Machine Learning Engineer (m/w/d) - Gigafactory Berlin-Brandenburg in GERMANY

What To Expect
Tesla is accelerating the world's transition to sustainable energy. We continuously develop revolutionary strategies and products within shortest time, and successfully launch them on a large scale. This is only possible through extraordinary speed, innovation, and efficiency.

Gigafactory Berlin-Brandenburg marks a defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Here we will launch revolutionary products on a massive scale, using extraordinary speed, innovation and efficiency. Our employees will ensure that we achieve our goals, and we welcome you to help us write the next chapter of our success story.

As a Machine Learning Engineer, you will play a crucial role in advancing our data-driven initiatives and developing innovative solutions using machine learning techniques. You will collaborate closely with cross-functional teams to design, implement, and deploy machine learning models that address complex business challenges. In this role, you will leverage your expertise in machine learning, deep learning, natural language processing, and other advanced techniques to drive impactful outcomes across various domains within the organization, including building Large Language Models (LLMs).

What You'll Do

Design, develop, and deploy machine learning models and algorithms to address business challenges and drive operational efficiency

Collaborate with stakeholders to understand requirements, define success criteria, and develop solutions that meet business objectives

Conduct exploratory data analysis, feature engineering, and model evaluation to identify insights and improve model performance

Work closely with data engineers to ensure the availability, quality, and integrity of data for training and evaluation

Stay current with advancements in machine learning techniques and technologies, including building Large Language Models (LLMs), and apply them to solve real-world problems

Collaborate with software engineers to integrate machine learning models into production systems and ensure scalability and reliability

Document and communicate technical approaches, findings, and recommendations to stakeholders across the organization.

What You'll Bring

Strong foundation in machine learning concepts, algorithms, and techniques and proficiency in programming languages such as Python, and libraries such as TensorFlow, PyTorch, or scikit-learn

Experience with deep learning architectures for computer vision, natural language processing, or time series analysis

Familiarity with building Large Language Models (LLMs) and other advanced machine learning techniques

Solid understanding of data preprocessing, feature engineering, and model evaluation techniques

Experience with distributed computing frameworks such as Apache Spark is a plus

Familiarity with version control systems (e.g., Git) and agile software development practices

Strong analytical and problem-solving skills, with attention to detail and a commitment to delivering high-quality results

What We Offer
You will be working in our state-of-the-art Gigafactory, where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, relocation, and commuting support.

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