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Senior Machine Learning Jobs in Venice, CA (NOW HIRING)

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from ...

Senior Machine Learning Engineer

Burbank, CA · On-site

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world's most iconic entertainment, news, and sports ...

Senior Machine Learning Engineer

Burbank, CA · On-site

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world's most iconic entertainment, news, and sports ...

... Sr. ML NLP Developer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

... Sr. ML NLP Developer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

... Sr. ML NLP Developer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

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Senior Machine Learning information

See Venice, CA salary details

$28K

$90K

$183.2K

How much do senior machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior machine learning in Venice, CA is $89,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $115,400.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in Venice, CA? The most popular types of Machine Learning jobs in Venice, CA are:
What cities near Venice, CA are hiring for Senior Machine Learning jobs? Cities near Venice, CA with the most Senior Machine Learning job openings:
Infographic showing various Senior Machine Learning job openings in Venice, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,976 per year, or $43.3 per hour.

Senior Machine Learning Engineer

Absurd Ventures

Santa Monica, CA • On-site

$165K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Summary
We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. You will be a key player in evolving how our games are built and experienced.
Core Responsibilities
  • Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and game systems. Educate the team on what is possible with ML.
  • Design and deploy LLM techniques, including agentic workflow and toolchain enhancements.
  • Build pipelines that train on gameplay data and deploy models optimized for real-time inference. Research and implement on-device small language and other local models for scalable incorporation of ML features in the live game experience.
  • Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive environments.
  • Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization.
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine.
  • Stay current with ML and real-time AI trends and ensure performance scalability across platforms.
  • Mentor other engineers and promote best practices in integrating ML techniques.

Core Qualifications
  • 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments.
  • Strong C++ programming experience.
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow.
  • Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind.
  • Understanding of supervised and unsupervised learning, reinforcement learning, and generative models.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.

Plus If
  • Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.).
  • Experience building or using ML tools in a game development context.
  • Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation.

Description
  • Full-time job with benefits.
  • Role is on-site in Santa Monica, CA.
  • Office is located near downtown Santa Monica - near metro and freeways.

The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity.