Research Engineer

DatologyAI

. Build and scale data processing and curation pipelines over massive language, vision, and multimodal datasets .

Posted 10/16/2026full-timeSan Mateo • California • United StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and scaling data processing pipelines and machine learning systems, with strong proficiency in Python and hands-on experience with PyTorch. Ability to optimize large-scale data workloads and collaborate effectively with researchers to translate research into production-grade systems.

Highest-signal resume keywords

Machine Learning Systems DevelopmentData Infrastructure EngineeringPython ProgrammingDistributed Data ProcessingProduction Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ProcessingSoftware EngineeringLarge-Scale Distributed ApplicationsOptimizationExperimentation Infrastructure DesignData Workload ProfilingProduction Systems DeploymentOpen-Source Tools DevelopmentCollaboration with Researchers

Tools & Technologies

PyTorchSparkRayDaskSnowflakeGPU ClustersCloud Infrastructure

Industry Keywords

Data CurationLarge-Scale ComputeMultimodal DatasetsData PipelinesResearch Collaboration

Tech Stack

Tools & technologies

CloudPythonPyTorchRaySpark

About the role

Key responsibilities & impact

Build and scale data processing and curation pipelines over massive language, vision, and multimodal datasets
Make data pipelines fast, reliable, and inexpensive to run
Design experimentation infrastructure that enables scientists to iterate quickly at scale
Translate research results into production-grade systems that customers depend on
Profile and optimize large-scale training and data workloads
Collaborate closely with technical staff and researchers to develop and improve state-of-the-art data curation strategies

Requirements

What you’ll need

3+ years building ML systems, data infrastructure, or large-scale distributed applications
Strong software engineering fundamentals
Fluency in Python
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
Demonstrated track record of shipping systems that others rely on, through production infrastructure, open-source tools, or other artifacts
Must answer whether employment visa sponsorship in the United States is required now or in the future

Benefits

Comp & perks

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
Meaningful equity