Machine Learning and NLP Specialist

4 days ago


Santa Ana, California, United States Kinetic Corporation Full time
About Kinetic Corporation

Kinetic Corporation is at the forefront of innovation in the automotive industry, focusing on building a network of automated repair centers for modern vehicles. This transformation from mechanically complex to simple vehicles with sophisticated software and technology opens doors to new possibilities. Our team of experienced professionals is committed to being the primary infrastructure-as-a-service for servicing future vehicles, utilizing our proprietary software and AI. We are a strong team of robotics, automotive, and 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. As a dynamic engineering team, we collaborate across disciplines to create cutting-edge solutions that address real-world challenges in vehicle servicing.

About the Role

As a Machine Learning and NLP Specialist, you will join our innovative team to work on projects focused on creating a powerful AI platform that uses data from all our operations. This role offers an exciting opportunity to engage in innovative NLP research, collaborate across teams, and contribute to solving complex challenges in the vehicle servicing industry.

Responsibilities
  1. Conduct research to advance the state of the art in NLP, applying findings to enhance our products and services.
  2. Collaborate with cross-functional teams to identify and solve challenging real-world problems using state-of-the-art NLP techniques.
  3. Stay up-to-date with the latest advancements in machine learning, NLP, and computer vision, and integrate relevant technologies into our product roadmaps.
  4. Assist in developing, training, and fine-tuning NLP models for applications such as named entity recognition and information retrieval.
  5. Contribute to data processing pipelines, including data collection, preprocessing, and augmentation.
  6. Analyze and interpret model performance, including error analysis and hyperparameter tuning.
  7. Prepare research reports, documentation, and presentations of findings and progress.

Salary and Benefits

We offer a competitive salary of $110,000 - $140,000 per year, based on experience.

Additionally, we provide comprehensive benefits, including medical, dental, and vision insurance, 401(k) matching, and a generous paid time off policy.



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