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Senior Tesla Machine Learning Engineer Jobs in Mississippi

Integer

Machine Learning Engineer

Gulfport, MS · On-site

About the role Integer Technologies is seeking a Machine Learning Engineer to develop, optimize, and deploy AI/ML methods that power perception and autonomy for maritime platforms. This role sits at ...

Bespoke Labs

Machine Learning Engineer

Southaven, MS · 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 ...

Bespoke Labs

Machine Learning Engineer

Tupelo, MS · 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 ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Bespoke Labs

Machine Learning Engineer

Jackson, MS · 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 ...

Bespoke Labs

Machine Learning Engineer

Gulfport, MS · 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 ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Bespoke Labs

Machine Learning Engineer

Meridian, MS · 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 ...

Bespoke Labs

Machine Learning Engineer

Biloxi, MS · 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 ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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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 are the most commonly searched types of Tesla Machine Learning Engineer jobs in Mississippi? The most popular types of Tesla Machine Learning Engineer jobs in Mississippi are:
What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Mississippi? For Senior Tesla Machine Learning Engineer jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Mississippi look for? The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Mississippi are:
What cities in Mississippi are hiring for Senior Tesla Machine Learning Engineer jobs? Cities in Mississippi with the most Senior Tesla Machine Learning Engineer job openings:
Senior Tesla Machine Learning Engineer jobs near you

Machine Learning Engineer

Integer

Gulfport, MS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Integer Holdings rating

7.3

Company rating: 7.3 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

322nd of 537 rated manufacturers

Job description

About the role
Integer Technologies is seeking a Machine Learning Engineer to develop, optimize, and deploy AI/ML methods that power perception and autonomy for maritime platforms. This role sits at the intersection of data science and software engineering: you will design models that turn raw maritime sensor data into reliable detection, classification, and situational awareness, and you will be responsible for integrating those models into production software that runs on the edge. Candidates must be U.S. citizens, eligible for a DoD security clearance, and capable of working across multidisciplinary teams to deliver scalable, maintainable, and mission-ready systems. Experience in maritime autonomy, sensor fusion, and distributed systems is highly desirable
What you'll do
  • Model Development: Design, train, and evaluate machine learning and deep learning models for detection, classification, segmentation, tracking, and signal analysis using maritime sensor data, with particular emphasis on sonar and other maritime sensors.
  • Sensor Data & Fusion: Develop methods to process, fuse, and exploit heterogeneous sensor streams (sonar, magnetics, IMU, etc.) to produce robust perception in challenging maritime conditions.
  • Edge Deployment: Optimize and deploy models for real-time inference on size, weight, and power constrained edge compute, applying techniques such as quantization, pruning, distillation, and hardware acceleration (e.g., GPU/CUDA, TensorRT, embedded accelerators).
  • Software Integration: Integrate ML components into production software and autonomy pipelines, ensuring reliable interfaces with sensors, middleware, and downstream systems; write well-tested, maintainable code under version control.
  • Data Pipelines & Tooling: Build pipelines and tooling for data ingestion, labeling, augmentation, and the creation of training and validation datasets that reflect real operational environments.
  • Research & Innovation: Stay current with advances in AI/ML and signal processing, and identify opportunities to extend perception and autonomy capabilities based on evolving mission requirements
  • Collaboration & Mentorship: Work across multidisciplinary teams and external partners, and contribute to a culture of technical excellence, knowledge sharing, and development best practices

Qualifications
  • Must be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance.
  • Bachelor's degree in relevant fields (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field) and 7+ years of experience relevant to primary responsibilities outlined above.

OR
  • Master's degree in relevant field (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field) and 5+ years of experience relevant to primary responsibilities outlined above.
  • Strong proficiency in modern programming languages (e.g., C++, Python) and common ML frameworks (e.g., PyTorch or TensorFlow), with solid software engineering fundamentals and experience using Git
  • Demonstrated experience taking ML models from prototype to integrated software
  • Solid foundation in the mathematics underpinning ML, including linear algebra, probability and statistics, and signal processing.
  • Experience working with real sensor data and an understanding of the challenges of noisy, real-world signals.
  • Excellent written and oral communication skills, and the ability to collaborate effectively across disciplines.

Additional Desired Qualifications
  • Ph.D. in relevant field (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field)
  • Experience developing robotic or autonomous systems, using data from various perception sensor types (sonar, magnetic, cameras, lidar, etc.) to enhance a robotic platform's perception of its surrounding environmental and potential navigational hazards
  • Experience with unmanned and autonomous systems research involving maritime autonomous systems such as uncrewed surface vessels and uncrewed underwater vessels.
  • Experience with edge processing
  • Understanding of the Navy and Department of Defense's mission, problem set, and strategy for the integration of autonomous systems.

About Integer Technologies
Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.
Company Benefits
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning, Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employees thousands of dollars annually.
  • Relocation assistance available.
  • Base salaries which exceed local & national industry averages.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays

Company Perks
  • Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well.
  • Waterfront office view!

What Integer Holdings employees say

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