Forward Deployed ML Engineer, Snorkel AI
$200-250k
More information about location
1+ day a week in office
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
$200-250k
More information about location
1+ day a week in office
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 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
Desirable
- 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)
What the job involves
- 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
- 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
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-13% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES C
Apr 2021
$35m
SERIES B
Total funding: $135m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
Company values
- We cultivate autonomy across the entire team by being open about our goals, wins, and challenges.
- We get to answers fast, focusing on what works—not what's fancy.
- In our field of AI and software engineering, we believe that diverse thinkers increase collective insights and knowledge.
Company HQ
Centennial, Redwood City, CA
Articles
Leadership
Alex Ratner
(Co-founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 26 more jobs at Snorkel AI