Machine Learning Engineering Manager

Remote - Uruguay /
Technology – Engineering /
/ Remote
At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.

We are looking for a Machine Learning Engineering Manager to join our team, to manage and inspire teams of engineers to build the future of our AI Products.  You should have the passion to tackle tough problems by bringing your expertise to ASAPP to help us solve cutting edge machine learning and natural language processing (NLP) challenges. 

As a part of our team, you will design, develop, and deploy fast, efficient, and highly scalable machine learning algorithms that are applied to natural language processing problems, both as a leader and as a senior engineer. You'll work with our senior product team, engineers, and researchers to develop high quality software that is robust and reliable. You’ll be faced with new technical challenges and things to learn about ML and software engineering on a daily basis.

We encourage applicants from all locations in Uruguay to apply.

What you'll do

    • Be responsible for growing and developing an incredible team of talented and motivated engineers with high expectations around individual ownership and impact
    • Help us build meaningful ML products that help tens of millions of users
    • Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame 
    • Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
    • Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects 
    • Actively follow advancements in AI and ML, and participate in discussions about them with the ML and research teams
    • Foster a healthy and collaborative culture that embodies ASAPP's values.

What you'll need

    • Management experience on an engineering team
    • A Bachelor’s Degree in a field of science, technology, engineering, or math, or equivalent hands-on experience 
    • Experience implementing technical solutions, and tackling tough engineering problems to help build our products. You enjoy solving complex engineering problems and working closely with the Product team to achieve business goals
    • Experience in Machine Learning methodologies and experience building production-grade solutions
    • Production experience with Python, AWS, Kubernetes, and/or Docker
    • Passionate to work on Machine Learning projects and desire to learn new things, work closely with peers from different teams, and help others.

What we'd like to see

    • Production experience with Machine Learning and/or Natural Language Processing
    • Graduate degree (MS or Ph.D.)
    • Proven skill at debugging complicated systems and writing solid test cases to ensure their stability
    • Knowledge of additional languages such as SQL, Go, Javascript, or Typescript is not necessary but will help you work in and lead cross-functional teams.


    • Competitive compensation
    • Stock options
    • Blue Cross 350 Corp for the family group
    • Wellness perks
    • Learning & development stipend
    • Connectivity (mobile phone & internet) stipend
    • Mac equipment
    • English lessons
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. #LI-SL1 #LI-Remote