About the role
Responsibilities:
- Create ML models that help drive value for users and our company.
- Build scalable ML model training and serving infrastructure.
- Evaluate the technical tradeoffs of every decision.
- Perform code reviews and ensure exceptional code quality.
- Iterate quickly without compromising quality.
Requirements:
- Bachelor's Degree in a relevant technical field such as computer science and 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ years of post-grad machine learning experience; or PhD in a relevant technical field + 1 year of post-grad machine learning experience.
- Experience developing machine learning models for supervised, unsupervised, ranking, or other relevant applications of machine learning.
- Strong understanding of machine learning approaches and algorithms.
- Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Ability to work with both internal and external partners.
- Strong collaboration and mentorship skills.
- Entrepreneurial Mindset: Highly self-motivated and adaptable with a passion for innovation, problem-solving, and making a meaningful impact in a startup environment.
- Willingness to take ownership and drive projects from concept to implementation.
Preferred to have:
- Experience in on-prem ML model deployment and observability.
- Experience in building and deploying ML models for real-time time series data like sensor/IoT data.