Machine Learning Scientist (AI for Code)

Sonar WorkFromHome

Stellenbeschreibung:

Machine Learning Scientist (AI for Code)

Sonar, Bochum, North Rhine-Westphalia, Germany

Why Apply

At Sonar, we build solutions that fix code issues at the source. We’re a group of motivated professionals helping organizations build responsible, secure, high-quality code quickly. Our culture values diversity, inclusion and continuous learning.

The Impact You Will Have

What You Will Do Daily

Spearhead Research & Innovation: Stay on the cutting edge of ML, Deep Learning, and LLMs applied to SDLC, identify novel opportunities to enhance our products.
Develop Advanced AI Models: Design, prototype, validate novel ML models that identify and resolve complex bugs, vulnerabilities and code smells.
Build LLM-Powered Features: Implement advanced LLM solutions, including Retrieval-Augmented Generation, fine‑tuning on proprietary codebases, exploring agentic systems.
Engineer Data Pipelines: Build robust pipelines to gather, process, and version code‑centric datasets for training and evaluation at scale.
Translate Prototypes to Products: Collaborate with engineering and product teams to integrate ML prototypes into Sonar’s products.
Communicate & Evangelize: Articulate complex technical concepts and research findings to technical and non‑technical stakeholders.

The Experience That You Need

Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or related quantitative field.
Strong industry experience in machine learning, with solid understanding of modern software engineering practices.
Solid programming skills in Python and hands‑on experience with core ML/DL frameworks (PyTorch, TensorFlow, Hugging Face). Familiarity with Java is a plus.
Proven experience in applied ML, focusing on NLP or PLP.
Hands‑on experience with modern LLM architectures and techniques (Fine‑tuning, prompt engineering, RAG pipelines, vector databases, semantic search).
Experience with large‑scale data processing frameworks and cloud infrastructure (e.g., AWS).
Experience driving research projects from ideation to demonstrable prototype with high autonomy.
Excellent communication skills in English and ability to explain complex topics clearly.

Culture & Benefits

Diverse, inclusive culture where the best idea wins and everyone has a voice.
Flexible work policy: remote and in‑office hybrid, minimum three days a week in office.
Growth mindset: continuous learning and education supported.
Work‑life balance and flexible remote options.

EEO Statement

We are a global workforce and pride ourselves as an equal‑opportunity 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. Applications submitted through agencies or third‑party recruiters will not be considered.