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

Warnerbros

Senior Machine Learning Engineer

Burbank, CA

$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 ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

... 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 ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

... 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 ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

... 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 ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

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

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$183.2K

How much do senior machine learning jobs pay per year?

As of Sep 8, 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 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 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 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.

Is senior machine learning a high paying job?

Senior machine learning roles typically offer high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies by industry, location, and experience, but these positions are generally among the higher-paying roles in tech and data science fields.

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:

Senior Machine Learning jobs near you
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, 25% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $89,976 per year, or $43.3 per hour.

Sr. Machine Learning Engineer - Hybrid schedule

Calance US

Los Angeles, CA • Hybrid

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Life

Posted 14 days ago

Job description

We are hiring Sr. Machine Learning Engineer - Hybrid schedule for a Full Time position in Los Angeles or NYC, CA
Sr. Machine Learning Engineer
About the Role
The Senior Machine Learning Engineer is an integral part of the Technology & Information Services team. This role will be responsible for the design, deployment, and optimization of custom workflows using classical machine learning (ML), Natural Language Processing (NLP), and Generative AI techniques to enhance legal and business processes, while designing, building, and optimizing custom machine learning models and workflows to optimize legal and business workflows. This role will be located in our Global Services Office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.
Responsibilities & Qualifications
Other key responsibilities include:
Contributing to the entire lifecycle of AI/ML applications including concept, design, test, release, and support
Developing and maintaining robust ML pipelines for training, validation, and model deployment
Working with DevOps or infrastructure teams to manage GPU resources, model serving frameworks, and CI/CD workflows
Evaluating and integrating new research, tools, and frameworks to advance the team s capabilities
Developing ML/GenAI solutions in a professional manner, and in accordance with established deliverable schedules and firm procedures
Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that retains
We d love to hear from you if you:
Demonstrate proficiency with Python including experience with libraries and frameworks relevant to GenAI application development (e.g., LangChain)
Exhibit proficiency with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), and serving tools (e.g., TorchServe, ONNX, Triton)
Display proficiency in training or fine-tuning language models (e.g., BERT, Llama2, GPT), and their optimization (LoRA, knowledge distillation, pruning, and quantization)
And have:
A bachelor s degree and master s degree in information systems, computer science, engineering, data science, or a related field, preferably
A minimum of five (5) years of experience in industry roles focused on machine learning, applied AI, or data science
A minimum of five (5) years of Python industry experience
A minimum of three (3) years of experience working with agile teams
Experience building and productizing ML models and systems
Estimated Pay Range: 175-195K