Meet Fetch Engineering:
At Fetch, we are passionate about solving challenging problems and embracing ambiguity. Our engineering philosophy promotes adaptability and innovation over rigid adherence to rules. Our engineers thrive in complex environments, making well-informed decisions even in uncertain situations. We seek out the necessary information and focus on action and impact, while consistently upholding high technical standards. In this role, you will be a technical leader, shaping best practices to build world-class, user-facing technology. You will mentor fellow engineers, fostering technical growth and collaboration within the team. As a hands-on leader, you will actively contribute to the codebase and deliver features alongside your team.
About the Role:
As a Staff Machine Learning Engineer specializing in Search, you will design, build, and implement NLP-based systems that have a direct impact on the user experience. ML-based search models are used at Fetch to improve our ability to understand receipt data as well as power in-app search. When our search models get better, users get more points and Fetch earns more revenue!
Beyond technical implementation, you'll serve as a "tech lead of tech leads", which will put you in a position to influence the direction of multiple ML projects within this domain. Your skills and experience will level up the people around you and inform the vision of the Machine Learning team as Fetch deepens its investment into ML.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
In your Toolbox (Minimum Requirements):
7+ years of hands-on experience in building NLP and information retrieval systems for commercial applications
2+ years experience leading technical initiatives that span multiple teams
Demonstrated experience in building and deploying high-performance ML systems with specific attention to latency and throughput requirements
Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
Experience with large datasets, data pipelines, and deploying ML models to production environments.
Deep understanding of both traditional and vector-based search algorithms (from TF-IDF to HNSW and everything in between)
Excellent communication skills and the ability to translate technical concepts into business impact.
Ability to implement online/offline evaluation strategies to compare iterations of models.
Bonus Points:
Experience building search engines or Entity Resolution models.
Experience implementing vector databases (i.e. FAISS, Voyager, Pinecone, etc)
Experience with NLP tasks like fine-tuning LLMs, RLHF, prompting, and semantic search
Prior experience working in high-growth tech environments.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
Equity:We also offer employees equity in Fetch, so that everyone can benefit from Fetch's growth.
401k Match:Dollar-for-dollar match up to 4%.
Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
Continuing Education: Fetch provides ten thousand per year in education reimbursement.
Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
Paid Time Off:On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People's Day, as well as our year-end week-long break.
Robust Leave Policies:20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We'll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.