Forward Deployed ML Engineer

Posted 24 Days Ago
Redwood City, CA
Junior
Artificial Intelligence • Machine Learning
The Role
The Software Engineer on the Forward Deployed ML team will collaborate with the Ops team to develop innovative ML solutions for data annotation and quality checks. Responsibilities include rapid prototyping, scripting, dashboarding, and ensuring efficient delivery of projects that leverage the company's core AI platform.
Summary Generated by Built In

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

We’re building a new team called the Forward Deployed ML (FDML) team. Building on the core platform team’s developments, the FDML team will focus on project-specific adjustments and automations to meet customer and task-specific needs. Our goal is to customize and implement ML solutions for automating data annotation and quality checks. We’ll work closely with the delivery manager, using our machine learning and software skills to ensure efficient delivery on critical ML data annotation projects.
Location: Redwood City or San Francisco 

Main Responsibilities

For this role, there would be a lot of interaction with the Ops team to understand their immediate needs and proposing/implementing innovative solutions to get them what they need built on top of our core platform. This includes rapid prototyping using LLMs, scripting, dashboarding, and data munging.

Required Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 2-5 years of professional experience in software development, preferably with a focus on backend development and data-intensive applications.
  • Proven track record of building, deploying, and maintaining APIs and microservices in production environments.
  • Python coding proficiency
  • Hands-on experience working with relational databases for complex data queries and schema design.
  • Experience with developing and optimizing machine learning pipelines or integrating Large Language Model (LLM) inference systems into applications.
  • Proficiency in FastAPI for API development.
  • Expertise in Pandas and NumPy for data manipulation and analysis.
  • Experience with containerization using Docker and Kubernetes
  • Familiarity with OpenAI APIs or other LLM-related tools for AI/ML use cases.

Preferred Qualifications

  • 7+ years of professional software engineering experience
  • Experience at a startup
  • Experience with LLM prompting, LLM evaluation, and LLM related frameworks.
  • Familiarity with LLM inference pipelines and model serving frameworks (e.g., Hugging Face Transformers, Triton).
  • Knowledge of non-relational databases (e.g., MongoDB, Redis).

The salary range is $180,000.00 - $240,000.00.

Be Your Best At Snorkel

 

Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.

 

Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.

 

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Top Skills

Python
The Company
HQ: Redwood City, CA
120 Employees
Hybrid Workplace
Year Founded: 2019

What We Do

Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.

Why Work With Us

The founding team spent over half a decade researching programmatic labeling, weak supervision, and other techniques to break through one of the biggest bottlenecks in AI: the lack of labeled training data. This research has resulted in Snorkel research project and 60+ peer-reviewed publications. Snorkel has developed and deployed its technology

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