Location: Argentina
Role: Staff Machine Learning Engineer
Stack: Python, Java, AWS, GCP
At Tempo, we’re on a mission to help modern, forward-thinking product and engineering teams work better. Our integrated applications for time management, resource planning, and budget management provide an unrivaled understanding of how time and effort are spent. But we’re not the time tracking of yesterday. Our innovations in automation and machine learning make logging time seamless for the highly skilled and creative people doing the work. With uninterrupted effort, team leads and executives gain deep insights into how time is being used in order to plan, manage, and deliver results. After all, time is a finite and precious resource, and the world’s top-performing teams unlock the value of their time so that they consistently succeed.
We are looking for a highly capable machine learning engineer to help build and optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to extract useful data from diverse datasets, and enhancing the accuracy of our AI’s predictive powers.
To ensure success as a machine learning engineer, you should possess solid data science knowledge and experience in a related ML role.
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.
Ensure that all data and ML processes are developed fairly and in accordance with appropriate legal 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
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
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