Research Engineer
- Pay
- $180,000 – $300,000 per year
- Location
- San Mateo, CA (Remote) · Hybrid
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 3+ years
- Listed
- 30 days ago
Skills & highlights for this role
- PyTorch
- Python
- Spark
- distributed training
Also useful
- Ray
- Dask
- Snowflake
- GPU clusters
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Unlimited pto
About the Role
As a Research Engineer, you will play a crucial role in conducting and enabling cutting-edge research and translating it into our core product pipeline. You will work closely with other members of the technical staff to develop and improve state-of-the-art data curation strategies. Your technical skills will accelerate our research and ensure that our product remains at the forefront of innovation.
What You'll Work on
- You'll build and scale the data processing and curation pipelines that operate over massive language, vision, and multimodal datasets, and make them fast, reliable, and cheap to run.
- You'll design the experimentation infrastructure that lets scientists iterate quickly at scale, turning a good idea into a running experiment in hours.
- Our work is guided by concrete customer needs and product outcomes. You'll take research results and harden them into production-grade systems that customers depend on.
- You'll profile and optimize large-scale training and data workloads, because at frontier scale, performance and cost are research constraints.
About You
- 3+ years building ML systems, data infrastructure, or large-scale distributed applications.
- Strong software engineering fundamentals, fluency in Python, and hands-on experience with PyTorch.
- Experience with distributed data processing and/or distributed training, using tools such as Spark, Ray, Dask, or Snowflake.
- Comfort operating large-scale compute, including GPU clusters and cloud infrastructure.
- Enough machine learning depth to collaborate substantively with researchers, not just implement their specs.
- A demonstrated track record of shipping systems that others rely on, whether through production infrastructure, open-source tools, or other artifacts.
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.
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.
From DatologyAI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Research Engineer role at DatologyAI?
The Research Engineer posting at DatologyAI states compensation of $180,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on DatologyAI's official career site.
Where is the Research Engineer job at DatologyAI located?
Yes, this Research Engineer opening at DatologyAI is listed as San Mateo, CA (Remote) (Hybrid). Always check DatologyAI's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Engineer at DatologyAI?
For the Research Engineer role, DatologyAI highlights 3+ years of relevant experience; experience with PyTorch, Python, Spark, distributed training. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Engineer position at DatologyAI?
This listing links directly to DatologyAI's Ashby application page. You can apply directly on DatologyAI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.