At a Glance
- Tasks: Develop cutting-edge multimodal models for real-time inference at scale.
- Company: Join Inworld, a leader in innovative machine learning solutions.
- Benefits: Competitive salary, equity, and comprehensive benefits package.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
- Why this job: Be at the forefront of technology and make a significant impact in ML.
- Qualifications: Strong expertise in high-performance systems, distributed systems, Kubernetes, and C++.
The predicted salary is between 140000 - 200000 £ per year.
Inworld is seeking a Full-Time ML Engineer to develop cutting-edge multimodal models. This role requires strong technical expertise in high-performance systems and experience with distributed systems, Kubernetes, and C++.
The base salary ranges from £140,000 to £200,000, plus equity and benefits. Candidates must have the legal right to work in the UK, as visa sponsorship is not available now.
Senior ML Engineer - Real-Time Inference at Scale employer: careers.bitkraft.vc - Jobboard
Inworld is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior ML Engineers to thrive. With competitive salaries, equity options, and a commitment to employee growth through continuous learning opportunities, Inworld empowers its team to push the boundaries of technology in a dynamic environment. Located in the UK, employees benefit from a vibrant tech community and access to cutting-edge resources, ensuring a rewarding and meaningful career.
Contact Details:
careers.bitkraft.vc - Jobboard Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Real-Time Inference at Scale
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Inworld on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects related to high-performance systems and distributed systems. We want to demonstrate our expertise in real-time inference and Kubernetes.
✨Tip Number 3
Ace the interview! Research common ML Engineer interview questions and practice coding challenges. We need to be ready to discuss our experience with C++ and how we tackle complex problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight our relevant experience for the Senior ML Engineer role.
We think you need these skills to ace Senior ML Engineer - Real-Time Inference at Scale
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with high-performance systems and distributed systems. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Kubernetes and C++!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing multimodal models and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Relevant Projects:If you've worked on any projects that demonstrate your skills in real-time inference or machine learning, make sure to include them. We love seeing practical examples of your work, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at careers.bitkraft.vc - Jobboard
✨Know Your Tech Inside Out
Make sure you’re well-versed in high-performance systems, distributed systems, and Kubernetes. Brush up on your C++ skills too! Be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to tackle real-time inference challenges during the interview. Think of examples where you've optimised algorithms or improved system performance. This will demonstrate your ability to think critically under pressure.
✨Understand the Company’s Vision
Research Inworld and their approach to multimodal models. Knowing their products and how they leverage ML can help you align your answers with their goals, showing that you’re genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and future developments in their ML strategies. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
