Head of AI and Machine Learning
New York City
Duolingo
Duolingo is the world's most popular way to learn a language. It's 100% free, fun and science-based. Practice online on duolingo.com or on the apps!Our mission at Duolingo is to develop the best education in the world and make it universally available. But we’ve got more left to do — and that's where you come in!
Duolingo is the most popular language-learning application in the world, with over 500 million users and over half a billion exercises completed daily. Beyond our core learning product, we have also entered into literacy with Duolingo ABC and English proficiency testing with the Duolingo English Test.
We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more!
As Head of AI and Machine Learning at Duolingo, you will have the opportunity to grow as a researcher and to steer the company’s overall artificial intelligence efforts, creating a more formal path for ML experimentation, development, and product realization. By collaborating with other leaders in engineering, product, learning, and design, you will align product needs with new areas of research and innovation that support ML efforts across the company, both in the near-term and long-term.
You Will...
- Develop the vision and corresponding strategy for AI and ML at Duolingo.
- Build a shared team of ML researchers and engineers through effective hiring, coaching, mentoring, and hands-on career development, with a focus on cultivating talent and instilling data-driven values in a fast-paced environment.
- Collaborate with engineering, product, design, learning, assessment, and business leaders to ensure that work is aligned with Duolingo’s mission and goals.
- Set and own the strategy and implementation for multiple areas of focus, including NLP, speech technology, personalization, dialog systems, anomaly detection, forecasting, and so on; balancing short- and long-term priorities against various business needs.
You Have...
- PhD (or equivalent industry experience) in computer science or a related field.
- 10+ years of professional experience as a research or engineering leader.
- Experience with technical innovation in cross-functional, engineering-oriented environments.
- Experience growing and developing organizations and teams.
- Excellent presentation, interpersonal, and critical thinking skills.
- Ability to travel to Pittsburgh, PA at least once per quarter.
Exceptional Candidates Will Have...
- Experience in fast-growing, consumer-facing, data-driven startups, ideally mobile app based.
- Experience with ideation and innovation of technology at scale, successfully producing intelligent software products and features within strict timelines.
- A desire to keep up with the field by attending or publishing at relevant conferences (ICML, NeurIPS, ACL, EMNLP, KDD, AAAI, ICLR, CVPR, etc.)
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.
Because Duolingo intends to require all employees to return to work from an office, all employees will need to be fully vaccinated against COVID-19 and have received any booster doses as recommended by the Centers for Disease Control and Prevention to remain employed unless they have an exemption to vaccination pursuant to a required reasonable accommodation. This is so that our employees feel safe in the office.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
Tags: Computer Science EMNLP Engineering ICLR ICML Machine Learning NeurIPS NLP PhD Research Testing Travel
Perks/benefits: Career development Conferences
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Business Data Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs