Solutions Engineer (AI/ML, Pre-Sales)
DatologyAI7 months ago
Foster City, CA, USAMid Level
H1B Sponsor
Base Salary
$230k - $300k/yr
Responsibilities
- Embed with strategic customers to understand data curation needs, business challenges, and technical requirements.
- Lead end-to-end customer PoCs covering dataset analysis, training plan design, data curation, evaluation, and results interpretation.
- Partner with customer ML teams to develop data and curation strategies.
- Design and execute evaluation plans for base and post-trained models, including benchmark and metric selection.
- Produce customer-ready reports covering methodology, metrics, baselines, ablations, conclusions, and productionization recommendations.
- Communicate technical results and tradeoffs involving compute, latency, and deployment cost to ML experts and executive stakeholders.
- Collaborate with GTM, Engineering, and Research teams on customer experiences, demos, requirements, and product and model-training strategy.
- Provide technical guidance, training, and documentation to help prospects assess the platform.
Requirements
- 4+ years of experience in software, ML platform, solutions, or customer engineering roles, including significant technical pre-sales and PoC experience.
- Practical expertise in ML model training across pre-training, domain-specific mid-training, supervised fine-tuning, and reinforcement learning.
- Experience designing, running, and interpreting evaluations for base and post-trained models using appropriate metrics, benchmarks, and evaluation harnesses.
- Strong programming skills in Python or an equivalent language, with the ability to prototype and iterate quickly with customers.
- Experience with data processing, distributed systems, and large-scale datasets, including technologies such as Spark, Ray, and data lakes or warehouses.
- Familiarity with PyTorch, Hugging Face ecosystems, distributed training, and cloud, on-premises, and hybrid deployment environments.
- Familiarity with AWS, GCP, Azure, Docker, and Kubernetes.
- Strong communication skills for explaining complex ML and systems topics to diverse audiences.
- Ability and willingness to travel to customer sites as needed for pre-sales engagements.
Benefits
- 100% covered medical, vision, and dental benefits.
- 401(k) plan with a 4% company match.
- Unlimited PTO.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily lunches and snacks are provided in the office.
- Relocation assistance for employees moving to the Bay Area.
- Based in Redwood City, California, with four days per week in the office.
Categories
Solutions Engineering
About DatologyAI
DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.