Senior Machine Learning Engineer, SonarSource
Code quality management platform
Be an early applicant
Code quality management platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To enable developers and development teams to write clean code and remediate existing code organically, so that they can focus on the work they love and maximize the value they generate for businesses.
Role
Who you are
- Academic background with a university degree in Computer Science, software engineering, Machine Learning, or a related field
- Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI, Flask)
- Good understanding of ML model architecture and LLMs, including how they are trained, fine-tuned, and deployed on AWS platform
- Familiarity with distributed model training and model optimization
- Experience deploying ML models and LLMs in cloud environments and local environments
- Proficiency with AWS infrastructure, including EC2, S3, SageMaker and Bedrock
- Ability to build effective ML pipelines for research and development
- Experience with ML model lifecycle tools (e.g., MLflow, DVC, Weights & Biases)
- Proficiency with DevOps/MLOps best practices, including CI/CD, version control (Git), docker and IaC
- Excellent problem-solving skills, with the ability to troubleshoot performance bottlenecks in ML pipelines
- Fluent in English, with the ability to communicate complex technical topics effectively
What the job involves
- We are looking for an ML Engineer to support AI research and development, focusing on experimenting, deploying and scaling ML models (especially LLMs)
- As part of our AI Core Team, you will enable cutting-edge research to transition smoothly into production-ready AI features. You will work at the intersection of AI research and engineering, ensuring that ML models can be efficiently deployed, tested, and iterated
- You will pave the way for AI innovation by developing efficient, scalable, and reliable ways to deploy and manage machine learning models. Your work will enable our AI researchers and software engineers to iterate faster, explore new ideas, and bring AI-powered features into Sonar products
- By optimizing the end-to-end ML lifecycle, you will directly contribute to the next generation of AI-driven developer tools
- Collaborate with AI researchers and engineers to bridge the gap between research and production
- Deploy, manage, and monitor LLM/ML models in both cloud and on-premise environments, ensuring smooth integration into our research and production pipelines
- Support engineers in integrating ML models into production, ensuring a smooth handoff from research to product teams
- Automate ML workflows with CI/CD pipelines for model deployment and continuous integration
- Design and maintain flexible ML workflows to support rapid experimentation
- Enable fast iteration by setting up tools for model tracking, logging, and comparison (e.g., MLflow, DVC, Weights & Biases)
- Manage research-friendly cloud environments that allow easy deployment and experimentation
- Optimize model inference for speed, efficiency, and scalability while balancing research flexibility
- Ensure AI models and experiments are reproducible by structuring model storage, versioning, and benchmarking practices
Salary benchmarks
Our take
It has been reported that bug-prone software costs enterprises close to $3 trillion every year, and with developers now handling higher volumes of code than ever, SonarSource’s products automatically ensure that only clean code is embedded when they update software.
The company was founded in Switzerland in 2008, and has become the market leading platform for code quality control. While its first decade was encouraging, the period from 2018 and today has been an astounding period of hyper growth.
It has earned Unicorn status, opened up offices across Europe, as well as in the US and Asia, and counts the likes of Nasa, Microsoft, and IBM amongst its customer base. Indeed, the vast majority of the Fortune 100 use SonarSource.
With its position at the head of the market established, SonarSource is aiming to expand its headcount and continue its momentum, especially in the US and Asia-Pacific, where the tech industry is booming
Freddie
Company Specialist at Welcome to the Jungle
Insights
39% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2022
$412m
LATE VC
Nov 2016
$42.8m
LATE VC
Total funding: $454.8m
Company benefits
- Safe work culture - we value respect, kindness, and the right to fail.
- Flexible hours - we schedule our days in order to be effective at work, while also being able to enjoy life’s important moments.
- Great people - we value people skills as much as technical skills and strive to keep things friendly and laid back. Still, that does not prevent us to be passionate leaders in our domains. Our 300+ SonarSourcers from 33 different nationalities can relate!
- Work-life balance - keeping a healthy work-life balance is important. This is why we have a hybrid work policy and some people prefer working some days from home.
- Always keep learning - in an ever-changing industry, learning new skills is a must, and we're happy to help our team to acquire them.
Company values
- Continuous innovation: Our R&D teams continuously innovate to make it easier for all developers to deliver clean code.
- Continuous feedback: Community inputs help us build new features that are impactful and valuable to users.
- Continuous enhancements: To strive to continuously improve and enhance existing features to provide more value to customers.
Company HQ
Vernier, GE
Articles
Leadership
Olivier Gaudin
(CEO)Co-founded SonarSource in 2008 alongside Freddy Mallet and Simon Brandhof, who have since moved on. Previously worked at JP Morgan and Deutsche Bank, before becoming Head of Development at Marketing Services company CIFEA DMK.
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