Machine Learning Engineer

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.

Skills

ML, PyTorch, Spark ML, TensorFlow, machine learning, ranking, scikit-learn, supervised, unsupervised