DatologyAI · 1 day ago
Solutions Engineer (AI/ML, Pre-Sales)
Redwood City, CA
Full-time
Onsite
Mid, Senior Level
$230K/yr - $300K/yr
4+ years expDatologyAI is a company focused on optimizing data for machine learning models through their innovative data curation suite. The Solutions Engineer will work closely with strategic customers to understand their data needs and design scalable solutions that highlight the impact of DatologyAI’s platform.
Artificial Intelligence (AI)Data CenterData IntegrationDatabaseInformation Technology
Responsibilities
Embed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail
Lead end-to-end customer PoCs that connect data curation, training behavior, evaluation outcomes, including dataset analysis, training plan design, and results interpretation
Partner with customer ML teams to map data & curation strategy
Design and execute evaluation plans for base and post-trained models, selecting appropriate benchmarks/metrics, and running model evaluations
Produce customer-ready evaluation reports: methodology, metrics, baselines, ablations (e.g., curated vs raw), conclusions, and recommended next steps for productionization
Communicate technical results to both ML experts and exec stakeholders, including tradeoffs in compute, latency, and deployment cost
Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, deliver compelling demos, align on requirements, and bring customer insights into actionable model training and product strategies
Provide technical guidance, training, and clear documentation to ensure prospects can confidently assess the solution
Qualification
Required
4+ years of experience in software, ML platform, solutions, or customer engineering roles, with significant experience driving technical pre-sales engagements and PoCs
Strong practical expertise in ML model training, including how models are trained and improved across pre-training, domain-specific mid-training, and post-training, such as supervised fine-tuning and reinforcement learning
Demonstrated ability to design, run, and interpret model evaluations for base and post-trained models: choosing metrics/benchmarks, building or using evaluation harnesses, analyzing results, and presenting findings clearly with customers
Strong programming skills in Python (or equivalent); able to prototype quickly and iterate with customers
Experience with data processing / distributed systems (e.g., Spark, Ray, data lakes/warehouses) and comfort working with large-scale datasets
Familiarity with modern ML infrastructure: PyTorch/Hugging Face ecosystems, distributed training concepts, and deployment environments across cloud/on-prem/hybrid
Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
Strong communication skills, with the ability to translate complex ML and systems topics for diverse audiences
Required to travel to customer sites as needed to support pre-sales engagements
Benefits
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
Company
DatologyAI
DatologyAI is an AI-data curation startup that develops deep learning tools for automatic selection in data training.
11-50 employees
H1B Sponsorship
DatologyAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
Funding
Current Stage
Early StageTotal Funding
$57.65MKey Investors
FelicisAmplify Partners
2024-05-08Series A· $46M
2024-02-22Seed· $11.65M
Leadership Team
Ari Morcos
CEO and Co-Founder
Bogdan Gaza
Co-Founder & CTO
Recent News
felicis.com
2025-12-30
Company data provided by crunchbase