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Senior Tesla Machine Learning Engineer Jobs in Groves, TX

Bespoke Labs

Machine Learning Engineer

Beaumont, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Ksb

Machinist (Senior)

Port Arthur, TX

$18.50 - $25.25/hr

Set up and operate manual and/or CNC equipment (lathes, mills, boring mills, grinders, etc.) to machine, repair, or recondition pump parts and industrial components. * Interpret engineering drawings ...

KSB SE and Co KGaA

Machinist (Senior)

Port Arthur, TX · On-site

$18.50 - $25.25/hr

Set up and operate manual and/or CNC equipment (lathes, mills, boring mills, grinders, etc.) to machine, repair, or recondition pump parts and industrial components. * Interpret engineering drawings ...

Indorama Ventures

Machinist

Port Neches, TX · On-site

$19.50 - $26.50/hr

Team to identify process problem areas and learning how to communicate them up and through the ... Machine shop equipment experience including manual lathe, balance machine, milling machine, drill ...

Indorama Ventures

Machinist

Port Neches, TX

$19.50 - $26.50/hr

Team to identify process problem areas and learning how to communicate them up and through the ... Machine shop equipment experience including manual lathe, balance machine, milling machine, drill ...

Lamar University

Sr. System Administrator

Beaumont, TX · On-site

$59K - $77K/yr

Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) certification ... Lamar University strives to educate leaders, demonstrate excellence in student learning and career ...

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Senior Tesla Machine Learning Engineer information

See Groves, TX salary details

$54.9K

$116.7K

$169.3K

How much do senior tesla machine learning engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for senior tesla machine learning engineer in Groves, TX is $116,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $132,400.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Groves, TX? For Senior Tesla Machine Learning Engineer jobs in Groves, TX, the most frequently searched job titles are:
What cities near Groves, TX are hiring for Senior Tesla Machine Learning Engineer jobs? Cities near Groves, TX with the most Senior Tesla Machine Learning Engineer job openings:
Senior Tesla Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Beaumont, TX • On-site

Full-time

Posted 9 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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