About the Role:
The ML Engineering team embodies these values and works with a laser-focused objective to enable intelligent systems for end users, internal stakeholders, and external partners. We are looking for a Senior Machine Learning Engineer to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. Among other things, Fetch uses ML/AI to power receipt understanding (digital and physical), fraud detection, and we’re rapidly evolving in the space of ads ranking, recommendation, search, and discovery. Machine learning is core to our product and we’re working to make it an even bigger part of the company.
Your focus will be on the intersection of developing ML models and the infrastructure needed to operationalize them at scale. The ML Team at Fetch is responsible for the full life-cycle of machine learning. This includes data labeling/collection/management, model development, and deploying to large scale production settings. We work closely with backend, devops and data scientists on focused teams. You’ll be expected to create value in a fast moving environment and that might mean at any given moment deep diving into one of these stages of the pipeline
Are you capable of training and deploying a Transformer model but know when a simpler solution will do? Do you like knowing how model architectures translate to flops and the milliseconds off a server? Have you lost entire days debugging inscrutable CUDA errors? If you answered yes to these questions we’d love to hear from you.
Technical Skills:
- Excellent programming skills (we use a lot of Python in this problem space but proficiency in other languages are equally welcome)
- Experience training ML models using a Python framework like Pytorch, TensorFlow, etc.
- Experience deploying a model in a production environment with significant traffic. We process 100s of events per second in our production pipelines
- Experience deploying applications in public cloud environments like AWS etc.
Bonus Points For:
- Excellent written and verbal communication skills
- Ability to problem solve independently and demonstrate initiative
- Deep PyTorch/Tensorflow expertise
- Experience with model servers like TFServing/TorchServe/Triton
- Experience with ONNX, TensorRT, CUDA, OpenAI Triton
- Experience with search, ranking, or Ads
- Statistics experience, including experiment design, A/B testing, and causal inference
Compensation:
- At Fetch, we offer competitive compensation packages to the exceptional folks we hire. The base salary range is $160,000 - $220,000. We also offer all employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
- Equity
- 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!
