Staff Machine Learning Engineer - Technical Leader
Buenos Aires
Applications have closed
ASAPP
Elevate human performance using the power of AI. Achieve breakthrough results in customer experience by empowering your agents with integrated automation.We are looking for a new member to join our Machine Learning team as a Staff Machine Learning Engineer. 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 large-scale machine learning training infrastructure and processes to simultaneously train and update hundreds or thousands of cutting-edge models at the same time. You will help guide and mentor junior members of the team, while working closely with our researchers, site reliability engineers, data engineers, and fellow machine learning engineers to build systems capable of training machine learning models at a scale and quality required to serve our clients, the world’s largest companies. You’ll be faced with new technical challenges and things to learn about ML and software engineering on a daily basis.
What you'll do
- Help us turn research into meaningful ML products that help tens or hundreds of millions of users
- Design, build, and maintain model training systems that leverage and enable cutting-edge developments in training machine learning models at scale
- Collaborate with and mentor engineers and researchers to help them maximize the speed and efficiency in model research and training
- Actively follow advancements in AI and ML, and participate in discussions about them with the ML and research teams
What you'll need
- Minimum of 5 years experience working on distributed computing projects
- Desire to learn new things, work closely with peers from different teams, and help others
- Production experience with modern cloud computing management (AWS, Kubernetes, Docker, etc.)
- Experience working with distributed computing technologies (for example: Hadoop, Spark, Airflow, Ray)
- Experience with at least one major programming language (Python, Go, Java, etc.)
What we'd like to see
- Production experience with Machine Learning and/or Natural Language Processing
- Proficiency in deep-learning frameworks like TensorFlow or PyTorch and/or experimentation and training frameworks, such as PyTorch-Lightning
- Experience in big-data, ETL, or large-scale data science
- Knowledge of additional languages such as Python, Go, Scala, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
- Be passionate about something we don’t already have expertise in!
Perks
- Competitive compensation
- Stock options
- OSDE 410 for the family group
- Wellness perks
- Mac equipment
- 3 weeks of vacation
- Training and development
- English lessons
Tags: Airflow AWS Docker Engineering ETL Hadoop JavaScript Kubernetes Machine Learning ML models Model training NLP Python PyTorch Research Scala Spark TensorFlow TypeScript
Perks/benefits: Competitive pay Equity
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