Staff Machine Learning Engineer
November 3
Description
• Looking for a highly capable machine learning engineer to help build and optimize machine learning systems. • Evaluating existing machine learning (ML) processes, performing statistical analysis to extract useful data from diverse datasets, and enhancing the accuracy of AI’s predictive powers. • Design machine learning systems to automate predictive models using signals from the software development lifecycle process including calendars, source code control (SCM), integrated development environments (IDE) as well as user feedback. • Transform business asks into ML solutions, leading a team through execution. • Ensure that algorithms generate accurate user recommendations. • Document machine learning processes. • Keep abreast of developments in machine learning and lead the team through appropriate adoption. • Communicate effectively with technical and non-technical stakeholders to align on priorities and value. • Provide technical leadership and mentorship to team members and the Tempo Engineering community at large. • Recommend strategies around maintaining ML and data assets to ensure durable operation and optimization over the lifespan.
Requirements
• Bachelor's degree in computer science, data science, mathematics, or a related field. • Masters or Ph.D. preferred • At least 8 years experience as a machine learning engineer. • Advanced proficiency with code writing: Python, Java etc • Familiar with cloud technologies: AWS, GCP etc • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture such as Sagemaker, HuggingFace, VertexAI, LLMs, etc • Knowledge of feature stores (Tecton, Feast, etc is a nice to have • In-depth knowledge of mathematics, statistics, and algorithms. • Superb analytical and problem-solving abilities. • Great communication and collaboration skills. • Excellent time management and organizational abilities.
Benefits
• Remote First Work Environment! • Unlimited vacation in most of our locations!! • Great benefits including health, dental, vision and savings plan. • Perks such as training reimbursement, WFH reimbursement, and more. • Diverse and dynamic teams with challenging and exciting work. • An opportunity to have a real impact on our business. • A great range of social activities (both in person and virtual). • Optional in person meet-ups and the ability to travel to our international offices • Employee referral program • And so much more!!
Apply Now