AI Engineering
Working Student, AI Engineering (all genders)
Working Student · Part-time
Akilaris develops AI-enabled space intelligence and collision-avoidance capabilities for safer satellite operations. We are a Bremen-based European team working at the intersection of software, AI, aerospace engineering and operations. We describe the work as it is: priorities can evolve, safety and evidence come before hype, and no contribution is used operationally without the appropriate review.
You work on bounded engineering tasks with review and context. Depending on current priorities, this may involve datasets, evaluation tooling, experiments or tests; access to operational or customer data is not guaranteed.
Your Mission
- Improve data validation, reproducibility and documentation for approved datasets
- Implement evaluation scripts, baselines, regression tests or analysis dashboards
- Run controlled experiments and record both positive and negative findings
- Contribute reviewed Python code, tests and technical documentation
- Help investigate model or pipeline failures without hiding uncertainty
What You Bring
- Enrolment in computer science, data science, mathematics, physics, aerospace or a related programme
- Solid Python, Git and basic testing practice
- Coursework or project evidence in machine learning, statistics or optimisation
Helpful, Not Required
- Experience with a modern ML framework, data tooling or model evaluation
- Interest in astrodynamics, simulation or dependable software
- Responsible experimentation with LLM APIs or agent tooling
Practical Details
- 10–20 hours per week during the semester, agreed around your studies
- University enrolment for the full duration of the working-student engagement
- Regular presence in Bremen by agreement
What to Expect
- Purposeful work on safer and more sustainable satellite operations
- A small, cross-functional European team with short feedback loops and direct access to the context needed for your work
- Responsibility matched to experience, with review and support rather than unverified autonomy
- The role-specific work model stated in this posting; student schedules are planned around agreed university commitments
- Candid feedback, room to learn across disciplines and respect for well-reasoned disagreement
Our Hiring Process
The exact process depends on the role and is explained at the start. It typically includes:
- a structured first review against the published core criteria,
- a role-related conversation and, where useful, a short time-boxed work sample — never unpaid customer or production work,
- a mutual alignment discussion covering mission, collaboration, work model and terms.
Pay Transparency
We discuss the specific pay and objective criteria transparently before making an offer. Where the law requires earlier or additional information, we follow those requirements. We do not ask about salary history.
How to Apply
Email your CV or current profile and three to five sentences about your role-related contribution to info@akilaris.com with the subject line “Application: Working Student, AI Engineering (all genders)”. For technical or creative roles, you may link one relevant work sample.
Please do not send a photo, date of birth, marital status, salary history, nationality, health information or unrelated certificates. We do not need them for the first review.
We assess applications fairly and without discrimination, based on the role requirements and each person’s potential. We discuss reasonable adjustments to the application process confidentially.
Applicant Data Notice
We process only the data you send for assessing your application and communicating during the hiring process. The controller is Akilaris UG (haftungsbeschränkt), c/o Clockwise, Martinistraße 62–66, 28195 Bremen, info@akilaris.com. The legal bases are section 26 BDSG and Article 6(1)(b) GDPR; where data is retained temporarily for legal defence, Article 6(1)(f) GDPR applies.
After an unsuccessful process, we generally delete application data after six months unless a legal duty or your explicit consent permits longer storage. Access is limited to people and instructed service providers who need it for the process.
Your rights include access, rectification, erasure, restriction and complaint to a data-protection authority. More information is available in our privacy policy.
Location
Bremen, Germany, Hybrid, 10–20 hours/week.