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Forward Deployed Engineer, ML

Job in Genf, Geneva, Switzerland
Listing for: Sonar
Full Time position
Listed on 2025-12-13
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Genf

Who is Sonar?

Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies.

Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, Master Card, Siemens, and T‑Mobile.

We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily.

We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly.

And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals.

At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations.

Why You Should Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer‑written, AI‑generated, or from third parties.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster.

The

Impact

You Will Have:

You will be the main technical architect responsible for how our most strategic enterprise clients and partners implement and deploy our machine learning solutions. As one of our first group of Forward Deployed ML Engineers, you will establish our ML solutions for organizations concerned with the quality, security, performance, and cost of coding models. You will leverage your deep ML expertise and technical skills to ensure successful, production‑grade implementations, ultimately driving rapid market adoption through proven on‑site technical success and client satisfaction.

What

You Will Do Daily:
  • End‑to‑End Ownership:
    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 product ionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable.
  • Subject Expert:
    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.
  • Influence Model Training & Tuning:
    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).
  • Develop Deployment Strategy:
    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…
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