Job Description

Posted on:

November 5, 2024

What we’re building and why we’re building it. Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Fetch empowers consumers to live rewarded throughout their day, whether shopping in the grocery aisle, grabbing a bite at the drive-through, or playing a favorite mobile game. To date, we’ve delivered more than $1 billion in rewards and earned over 5 million five-star reviews from happy users. Our investors include SoftBank, Univision, and Hamilton Lane, in addition to partnerships with both challenger brands and Fortune 500 companies, all contributing to our mission of reshaping how brands and consumers connect in the marketplace. At Fetch, user and partner success are central to our operations, and we extend that same commitment to our employees. Ranked as one of America’s Best Startup Employers by Forbes for two consecutive years, Fetch fosters a people-first culture rooted in trust, accountability, and innovation, encouraging our employees to challenge ideas, think bigger, and bring fun to Fetch. Fetch is an equal employment opportunity employer.

The ML Engineering team embodies these values and focuses on enabling intelligent systems for end users, internal stakeholders, and external partners. We are looking for a Machine Learning Engineer Apprentice to contribute to this vision and join an exciting company in a high-growth phase. Fetch utilizes ML/AI for various applications such as receipt understanding (digital and physical), fraud detection, and evolving areas like ads ranking, recommendation, search, and discovery. Your role will center on developing ML models and the infrastructure necessary to operationalize them at scale, covering the full life-cycle of machine learning, including data management, model development, and deployment in large-scale production settings. Collaborating closely with backend, DevOps, and data scientists, you will create value in a fast-moving environment.

Are you capable of training and deploying a Transformer model but know when a simpler solution will do? Do you enjoy understanding how model architectures translate to flops and the milliseconds off a server? Have you spent entire days debugging inscrutable CUDA errors? If so, we’d love to hear from you. This is not a college internship, and applicants should have graduated by June 2024.

Technical Skills:

  • Excellent programming skills (primarily Python; proficiency in other languages is welcome)
  • Experience training ML models using frameworks like PyTorch, TensorFlow, etc.
  • Experience deploying a model in a production environment handling significant traffic (processing hundreds of events per second)
  • Familiarity with maintaining and working within sizable codebases (minimum thousand lines) over time

Bonus Points For:

  • Excellent written and verbal communication skills
  • Ability to problem solve independently and demonstrate initiative
  • Deep expertise in PyTorch/TensorFlow
  • Experience with model servers (TFServing/TorchServe/Triton)
  • Experience with ONNX, TensorRT, CUDA, OpenAI Triton
  • Familiarity with search, ranking, or ads
  • Comfort with streaming data and Kafka
  • Experience deploying applications in public cloud environments (e.g., AWS)

Apprenticeship Facts:

  • Duration: 3-month program with challenging and meaningful work
  • Gain incredible experience and professional growth as an engineer
  • No expectation of converting to a full-time position
  • Compensation: $40 per hour, 40 hours per week minimum
  • No health benefits during the apprenticeship
  • No H1B sponsorship available due to legal limitations
  • Onboarding buddy provided on your first day
  • FREE: Mac laptop, monitors, and necessary tools for success
  • Work on the same projects as permanent employees – treated equally!

Secret insights

Fetch is rolling with 977 employees, showing 30% growth in the last year. Engineering up 25%, indicating a tech priority. HR strong, so they value people. Ideal for AI talent seeking rapid advancement!