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Senior Tesla Machine Learning Engineer Jobs in Utah

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training ...

The Engineer will design, build, and deploy machine learning, generative AI, and agentic AI systems ... Design, build, and optimize machine learning models, including classification, regression ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... programming languages * Proficient creating machine learning, predictive modeling, and advanced ...

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... programming languages * Proficient creating machine learning, predictive modeling, and advanced ...

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

KēSTA I.T. is actively seeking multiple Senior Data Scientists for an immediate permanent need ... engineering, product, and operational stakeholders to design, test, and deploy machine learning and ...

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

Junior API Developer (RESTful APIs)

Ogden, UT · On-site

$65K - $85K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Engineers/Data Scientists, Machine Learning engineers for ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow ... Senior Data Engineer (or closely related occupation) architecting, building, deploying, and ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow ... Senior Data Engineer (or closely related occupation) architecting, building, deploying, and ...

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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 popular job titles related to Senior Tesla Machine Learning Engineer jobs in Utah? For Senior Tesla Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Utah look for? The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Senior Tesla Machine Learning Engineer jobs? Cities in Utah with the most Senior Tesla Machine Learning Engineer job openings:
NGA AI Engineer Senior Manager

NGA AI Engineer Senior Manager

Pwc

Salt Lake City, UT

$91K - $321K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development of innovative
AI solutions that drive operational excellence. As a Senior Manager you will serve as a strategic
advisor, leveraging your knowledge to guide large projects and motivate top-performing teams to
navigate complex challenges. This role offers the chance to work with advanced technologies
and collaborate with diverse stakeholders, securing impactful results that align with industry
-
leading standards.
Responsibilities
- Lead the creation of innovative AI solutions to enhance operational effectiveness
- Serve as a strategic advisor on large-scale projects, guiding teams through challenges
- Motivate and develop top-performing teams to achieve project objectives
- Work with diverse stakeholders to secure alignment with industry standards
- Utilize advanced technologies to drive impactful results
- Foster a culture of continuous improvement and operational excellence
- Analyze complex data to identify opportunities for innovation
- Communicate effectively to convey project goals and progress
What You Must Have
- High School Diploma
- At least 6 years of experience
What Sets You Apart
- Master's Degree in Computer Engineering, Computer Science, Data Processing/Analytics/
Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Crafting and conveying clear, impactful messages
- Applying systems thinking to identify underlying problems
- Validating outcomes with clients and sharing perspectives
- Directing teams through complex and ambiguous situations
- Evolving your technical and industry knowledge
- Initiating open coaching conversations at various levels
- Adhering to production-grade quality standards
- Experience creating context aware GenAI Chat experience using SSE, JSON-RPC and WebSocket

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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