At a Glance
- Tasks: Join us to develop cutting-edge machine learning solutions for space networking challenges.
- Company: Aalyria, a pioneering tech company in aerospace communications.
- Benefits: Competitive salary, health insurance, equity, and flexible remote work options.
- Other info: Collaborate with top research centres and enjoy dynamic career growth opportunities.
- Why this job: Make an impact in space technology while working with innovative AI-driven networks.
- Qualifications: Masters or PhD in relevant fields and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Aalyria is a leading technology company that supplies laser communications technology and temporospatial software‑defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar and deep‑space communications. We are revolutionizing the orchestration and management of planetary mesh networks using any radio or optical spectrum, any orbit, and any hardware across land, sea, air, and space.
Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. This role will involve applying cutting‑edge machine learning algorithms to solve some of Spacetime’s most challenging temporospatial networking and resource management problems. The ideal candidate should demonstrate not only technical depth in machine learning but also the ability to communicate clearly with others at different levels of technical depth and across different functions.
Key Responsibilities:- Research state‑of‑the‑art machine learning algorithms to solve network orchestration problems.
- Develop machine learning training infrastructure using Kubernetes clusters, and manage MLOps tooling.
- Develop and maintain documentation related to novel algorithms developed by the team.
- Integrate AI technology with other components of the Spacetime platform to ensure end‑to‑end functionality.
- Interact with potential and existing customers on a regular basis, serving as a technical communication expert for machine learning related technologies developed at Spacetime.
- Masters or PhD degree in computer science, mathematics, statistics, or other fields related to machine learning.
- Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools).
- Strong technical communication skills, and ability to communicate across multiple functions.
- Ability to write clean, maintainable, and efficient code.
- A strong desire to pitch and sell our amazing technology!
- Experience working in the wireless communication, satellite communications and/or software defined networking space.
- Prior experience working in technical sales and/or pitching new products.
- Experience writing tests for both software and machine learning algorithms.
- Experience with one or more of: C, C++, Go.
- Opportunity to lead high‑impact, innovative projects in the space technology and digital infrastructure domain.
- A dynamic, international environment collaborating with leading research centres and industrial partners.
- Competitive compensation package based on experience.
- Hybrid working policy with flexible arrangements.
- Exposure to cutting‑edge technologies in space‑ground integration, AI‑driven networks, and cloud mission control.
- Competitive salary
- Pension
- Health insurance
- Equity
- Applicants must have the right to work in the United Kingdom.
- Work Location: Remote working within the UK.
Aalyria is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Qualified applicants from all backgrounds are encouraged to apply.
Machine Learning Engineer - Space Networking (Remote UK) employer: Dormont Manufacturing Co
Aalyria is an exceptional employer, offering a unique opportunity to work at the cutting edge of space technology and digital infrastructure. With a dynamic international environment, competitive compensation, and a strong commitment to employee growth and inclusivity, you will be part of a team that values innovation and collaboration. The hybrid working policy allows for flexibility, making it an ideal workplace for those looking to make a meaningful impact in the aerospace industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Space Networking (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to networking or AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical communication skills. Practice explaining complex concepts in simple terms, as you'll need to interact with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Engineer - Space Networking (Remote UK)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with machine learning algorithms, Python, and any relevant projects that showcase your skills in a way that aligns with what Aalyria is looking for.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about space technology and how your background makes you a perfect fit for the Spacetime team. Don’t forget to mention your communication skills and how you can bridge technical gaps.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional or academic setting, make sure to include them. Describe the challenges you faced, the solutions you implemented, and the impact of your work. This will demonstrate your hands-on experience and problem-solving abilities.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to the right people. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Algorithms
Make sure you brush up on the latest machine learning algorithms, especially those relevant to network orchestration. Be ready to discuss how you've applied these in past projects and how they can be used to tackle challenges at Aalyria.
✨Show Off Your Coding Skills
Since you'll need to write clean and efficient code, practice coding problems in Python and get familiar with libraries like PyTorch or TensorFlow. During the interview, don’t hesitate to share examples of your code or projects that highlight your technical prowess.
✨Communicate Clearly
Aalyria values strong communication skills, so practice explaining complex concepts in simple terms. Think about how you would describe your work to someone without a technical background, as this will be crucial when interacting with customers and team members.
✨Pitch Your Ideas
Prepare to pitch your ideas confidently! Since the role involves technical sales, think about how you can present Aalyria's technology in an engaging way. Highlight its benefits and potential impact on the aerospace industry to show your enthusiasm and understanding of the market.
