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Senior Tesla Machine Learning Engineer Jobs in California

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Machine Learning Engineer to lead the development of ML models and systems to enhance content understanding, collaborating with cross-functional teams and providing ...

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

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 ...

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...

... a Machine Learning Engineer to contribute to high-impact initiatives across the Paramount+ and ... You will work closely with senior engineers and applied scientists to build and deploy production ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla's machine learning capabilities. A key part of this effort is ...

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

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Senior Tesla Machine Learning Engineer information

How does a Senior Machine Learning Engineer at Tesla typically collaborate with cross-functional teams?

As a Senior Machine Learning Engineer at Tesla, you will frequently work alongside software developers, data scientists, product managers, and hardware engineers. Collaboration is highly cross-functional, with regular meetings to align on project goals, data requirements, and model deployment strategies. You may be involved in translating business objectives into machine learning solutions, sharing insights with non-technical stakeholders, and refining algorithms based on feedback from various departments. This collaborative environment fosters innovation and ensures that machine learning models are well-integrated into Tesla's products and systems.

What are the key skills and qualifications needed to thrive as a Senior Tesla Machine Learning Engineer, and why are they important?

To thrive as a Senior Tesla Machine Learning Engineer, you need deep expertise in machine learning algorithms, strong programming skills in Python or C++, and a proven track record in deploying models at scale, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience working with large datasets, and cloud computing platforms are typically required, as well as knowledge of Tesla's proprietary systems. Exceptional problem-solving, collaboration, and communication skills distinguish top performers in this role. These abilities are crucial for developing advanced AI solutions that power Tesla's autonomous systems and for driving innovation in a highly competitive, fast-evolving environment.

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

AspectSenior Tesla Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous vehicles, energy, and manufacturingAnalyzes data to extract insights, supports product and business decisions
Employer & Industry UsageTesla, automotive, energy, AI projectsVarious industries including tech, finance, healthcare

While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.

What does a Senior Tesla Machine Learning Engineer do?

A Senior Tesla Machine Learning Engineer leads the development and deployment of advanced machine learning models to improve Tesla’s products, such as Autopilot, Full Self-Driving, and manufacturing optimization. They collaborate with multidisciplinary teams to collect data, design algorithms, and ensure models are robust and scalable. In this role, engineers are expected to mentor junior staff, drive research initiatives, and help translate cutting-edge AI advancements into real-world Tesla applications.
What job categories do people searching Senior Tesla Machine Learning Engineer jobs in California look for? The top searched job categories for Senior Tesla Machine Learning Engineer jobs in California are:
What cities in California are hiring for Senior Tesla Machine Learning Engineer jobs? Cities in California with the most Senior Tesla Machine Learning Engineer job openings:

Machine Learning Engineer

Pattern AI

San Mateo, CA

Full-time

Posted 21 days ago


Job description

Company Description

PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.

Job Description

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities:

  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.

  • Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

  • Proficiency across topics in machine learning and statistics.

  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

  • Experience implementing, deploying, and maintaining production machine learning systems.

  • Experience monitoring and optimizing model performance.

  • Experience with Linux, Docker and AWS, and basic development operations.

  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Additional Information

About PatternAI

PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.

All your information will be kept confidential according to EEO guidelines.