boundaries of what's possible with machine learning and a deep curiosity for how intelligent systems can transform everyday experiences.
Published research at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH, etc.) is valued - but so is a strong portfolio of impactful shipped features or open-source contributions.
Comfort navigating ambiguity and working in a fast-moving R&D environment where the problem definition evolves alongside the solution.
A personal connection to photography or visual storytelling - whether through a creative practice, a deep appreciation for the craft, or simply an obsession with what makes a great image.
Specific computer vision experience in the areas of Semantic Image Understanding, Diffusion for Image Generation, Style Transfer, Computational Photography, Image Enhancement (Super-Resolution, Eenoising, etc.), Aesthetic Quality Assessment, Personalization (Few-Shot Adaptation)

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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