Tesla

Senior Machine Learning Engineer, Autobidder

Tesla

Palo Alto, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At Tesla, we are revolutionizing the energy industry with our cutting-edge technologies and sustainable solutions. We are seeking a talented and experienced Senior Machine Learning Engineer to join our dynamic team and contribute to our mission of accelerating the world's transition to sustainable energy. As the Autobidder Senior Machine Learning Engineer, you will play a critical role in developing and implementing advanced machine learning algorithms to optimize our energy trading platform. To excel in this role, you must have a strong background in machine learning, a passion for innovation, and the ability to thrive in a fast-paced and collaborative environment. Join us in shaping the future of energy and make a meaningful impact with your skills and expertise.

  1. Develop and implement advanced machine learning algorithms to optimize Tesla's energy trading platform.
  2. Collaborate with cross-functional teams to identify and analyze business requirements and translate them into technical solutions.
  3. Conduct research and stay up-to-date with the latest developments in machine learning to continuously improve and enhance Tesla's energy solutions.
  4. Act as a subject matter expert and provide guidance and support to junior members of the machine learning team.
  5. Work closely with data engineers to ensure efficient data processing and integration into the machine learning models.
  6. Design and maintain scalable and efficient machine learning systems that can handle large volumes of data.
  7. Perform thorough testing and evaluation of machine learning models to ensure accuracy and reliability.
  8. Identify and troubleshoot any issues with the machine learning models and provide timely resolutions.
  9. Collaborate with stakeholders to understand their needs and provide innovative solutions using machine learning techniques.
  10. Participate in code reviews, brainstorming sessions, and team meetings to drive continuous improvement and innovation.
  11. Stay compliant with industry best practices and ensure all machine learning models are in line with company and regulatory standards.
  12. Continuously monitor and evaluate the performance of the machine learning models and identify opportunities for improvement.
  13. Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
  14. Contribute to the overall success of Tesla's energy initiatives by driving innovation and delivering high-quality machine learning solutions.
Where is this job?
This job is located at Palo Alto, CA, USA
Job Qualifications
  • Extensive Experience In Machine Learning: A Senior Machine Learning Engineer At Tesla Should Possess A Deep Understanding Of Machine Learning Algorithms, Data Structures, And Statistical Methods. They Should Have At Least 5 Years Of Experience In Developing And Deploying Machine Learning Models In Production Environments.

  • Proficiency In Programming Languages: The Ideal Candidate Should Have A Strong Programming Background, With Expertise In Languages Such As Python, R, And Java. They Should Also Be Familiar With Machine Learning Frameworks, Such As Tensorflow And Pytorch.

  • Knowledge Of Data Analysis And Visualization Tools: A Senior Machine Learning Engineer Should Have A Solid Understanding Of Data Analysis And Visualization Techniques. They Should Be Proficient In Using Tools Such As Sql, Tableau, And Power Bi To Extract Insights From Large Datasets.

  • Background In Energy Systems Or Renewable Energy: Since The Autobidder Job At Tesla Involves Optimizing Energy Trading And Storage, A Strong Background In Energy Systems Or Renewable Energy Is Highly Desirable. The Candidate Should Have A Thorough Understanding Of Energy Markets, Grid Infrastructure, And Energy Storage Technologies.

  • Strong Problem-Solving And Communication Skills: Tesla Values Engineers Who Can Think Critically And Creatively To Solve Complex Problems. The Candidate Should Also Have Excellent Communication Skills To Collaborate With Cross-Functional Teams And Present Their Findings And Recommendations To Stakeholders.

Required Skills
  • Data Analysis

  • statistical analysis

  • Machine Learning

  • Deep Learning

  • Computer Vision

  • Artificial Intelligence

  • Natural language processing

  • Algorithm development

  • Predictive modeling

  • Time series analysis

  • Neural Networks

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Machine Learning Engineer, Autobidder in Palo Alto, CA, USA is $160,000 - $180,000 per year. However, this can vary depending on the specific company, level of experience, and skills of the individual. Some companies may offer higher salaries for this role, while others may offer lower salaries. It is important to research and compare salaries from multiple sources to get a better understanding of the average salary for this position in a specific location.

Additional Information
Tesla is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 27th, 2024
Apply BeforeAugust 19th, 2025
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About Tesla

Tesla, Inc., is an American electric vehicle and clean energy company based in Palo Alto, California. The company specializes in electric vehicle manufacturing, battery energy storage from home to grid scale and, through its acquisition of SolarCity, solar panel and solar roof tile manufacturing.

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