Sonar · 1 month ago
Forward Deployed Engineer, ML
San Francisco, CA
Full-time
Onsite
Entry, Mid Level
2+ years expSonar is a company dedicated to enhancing code quality and security for developers through innovative machine learning solutions. The Forward Deployed Engineer, ML will be responsible for architecting and implementing ML solutions for enterprise clients, ensuring successful deployments and fostering strong client relationships.
Cyber SecurityDeveloper ToolsOpen SourceSoftware
No H1B
Responsibilities
Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements
With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable
Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven
You will need to explain complex technical details and concepts to both technical and non-technical audiences
Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data
Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air-gapping)
Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector-specific data security standards and performance SLAs
Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others
Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments
Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success
Qualification
Required
Bachelor's degree in Computer Science or a related field
2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience
Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments
Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high-performance software, involving cloud or on-premise ML workloads
Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI)
Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance
Benefits
Flexible comprehensive employee benefit package.
23 days of PTO per calendar year (on a pro-rated basis depending on your employment start date), with additional time provided for sickness, life events and holidays.
Exciting 401(k) plan that has a 4% match, fully vested on day one of participation.
Fully paid parking in the heart of downtown Austin, Texas.
Monthly catered events, and team events
Company
Sonar
Sonar provides open-source and commercial code analyzers to help developers manage code quality.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$457MKey Investors
Insight Partners
2022-04-26Series B· $412M
2016-11-29Series Unknown· $45M
Leadership Team
Nathan Jones
VP, Public Sector
Lynne Doherty
President Field Operations
Recent News
DevOps.com
2026-01-16
2026-01-14
2026-01-07
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