Senior Machine Learning Engineer
Senior Machine Learning Engineer
Posted on :
05-04-2025
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1 Vacancy
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Job Description
Why should I Apply:
At Sonar were a group of brilliant motivated and driven professionals working hard to help organizations build responsible secure highquality code quickly and systematically. We build solutions that dont just solve symptoms of problems we fix problems at the source source code to be specific.
We have a dynamic culture with employees worldwide and hub offices in the USA Switzerland the UK Singapore and Germany. We believe team members should have the opportunity 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 were all about the mission: provide solutions that deliver Clean Code.
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 cuttingedge research to transition smoothly into productionready AI features. You will work at the intersection of AI research and engineering ensuring that ML models can be efficiently deployed tested and iterated.
The impact you will have
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 AIpowered features into Sonar products. By optimizing the endtoend ML lifecycle you will directly contribute to the next generation of AIdriven developer tools.
On a daily basis you will
- 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 onpremise 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 researchfriendly 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.
The skills you will demonstrate
- 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 finetuned 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 problemsolving skills with the ability to troubleshoot performance bottlenecks in ML pipelines.
- Fluent in English with the ability to communicate complex technical topics effectively.
Why you will love it here:
Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!. We believe that the best idea wins and everyone has a voice.
We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laidback while still being passionate leaders in our domains. Our 550 SonarSourcers from 33 different nationalities can relate!
We embrace worklife balance. It is important to maintain a healthy worklife balance. This is why we have a flexible work policy that includes remote and inoffice hybrid work (minimum three days a week in the office Monday/Tuesday/Thursday).
We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an everchanging industry new skills are a must and were happy to help our team acquire them.
We prioritize Diversity Equity and Inclusion:
At Sonar we are a global workforce and recognize the value of different backgrounds and global cultures.
We are committed to creating a diverse work environment and are proud to be an equalopportunity employer. All qualified applicants will be considered for employment without regard to race colour religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.
Please note that applications submitted through agencies or thirdparty recruiters will not be considered.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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