Datology AI

Datology AI

Software Engineer, Front-end

Redwood City · Mid

Sponsorship not specified$180k-$300kDetected 212 days ago
JavaScriptTypeScriptReactMachine LearningData EngineeringResearch

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odds of building a lasting career here

55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role68
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You will have a broad impact on the technology, product, and our company's culture.
  • Ensure that our products and systems are reliable, secure, and worthy of our customers' trust.

Responsibilities

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

Nice to have

  • 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.
  • 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).

Skills

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

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).
  • 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.
  • At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity.

Company info

  • 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.
  • For more details, check out our recent research on synthetic data scaling (BeyondWeb https://www.datologyai.com/blog/beyondweb) and pretraining with domain-specific data (The Finetuner's Fallacy https://www.datologyai.com/blog/finetuners-fallacy).
  • We raised a total of $57.5M in two rounds, a Seed and Series A.
  • This role is based in San Mateo, CA.
  • We are in office 4 days a week.
  • 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.
  • 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.
  • 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.
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