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Machine Learning Engineer Two Jobs in Duarte, CA

Warnerbros

Senior Machine Learning Engineer

Burbank, CA

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Contribute to lookalike modeling (LAL 2.0+) using 1,000+ first- and third- party features ...

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All JobsMachine Learning Engineer Two JobsMachine Learning Engineer Two Jobs in Duarte, CA

Machine Learning Engineer Two information

See Duarte, CA salary details

$33.1K

$135.2K

$203.2K

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

As of Sep 10, 2026, the average yearly pay for machine learning engineer two in Duarte, CA is $135,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $162,700.00 per year, depending on experience, location, and employer.

Are machine learning engineers still in demand?

Yes, machine learning engineers are in high demand across various industries due to the increasing adoption of AI and data-driven solutions. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.

What cities near Duarte, CA are hiring for Machine Learning Engineer Two jobs?

Cities near Duarte, CA with the most Machine Learning Engineer Two job openings:

Machine Learning Engineer Two jobs near you
Infographic showing various Machine Learning Engineer Two job openings in Duarte, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $135,205 per year, or $65 per hour.

Machine Learning Engineer, Level 5

Los Angeles, CA • On-site

Snap Inc.
See more jobs at Snap Inc.external

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Snap Inc is a technology company that operates Snapchat and other digital services. They are looking for a Machine Learning Engineer to build and deploy machine learning models, solve large-scale problems, and partner with teams to launch ML-driven features.
Responsibilities:
• Build and deploy machine learning models that power core products, serving millions of Snapchatters
• Apply modern ML techniques to solve large-scale, real-world problems
• Own the full ML lifecycle from data analysis to production deployment
• Partner with cross-functional teams to prototype and launch ML-driven features
• Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production
Qualifications:
Required:
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Ability to work with both internal and external partners
• Skilled at solving open ambiguous problems
• Strong collaboration and mentorship skills
• Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred:
• Advanced degree in computer science or related field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience working with machine learning, ranking infrastructures, and system design
Company:
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Founded in 2011, the company is headquartered in Venice, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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