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Software Engineer, Full-Stack

DatologyAIRedwood City, California

$180,000 - $300,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Compensation
$180,000-$300,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance

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 blog posts sharing our high-level results for text models and image-text models.

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 Redwood City, CA. We are in office 4 days a week.

About the Role

We are looking for seasoned 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 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 product development lifecycle for customer-facing data curation products as well as the new internal infrastructure and product experiences.

  • 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

  • Have meaningful experience with leading and building production full-stack and backend experiences 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 highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $300,000.

  • The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

We offer a comprehensive benefits package to support our employees' well-being and professional growth:

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

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

  • Unlimited PTO policy

  • 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.

Automate your job search with Sonara.

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FAQs About Software Engineer, Full-Stack Jobs at DatologyAI

What is the work location for this position at DatologyAI?
This job at DatologyAI is located in Redwood City, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at DatologyAI?
Candidates can expect a pay range of $180,000 and $300,000 per year.
What employment applies to this position at DatologyAI?
DatologyAI lists this role as a Full-time position.
What experience level is required for this role at DatologyAI?
DatologyAI is looking for a candidate with "Senior-level" experience level.
What benefits are offered by DatologyAI for this role?
DatologyAI offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Flexible/Unlimited PTO, Career Development, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at DatologyAI?
You can apply for this role at DatologyAI either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.