Senior Machine Learning Engineer
15 hours ago
Kinetic Corporation is revolutionizing the automotive industry by developing a network of automated repair centers. Our proprietary software and AI-powered systems enable efficient and reliable vehicle servicing.
We're a venture-backed startup with a clear go-to-market strategy and significant revenue. Our team of experienced robotics, automotive, and shared mobility enthusiasts is passionate about creating a powerful AI platform.
About the RoleYou'll design and 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.
We're looking for a senior engineer with deep experience in machine learning to lay a strong foundation for our AI development. You'll help design systems that support our critical business needs while being easy to scale and develop.
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.
- Competitive salary and equity package
- Comprehensive health and dental insurance
- Retirement savings plan
- Paid time off and holidays
Kinetic Corporation 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.
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