Staff AI Research Engineer

About the role

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring.

Responsibilities

• Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.
• Contribute to the development and training of bandit models and large-scale neural network models.
• Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.
• Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group.
• Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
• Mentor team members, providing guidance and support in their professional development.
• Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

Requirements

• Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
• Strong background in training and fine-tuning large models in an applied setting.
• Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
• Excellent leadership and communication skills, with the ability to manage and inspire a team.
• Deep understanding of machine learning concepts, frameworks, and best practices.

Qualifications

• Experience with large language models, multi-armed bandits, and other relevant machine learning techniques.
• Knowledge of the entire machine learning pipeline, from data collection to model deployment.
• Ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.

Skills

• Proficiency in Python, R, or other programming languages commonly used in machine learning.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Understanding of reinforcement learning algorithms and their applications.
• Experience with natural language processing (NLP) and computer vision.

Benefits

We offer a comprehensive benefits package designed to support your overall well-being. Please visit our benefits page for more details.

Pay

The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation.

Salary Range: $220,800—$331,200 USD

Schedule

Details on the work schedule will be provided during the interview process.

Accommodations

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 accommodations@duolingo.com.

Equal Employment Opportunity

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Fraud Warning

Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.