Remote Staff Machine Learning Engineer

Summary

The job is for a Staff Machine Learning Engineer at Tempo, located in Argentina. The role involves designing machine learning systems, transforming business asks into ML solutions, ensuring accurate user recommendations, documenting processes, staying updated on ML advancements, and providing technical leadership. A bachelor's degree in computer science, data science, mathematics, or a related field is required, with at least 8 years of experience as a machine learning engineer. The position offers a remote-first work environment, training reimbursement, WFH reimbursement, optional in-person meet-ups, and an employee referral program.

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 nice to have)
• In-depth understanding of mathematics, statistics, and algorithms
• Superb analytical and problem-solving abilities
• Great communication and collaboration skills
• Excellent time management and organizational abilities

Responsibilities

• 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 while leading a team through the execution of these solutions
• 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
• Work with the team to constantly evolve and uplevel the ML and Data practice at Tempo
• Communicate effectively with technical and non-technical stakeholders to align priorities and values
• 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 duration of their useful lifespan

Benefits

• Remote First work environment
• If you’re close to one of our 3 Hubs: Boston, Montreal, or Reykjavik, feel free to use the space and catch up with the local team(s)
• Perks such as training reimbursement, WFH reimbursement, and more
• Optional in-person meet-ups and the ability to travel to our international offices
• Employee referral program