About Kinetic

Kinetic Automation is building a network of automated repair centers for modern vehicles. The auto industry is transitioning from mechanically complex vehicles to mechanically simple ones with complex software and technology. Kinetic aims to be the primary infrastructure-as-a-service for servicing future vehicles with our robotic repair centers, powered by our proprietary software and AI. We are a strong team of experienced robotics + automotive + shared mobility enthusiasts who have worked in self-driving, mapping, lidar, motorsport, ride-sharing and ghost kitchens. We are a venture backed startup (Series B) with a clear go-to-market strategy and meaningful revenue.

About the role

You’ll develop advanced machine learning models and algorithms to power our business. This includes customer-facing AI solutions and predictive analytics. You’ll also build internal tools to improve our data pipeline, model deployment, and monitoring systems, using cloud-based deployments on AWS and automated testing protocols.

Our company is focused on creating a powerful AI platform that uses data from all our operations. You’ll be key to this effort, ensuring our models are efficient, scalable, and easy to maintain. We’re looking for a senior engineer with deep experience in machine learning to lay a strong foundation for our AI development.

We value simplicity, reliability, and fast iteration. We use proven tools and avoid unnecessary complexity. You’ll help design systems that support our critical business needs while being easy to scale and develop.

Although this role is listed as "Remote," it is actually an in-person position in our East Bay Area office or our headquarters office in Orange County. We've found that in-person communication is critical to our development velocity and business success. Additionally, we believe that spending time around brilliant coworkers and cool robots is one of the biggest perks of working at Kinetic :)

Experience & Skills Required

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience in applying NLP models to real-world problems and deploying machine learning models in production environments.
• Solid understanding of deep learning architectures, algorithms, and techniques, including transformers and other models used in Generative AI. Experience with Llama/ChatGPT APIs is a plus.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong background in NLP or CV research, with a track record of publications in top-tier conferences or journals.
• Proficiency in Python programming with experience in relevant NLP packages such as NLTK, spaCy, Hugging Face Transformers, and others.

Responsibilities

• Lead the design, development, and deployment of machine learning models with a focus on NLP and CV applications.
• Collaborate with cross-functional teams to identify and solve challenging real-world problems using state-of-the-art NLP techniques.
• Conduct research to advance the state of the art in NLP and CV, and apply findings to enhance our products and services.
• Mentor junior engineers and researchers, providing guidance on best practices in machine learning and software development.
• Optimize and scale machine learning models for production environments.
• Stay up-to-date with the latest advancements in machine learning, NLP, and CV, and integrate relevant technologies into our projects.

Benefits:

• Competitive salary and equity package
• Comprehensive health and dental insurance
• Retirement savings plan.
• Paid time off and holidays

Kinetic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, military status, or any protected attribute. We encourage qualified candidates from all backgrounds to apply and join us in our mission. If you require accommodation at any stage of the application process due to a disability, please let us know.