- Company: Get A Job.ai
- Location: Bochum
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team at Get A Job.ai is representing a confidential software analysis organization seeking an AI Research Engineer to join their Data & AI team in Bochum. This role offers the opportunity to pioneer next-generation code analysis capabilities by applying cutting-edge machine learning and large language model techniques to real-world developer tools used by millions worldwide.
Responsibilities
- Lead research and innovation in machine learning, deep learning, and LLMs as they apply to the software development lifecycle, identifying opportunities to enhance product capabilities
- Design, prototype, and validate novel ML models that identify and resolve complex bugs, vulnerabilities, and code quality issues beyond traditional static analysis approaches
- Develop and implement advanced LLM-based solutions, including Retrieval-Augmented Generation (RAG) for contextual code analysis, fine-tuning models on proprietary codebases, and exploring agentic systems for automated code remediation
- Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale
- Collaborate closely with engineering and product teams to integrate successful ML prototypes into production systems, ensuring they meet the needs of a global user base
- Communicate and document complex technical concepts and research findings to both technical and non-technical stakeholders
What We're Looking For
- Advanced academic background (Master's or PhD) in Computer Science, Machine Learning, or a related quantitative field
- Strong industry experience in machine learning with solid understanding of modern software engineering practices and tools
- Solid programming skills in Python and hands-on experience with core ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face); familiarity with Java is a plus
- Proven experience in applied machine learning with a strong focus on Natural Language Processing (NLP) or, ideally, Programming Language Processing (PLP)
- Hands-on experience with modern LLM architectures and techniques, including fine-tuning strategies (e.g., LoRA, QLoRA), advanced prompt engineering, building and optimizing RAG pipelines, and working with vector databases and semantic search
- Experience with large-scale data processing frameworks and cloud infrastructure (e.g., AWS)
- Track record of driving research projects from initial ideation to demonstrable prototype with a high degree of autonomy
- Excellent communication skills in English with the ability to explain complex scientific topics clearly and concisely
- Willingness to relocate to or reside in Bochum, Germany (relocation assistance available for the right candidate)
How We Work With You
When you apply through Get A Job.ai, one of our recruiters will review your profile and conduct an initial screening conversation. If there's a strong match, we'll submit your candidacy to our client for consideration. Please apply exclusively through our platform and do not contact the client directly, as we manage the entire recruitment process on their behalf.
Pay
Compensation details will be discussed during the screening process based on your experience and qualifications.
Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity in their teams.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Terms used in this posting
- relocation assistance
- The employer may help cover some or all costs of moving to take the job, such as moving expenses or temporary housing.
Explore Get A Job.ai online
Working in Bochum, Nordrhein-Westfalen
Weather right now in Bochum, Nordrhein-Westfalen: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:
North Rhine-Westphalia or North-Rhine/Westphalia, commonly shortened to NRW, is a landlocked state in Western Germany. With more than 18 million inhabitants, it is the most populous state in Germany. Apart from the city-states, it is also the most densely populated state in Germany. Covering an area of 34,084 km2 (13,160 sq mi), it is the fourth-largest German state by size.
Note: Germany observes a public holiday on Oct 3 — German Unity Day.
🇩🇪 Relocation safety for Germany: Very Safe — via Warnely, CC BY 4.0
National unemployment rate in Germany: 3.7% — via World Bank
GDP per capita in Germany: $60,496 — via World Bank
Consumer price inflation in Germany: 2.2% (annual) — via World Bank
Real GDP growth in Germany: 0.2% (annual) — via World Bank
Statutory minimum wage in Germany: €2,343/month — via Eurostat
Cost of living in Germany: 9.1% above the EU average — via Eurostat
Job vacancy rate in Germany: 2.8% — via Eurostat
Average hours worked per year in Germany: 1,332 — via OECD
Nearby green space: 6 parks within 1.5km — closest is Appolonia-Pfaus-Park (518m). via OpenStreetMap
Nearest public transit: Bongardstraße (transit stop, 49m). via OpenStreetMap
- Elevation 97m (318 ft)
Source: Wikipedia (state)
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role AI Research Engineer (f/m/d)
- Employer Get A Job.ai
- Location Bochum
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 13, 2026
- Apply by October 14, 2026
- Country Germany
- Overview Full job description on this page (478 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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