Tempo
Location: Argentina
Stack: Python, Java, AWS, GCP
Why Tempo
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 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.
About the position
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 resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
What You'll Do
Consulting with stakeholders to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze large volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
What You'll Need
Bachelor's degree in computer science, data science, mathematics, or a related field.
At least 3 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.
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
Knowledge of Feature Stores (Tecton, Feast …) is a nice-to-have
Benefits
Remote First work environment
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
