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Contract Machine Learning Engineer Jobs in Azusa, CA

Bespoke Labs

Machine Learning Engineer

Pomona, CA

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Pomona, CA · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Los Angeles, CA · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Crowe LLP

Machine Learning Engineer

Los Angeles, CA · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

primer.ai

Staff Machine Learning Engineer

Pasadena, CA · On-site

As a Staff Machine Learning Engineer, you'll own AI-driven products end to end, from the prototype ... contract requirements. The company may rescind any offer of employment to an applicant or terminate ...

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All JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Azusa, CA

Contract Machine Learning Engineer information

See Azusa, CA salary details

$32K

$131K

$196.9K

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

As of Sep 13, 2026, the average yearly pay for contract machine learning engineer in Azusa, CA is $131,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $157,700.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What cities near Azusa, CA are hiring for Contract Machine Learning Engineer jobs?

Cities near Azusa, CA with the most Contract Machine Learning Engineer job openings:

Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Azusa, CA as of August 2026, with employment types broken down into 1% As Needed, 61% Full Time, 32% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $131,002 per year, or $63 per hour.

Senior Machine Learning Engineer, Fraud Detection

Los Angeles, CA • Hybrid

Crunchyroll, LLC
Arts, Entertainment, and Recreation • 501 - 1,000 employees
Learn more about Crunchyroll, LLCexternal

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Job description

About the role

In the role of Senior Machine Learning Engineer, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California.

In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth.
We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, and Thursday. 

Core Areas of Responsibility
  • Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time.
  • Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.
  • Optimize models for performance, scalability, and efficiency to handle high-volume streaming data.
  • Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining.
  • Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics.
About You
  • Experience: You bring 8+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services.
  • Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP.
  • Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization.
  • Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration.
  • Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field.

About the Team

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

  • Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
  • Flexible time off policies allowing you to take the time you need to be your whole self.
  • Generous medical, dental, vision, STD, LTD, and life insurance
  • Health Saving Account HSA program
  • Health care and dependent care FSA
  • 401(k) plan, with employer match
  • Employer paid commuter benefit
  • Support program for new parents
  • Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

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