Solutions Engineer (AI/ML, Pre-Sales)

About this role

DatologyAI seeks a technically expert Solutions Engineer to guide strategic customers through pre-sales engagements, designing and executing proof-of-concept projects that demonstrate how the company's data curation platform reduces training costs and improves model performance. You'll work hands-on with customer ML teams to connect data curation decisions to measurable improvements in model quality and efficiency across the full training lifecycle.

What you'll do

• Conduct deep technical discovery with strategic customers to understand their data curation needs, constraints, and business goals
• Design and lead end-to-end PoCs that test data curation impact on model quality, training speed, and deployment efficiency
• Partner with customer ML teams to plan datasets and curation strategies aligned with their training objectives
• Design evaluation plans, select appropriate benchmarks and metrics, and execute model evaluations for base and post-trained models
• Produce comprehensive evaluation reports documenting methodology, results, ablations, and productionization recommendations
• Communicate technical findings and tradeoffs to both ML engineers and executive stakeholders across the customer organization

What they're looking for

• ML model training expertise (pre-training, fine-tuning, reinforcement learning)
• Model evaluation and benchmarking design
• LLM/VLM architecture and training knowledge
• Technical pre-sales and proof-of-concept execution
• Data analysis and interpretation
• Customer communication and technical presentation
• Software engineering fundamentals
• Python or similar ML engineering languages

Benefits

• Work with cutting-edge AI/ML research and data curation technology
• 4 days per week in-office at Redwood City headquarters
• Collaborate with world-class researchers and investors (Geoff Hinton, Yann LeCun, Jeff Dean)
• Direct impact on strategic customer outcomes and product direction