About the Role"

Machine Learning is a cornerstone at TaskRabbit, and we're expanding our functional teams to deliver cutting-edge AI products that drive new initiatives within our business. We are on the lookout for a highly motivated and seasoned Senior Staff Machine Learning Engineer to join our team and contribute to shaping the future of ML/AI at TaskRabbit. In this role, you will take on exciting challenges in machine learning that directly impact the way people discover home services through the TaskRabbit platform.

As a Senior Staff Machine Learning Engineer, you will play a crucial role in advancing our capabilities in deep learning and language models and contributing significantly to groundbreaking projects in search ranking, content discovery, graph networks, and recommender systems. Your collaboration with ML infrastructure engineers will involve implementing algorithms to enhance business outcomes. Additionally, you will work closely with software engineers to ensure the scalability, reliability, and optimization of our models and infrastructure.

What You'll Work On:

• Providing technical leadership for the design, development, and deployment of advanced ML models, algorithms, and data pipelines to solve complex problems.
• Collaborating cross-functionally with other data scientists, engineers, and product managers to drive the successful implementation of machine learning projects.
• Having passion for working on development of modern search platforms.
• Leveraging machine learning, natural language processing, and graph analysis to address various problems in search and discovery domains.
• Independently solving moderately complex problems and writing clean, efficient, and sustainable code.
• Participating in code reviews, documentation, and the software engineering life cycle.

Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

• Strong programming skills in languages such as Python or C . and mastery of one Deep Learning framework (Pytorch, Tensorflow).
• Experience in solving real-world search problems, demonstrating outstanding problem-solving skills and taking full ownership of projects.
• MS/PhD in Computer Science, ML, NLP, or any related fields.
• Design and evaluation of search models using dual-encoder models for information retrieval.
• Experience developing large-scale commercial search systems.
• Familiarity with sparse and dense information retrieval methods. 
• Experience in engineering teams that build large-scale ML-driven projects.
• Experience leading cross-team engineering efforts to improve user experience in products.
• Passion for quickly learning new technologies.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent and equitable. Our total compensation consists of base pay bonus benefits perks.

The base pay range for this position is $181,000 - $252,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.