Software Engineer, Front-end

DatologyAI; San Mateo (CA); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Unlimited PTO

Parental Leave (12 weeks) with WFH 6mo

Wellness stipend $2k/year

Learning stipend $1k/year

Lunches and snacks in office

Job summary

DatologyAI in San Mateo, CA is seeking a front-end engineer to build new products in an iterative, fast-moving environment. You will own the frontend lifecycle for data-curation products and contribute to internal tooling, collaborating closely with the founders on product direction.

You will work with engineers, researchers, and designers to deliver features, ensure reliability and security, and maintain a high quality bar. 4+ years of experience with React/TypeScript and Python are required.

Qualifications

• 4+ years of frontend experience.
• Experience building production front-end systems that deliver on major product initiatives.
• Proficiency in JavaScript/TypeScript, React, and Python.
• Care about quality, functionality, and user experience down to the last page request.
• Experience maintaining a high-quality bar for design, correctness, and testing.

Responsibilities

• Own the full front-end development lifecycle for customer-facing data curation products, from design through implementation, and new internal tooling interfaces.
• Talk to customers and internal stakeholders to understand problems and design solutions.
• Collaborate with engineers, researchers, designers, etc to bring new features and research capabilities to customers.
• Ensure that products and systems are reliable, secure, and worthy of customers' trust.

Skills

Frontend engineering

React

JavaScript/TypeScript

Python

Collaboration

ML/AI experience

Attention to detail

End-to-end ownership

Tools

Git

CI/CD

Job description

About the Company

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.

At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).

We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.

This role is based in San Mateo, CA. We are in office 4 days a week.

About the Role

We are looking for Front-end engineers who love building new products in an iterative and fast-moving environment. In this role, you will build software from the ground up to solve critical bottlenecks for DatologyAI customers and internally. As one of our key hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.

What You'll Work On

You will contribute to developing the core product that customers use for curating their datasets and the visualizations around it, as well as the internal tooling that our team uses daily to develop the core product. You will have a broad impact on the technology, product, and our company's culture.

• Own the full front-end development lifecycle for customer-facing data curation products, from design through implementation, as well as new internal tooling interfaces.

• Talk to customers and internal stakeholders to understand their problems and design solutions to address them.

• Collaborate with a cross-functional team of engineers, researchers, designers, etc to bring new features and research capabilities to our customers.

• Ensure that our products and systems are reliable, secure, and worthy of our customers' trust.

About You

• 4+ years of relevant experience

• Have meaningful experience with leading and building production front-end systems that deliver on major product initiatives

• Proficiency in JavaScript/TypeScript, React, other web technologies, and Python.

• Care deeply about quality, functionality, and the humans we’re communicating to by sweating the details, down to the last page request.

• Experience maintaining a high-quality bar for design, correctness, and testing.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed

• Have prior experience in ML/AI (preferred but not required).
  

Compensation

At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $300,000.

• Starting pay is based on job-related skills, experience, qualifications, and interview performance.

Benefits:

• 100% covered health benefits (medical, vision, and dental).

• 401(k) plan with a generous 4% company match.

• Unlimited PTO policy

• Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.

• Annual $2,000 wellness stipend.

• Annual $1,000 learning and development stipend.

• Daily lunches and snacks are provided in our office!

• Relocation assistance for employees moving to the Bay Area.