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For Companies At a Glance
- Tasks: Build and optimize AI systems for seamless human-AI workflows.
- Company: Join a stealth-mode startup revolutionizing AI orchestration with a groundbreaking platform.
- Benefits: Enjoy equity, flexible work arrangements, and a competitive salary.
- Why this job: Be a core team member driving AI transformation and making a direct impact.
- Qualifications: 5+ years in machine learning, strong software engineering skills, and proficiency in Python.
- Other info: Work closely with the CTO and be part of a founding team.
The predicted salary is between 72000 - 84000 £ 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 during networking events or informal meetups. Engaging in discussions about these topics can help you connect with like-minded professionals and potentially catch the attention of our team.
✨Tip Number 2
Participate in online forums or communities focused on AI and machine learning, especially those that discuss orchestration platforms. Sharing your insights and asking questions can help you build a reputation in the field and may lead to opportunities to connect with us.
✨Tip Number 3
Consider contributing to open-source projects related to cloud-based AI systems or LLMs. This not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate for our founding team.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI orchestration and cloud technologies. Being knowledgeable about current developments will allow you to engage in meaningful conversations with our team and show your passion for the role.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your experience with machine learning, multi-agent systems, and cloud-based solutions.
Showcase Relevant Experience: In your CV and cover letter, emphasize your 5+ years of experience in machine learning and applied research. Provide specific examples of projects where you developed autonomous AI agents or worked with reinforcement learning.
Highlight Technical Skills: Clearly outline your proficiency in Python, cloud systems (especially AWS), and modern ML frameworks. Mention any relevant certifications or courses that demonstrate your technical expertise.
Express Your Passion: Convey your enthusiasm for AI-driven transformation and your desire to be part of a founding team. Discuss how your problem-solving abilities and comfort in fast-paced environments make you a great fit for this role.
How to prepare for a job interview at Stealth AI Startup
✨Showcase Your Experience with AI Systems
Be prepared to discuss your previous work with machine learning and multi-agent systems. Highlight specific projects where you developed autonomous AI agents or worked on reinforcement learning, as this will demonstrate your relevant expertise.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Use examples from your past experiences to illustrate how you approached complex problems, particularly in fast-paced environments. This will show your ability to think critically and adapt quickly.
✨Familiarize Yourself with the Company’s Vision
Research the startup's mission and the Agentic platform they are developing. Understanding their goals and how your role as a Machine Learning Engineer fits into that vision will help you articulate your interest and alignment with the company.
✨Prepare Questions About the Role
Have insightful questions ready about the team dynamics, the technology stack, and the challenges they face. This not only shows your enthusiasm for the position but also helps you gauge if the company culture and expectations align with your career goals.
