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- Tasks: Join a founding team to build and optimize AI systems for seamless human-AI workflows.
- Company: Be part of a stealth-mode startup revolutionizing AI orchestration with a groundbreaking platform.
- Benefits: Enjoy equity, flexible work arrangements, and a competitive salary package.
- Why this job: Make a direct impact on product strategy while working in a fast-paced, innovative environment.
- Qualifications: 5+ years in machine learning, strong software engineering skills, and proficiency in Python and cloud systems.
- Other info: Work closely with the CTO and be at the forefront of AI-driven transformation.
The predicted salary is between 72000 - 108000 £ per year.
Machine Learning Engineer (LLM) – Founding Team Member Location: London (Hybrid) Salary: Six-figure + Equity The Opportunity Join a stealth-mode startup redefining AI orchestration with a revolutionary Agentic platform, creating seamless workflows between human and AI agents. Backed by successful founders with a proven track record, this role is your chance to be at the forefront of AI-driven transformation. About the Role As a founding Machine Learning Engineer, you’ll work directly with the CTO to build and optimize AI systems that coordinate complex tasks between human and AI agents. This role is essential in architecting scalable, production-ready solutions. Key Responsibilities: Develop autonomous AI agents for our orchestration platform. Build scalable, cloud-based systems (AWS), focusing on performance and reliability. Design intelligent task planning and coordination systems. Integrate various AI models and databases for efficient data management. What We’re Looking For: 5+ years in machine learning or applied research. Experience with multi-agent systems (reinforcement learning, etc). Strong software engineering, data structures, and LLM experience. Proficiency in Python, cloud systems, and modern ML frameworks. High agency, problem-solving abilities, and comfort in fast-paced environments. What We Offer: Equity and Ownership from day one. Flexible Work Arrangements and a competitive salary package. Direct Impact on product and business strategy as a core team member.
Senior Machine Learning Engineer employer: Stealth AI Startup
Contact Detail:
Stealth AI Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with multi-agent systems and reinforcement learning in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will resonate well with our focus on AI orchestration.
✨Tip Number 2
Familiarize yourself with our Agentic platform and the challenges it aims to solve. Being able to discuss how your skills can directly contribute to building scalable, cloud-based systems will set you apart during discussions with our CTO.
✨Tip Number 3
Demonstrate your problem-solving abilities by preparing examples of how you've tackled complex tasks in fast-paced environments. This will show us that you can thrive in our dynamic startup culture.
✨Tip Number 4
Engage with the latest trends in machine learning and AI orchestration. Being knowledgeable about current advancements will not only impress us but also help you articulate how you can drive innovation within our team.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Understand the Company and Role: Dive deep into the startup's mission and the specifics of the Machine Learning Engineer role. Familiarize yourself with their Agentic platform and how it aims to redefine AI orchestration.
Highlight Relevant Experience: Emphasize your 5+ years in machine learning, particularly any experience with multi-agent systems and reinforcement learning. Make sure to showcase your proficiency in Python and cloud systems like AWS.
Showcase Problem-Solving Skills: Provide examples of how you've tackled complex problems in fast-paced environments. This is crucial for demonstrating your high agency and adaptability, which are key traits they are looking for.
Tailor Your Application: Customize your CV and cover letter to reflect the specific responsibilities and qualifications mentioned in the job description. Use relevant keywords to ensure your application stands out.
How to prepare for a job interview at Stealth AI Startup
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning, particularly in multi-agent systems and reinforcement learning. Highlight specific projects where you've developed autonomous AI agents or worked with LLMs, as this will demonstrate your fit for the role.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Use the STAR method (Situation, Task, Action, Result) to articulate how you've approached complex problems in the past, especially in fast-paced environments.
✨Familiarize Yourself with Their Technology Stack
Research the cloud systems they use, particularly AWS, and be ready to discuss your experience with scalable, cloud-based solutions. This shows that you are proactive and genuinely interested in the role.
✨Emphasize Collaboration and Communication
As a founding team member, you'll need to work closely with the CTO and other team members. Share examples of how you've successfully collaborated on projects, emphasizing your ability to communicate complex ideas clearly.
