Solutions Engineer (AI/ML, Pre-Sales)
DatologyAI10 months ago
San Mateo, CA, USAMid Level
Responsibilities
- Embed with strategic customers to understand data curation needs, business challenges, and technical requirements.
- Lead end-to-end customer proof-of-concepts covering dataset analysis, training plan design, data curation, training behavior, evaluation outcomes, and results interpretation.
- Partner with customer ML teams to develop data and curation strategies across pre-training, mid-training, and post-training.
- Design and execute evaluations for base and post-trained models using appropriate benchmarks and metrics.
- Produce customer-ready reports covering methodology, metrics, baselines, ablations, conclusions, and productionization recommendations.
- Communicate technical findings and tradeoffs involving compute, latency, and deployment costs to ML experts and executive stakeholders.
- Collaborate with go-to-market, Engineering, and Research teams on customer experiences, demos, requirements, and product and model-training strategy.
- Provide technical guidance, training, and documentation to prospects.
- Travel to customer sites as needed for pre-sales engagements.
Requirements
- 4+ years of experience in software, ML platform, solutions, or customer engineering roles, including significant technical pre-sales and PoC experience.
- Strong practical expertise in ML model training across pre-training, domain-specific mid-training, and post-training, including supervised fine-tuning and reinforcement learning.
- Demonstrated ability to design, run, and interpret evaluations for base and post-trained models, including selecting metrics and benchmarks, using evaluation harnesses, analyzing results, and presenting findings.
- Strong programming skills in Python or an equivalent language, with the ability to prototype quickly and iterate with customers.
- Experience with data processing and distributed systems such as Spark, Ray, and data lakes or warehouses.
- Familiarity with PyTorch and Hugging Face ecosystems, distributed training concepts, and cloud, on-premises, and hybrid deployment environments.
- Familiarity with AWS, GCP, Azure, Docker, and Kubernetes.
- Strong communication skills for translating complex ML and systems topics to diverse audiences.
Benefits
- The role is based in San Mateo, California, with four days per week in the office.
- Required travel to customer sites may occur as needed.
- Health, medical, vision, and dental benefits are fully covered.
- 401(k) plan with a 4% company match.
- Unlimited paid time off.
- Paid parental leave of 12 weeks and six months of work-from-home flexibility.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily lunches and snacks are provided in the office.
- Relocation assistance is available for employees moving to the Bay Area.
Categories
Solutions Engineering
About DatologyAI
DatologyAI builds software that automatically curates and selects training data for deep learning, removing redundant or harmful examples across text, image, and other modalities. Its data-curation suite helps ML teams train better models with fewer labels and lower compute by optimizing large, unlabeled datasets. Founded in 2023 and headquartered in Redwood City, California, the privately held company sells its tools to organizations building large-scale AI systems across industries.