At a Glance
- Tasks: Design and implement machine learning models to tackle real-world challenges.
- Company: Fast-growing AI startup with a collaborative culture.
- Benefits: Work in a dynamic environment with opportunities for growth and innovation.
- Other info: Ideal for those passionate about computer vision, graph theory, and symbolic AI.
- Why this job: Join a team solving complex problems using cutting-edge AI technologies.
- Qualifications: Experience in machine learning and a background in quantitative fields.
The predicted salary is between 60000 - 80000 £ per year.
Join a high-velocity team focused on solving complex technical challenges through applied machine learning. You will develop and deploy models that bridge the gap between theoretical research and production-grade products. This role offers the opportunity to work alongside intelligent problem solvers in a collaborative environment where cross-disciplinary expertise is highly valued.
Why this role is remarkable:
- Work on cutting-edge applications involving computer vision, graph theory, and symbolic AI in a fast-paced environment.
- Join a well-funded organization backed by top-tier VCs at a pivotal stage of their product evolution.
- Benefit from a culture that values diverse backgrounds in math, physics, and science alongside traditional computer science.
What you will do:
- Design and implement scalable machine learning models to solve real-world technical problems.
- Collaborate with engineering teams to integrate AI capabilities into production-ready software systems.
- Experiment with symbolic AI and graph theory to enhance the intelligence of existing platforms.
The ideal candidate:
- Has zero to seven years of experience with a strong background in an early-stage startup environment.
- Possesses applied exposure to computer vision, graph theory, or symbolic AI frameworks.
- Holds a degree in a quantitative field such as Computer Science, Mathematics, Physics, or Engineering.
Required Skills: Machine Learning, Software Engineering, Physics
Required Languages: English
Applied ML Engineer — Production AI (CV/Graph/Symbolic) employer: Jack & Jill
As a fast-growing AI startup based in San Francisco, we offer an exceptional work environment that fosters innovation and collaboration among talented individuals from diverse backgrounds. Our culture prioritises employee growth through hands-on experience with cutting-edge technologies in machine learning, while also providing the unique advantage of being part of a well-funded organisation at a pivotal stage of product evolution.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer — Production AI (CV/Graph/Symbolic)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving computer vision or graph theory. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice common interview questions and consider mock interviews to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our fast-growing team. Make sure to tailor your application to highlight your relevant experience in applied ML.
We think you need these skills to ace Applied ML Engineer — Production AI (CV/Graph/Symbolic)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Applied ML Engineer role. Highlight any projects or roles where you've tackled machine learning challenges, especially in computer vision or graph theory.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this position and how your background fits. Share specific examples of your work in applied machine learning and how you’ve contributed to team success in previous roles.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've solved complex problems using machine learning techniques, particularly in a startup environment.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning models, especially in computer vision, graph theory, and symbolic AI. Be ready to discuss specific projects you've worked on and how you tackled challenges using these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've solved complex technical problems in the past. Think about situations where you had to collaborate with others, as teamwork is key in a fast-paced startup environment.
✨Understand the Company Culture
Research the startup's values and mission. Be prepared to explain how your background in math, physics, or engineering aligns with their focus on diverse expertise. This shows you're not just a fit for the role, but also for the team.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects involving AI applications and how they envision the future of their products. This will show your enthusiasm and engagement.
