Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

About Taskrabbit:

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love.

Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

• Taskrabbit is a remote-first company with employees distributed across the US and EU
• 5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits
• DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
• DataBird journal’s “Best Places” Best Companies for Women, #4 2019 and #1 2020

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. 

You’ll love working here because:

• Taskrabbit is a Remote-First Company. We value flexibility and choice but also stay committed to regular in-person connection.
• The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
• The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
• The Perks. Taskrabbit offers US employees employer-paid health insurance and a 401k match with immediate vesting. Taskrabbit offers EU employees medical insurance. We offer all of our global employees, generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. 

Taskrabbit’s commitment to Diversity and Inclusion:

An Active Commitment to Equity within our Company and Platform.

We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. 

Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.