Software Engineer, Full Stack

datologyai; San Mateo (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Unlimited PTO

Parental leave + WFH

Wellness stipend

Learning stipend

Lunch provided

Relocation assistance

Job summary

DatologyAI in San Mateo, CA seeks a Full Stack engineer who thrives in a fast-moving, iterative environment to build new products from the ground up. You will work closely with Researchers, Engineers, and Designers to shape the direction of our product and drive critical technical decisions.

You will contribute to core data curation products and internal tooling, impacting customers and the team daily. The role emphasizes ownership, quality, and collaboration, with ML/AI experience a plus.

Qualifications

• 4+ years of relevant experience.
• Leading and building production front-end systems that deliver major product initiatives.
• Proficiency in JavaScript/TypeScript, React, and Python.
• Care for quality, functionality, and user communication, down to the last page request.
• Experience maintaining a high-quality bar for design, correctness, and testing.
• Own problems end-to-end and learn what you miss to get the job done.
• Humble attitude, teamwork, and willingness to do whatever it takes to help the team succeed.
• Prior experience in ML/AI preferred but not required.

Responsibilities

• Own the full stack development lifecycle for customer-facing data curation products and internal tooling.
• Talk to customers and internal stakeholders to understand problems and design solutions.
• Collaborate with a cross-functional team of engineers, researchers, and designers to bring features to customers.
• Ensure products and systems are reliable, secure, and trustworthy.

Skills

JavaScript/TypeScript

React

Python

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 Full Stack 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 Researchers, Engineers, and Designers 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 stack 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.