ML Solutions Engineer

6 days ago

San Francisco, California, United States Robust Intelligence Full time
Robust Intelligence's mission is to eliminate AI Risk. As the world increasingly adopts AI into automated decision processes, we inherit great risk.
Our flagship product is built to be integrated with existing AI systems to enumerate and eliminate risks caused by unintentional and intentional (adversarial) failure modes. With Generative AI becoming increasingly popular, new vulnerabilities and attacks present a significant threat to AI companies and their consumers. Our Generative AI Firewall provides a safety net against these failure modes.
At Robust Intelligence, we have built a multidisciplinary team of ML Engineers, AI security experts, and software engineers to advance the state of AI security. Together, we're building the future of secure, trustworthy AI.
About The Role
Our growing Customer Success team is looking for a passionate and enterprising Machine Learning Solutions Engineer. As an MLSE at Robust Intelligence, you will ensure our customers are successful and delighted throughout the customer lifecycle. This role is a highly visible technical expert who spans pre-sales and post-sales to drive customer acquisition, adoption, and expansion.
For prospective customers, you will partner with our Sales team as the technical lead, responsible to tailor product demonstrations that address business needs, overcome technical objections, and run high-quality, differentiated proofs of concept that establish the value of the RI platform. For signed customers, you will partner with our Customer Success team to drive onboarding, adoption, and expansion. You will serve as the customer's primary technical point of contact, advocating for their needs internally and coordinating across multiple Robust Intelligence teams as needed to ensure our customers thrive. As an a ML Solutions Engineer you will:
  • Build strong, meaningful relationships with our customers and proactively seek to understand their technical and business objectives
  • Drive technical engagement and adoption across the complete customer journey
  • Champion customer needs internally, advocating for them within Robust Intelligence and leveraging your customer knowledge to influence the product roadmap
  • Coordinate across multiple Robust Intelligence teams, including Product, Engineering, Sales, and Support to advance adoption, expansion, and other Customer Success priorities
  • Become a power user of the RI platform: deeply understand the user experience (using the APIs, navigating the GUI, integrating with different platforms, etc.)
  • Create and deliver tailored product demonstrations that address technical pain and show business value
  • Design high-quality, differentiated proofs of concept that establish the value of the Robust Intelligence platform
  • Scope customer engagements; investigate and understand customer needs
  • Build bespoke machine learning validation solutions using the RI platform
  • Work with customers to architect integrations with their existing machine learning stack
  • Work with customers to design best practices, processes, and frameworks for their organization
  • Gather, understand, and communicate customer feedback to RI's Product and Engineering teams
  • Own customer-facing technical communications to ensure a professional and concise message
What we look for:
  • At least five years of professional experience with machine learning, ML operations, data science, or a related field
  • Experience building ML models and putting them into production
  • Strong expertise in AI, ML, data science, or related spaces; general knowledge of statistics and applied ML
  • Knowledge of Python (or other programming languages)
  • Significant knowledge of the artificial intelligence ecosystem; a deep understanding of how data scientists and machine learning engineers develop and deploy AI models
  • Experience with tooling and platforms in the ML ecosystem (Huggingface, MLFlow, Databricks, DataRobot, etc.)
  • Self-motivated and excited to work at a startup; comfortable with ambiguity, eager to learn, and able to thrive with little to no direct, daily oversight
  • Strong communication skills (business fluency in spoken and written English)
  • Ability to travel about 25% of the time to meet with your accounts
Preferred qualifications:
  • Experience in customer success, sales, sales engineering, consulting, or other customer-facing fields
  • Familiarity with customer success and sales processes
  • Knowledge of REST, Kubernetes, Docker, and Unix
  • Familiarity with major public cloud platforms (e.g. AWS, Google Cloud Platform, Azure) and their ML products (AWS Sagemaker, GCP Vertex AI, etc.)
  • Ability to establish trust at the CxO level as well as with technology practitioners
  • Experience developing and delivering product demonstrations and leading proofs of concept
  • Bachelor's degree (or equivalent) in computer science, engineering, mathematics, statistics, or another quantitative field
Robust intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensures our employees' health and well-being. With RI's in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym.
Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and a long list more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We also have an education reimbursement program for individual learning.
What we offer:
We offer the opportunity to significantly contribute to shaping AI's future. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion, as building a diverse community is the key to succeeding in our mission. In addition to the goal and environment we offer:
- Competitive salary and company ownership through equity - Market-leading health, dental, and vision insurance for employees and dependents - Flexible Time Off Policy and Paid Parental/Family Leave - Education reimbursement program for Individual Learning - 401(k) Retirement plan - Commuter benefits - Immigration sponsorship - H1B and Green Card - Company lunches, dinners, and kitchens stocked with snacks and drinks - On-site gym and wellness program

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