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For Companies At a Glance
- Tasks: Design and build innovative AI systems that make a real-world impact.
- Company: Leading AI development company with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible remote work, performance bonuses, and learning opportunities.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Join a team at the forefront of AI and shape the future of technology.
- Qualifications: 6+ years in AI engineering, deep learning expertise, and strong communication skills.
We are hiring a Member of Technical Staff for AI Engineering — a senior individual contributor role at the frontier of AI development. The role combines research-grade rigor with production engineering — building the systems that turn cutting-edge AI into real products.
Key Responsibilities
- Design and build novel AI systems, including training, evaluation, and inference
- Lead research-engineering projects across model architecture, alignment, and reliability
- Build and maintain large-scale training and inference infrastructure
- Develop evaluation frameworks for novel AI capabilities
- Publish or present internal technical work that advances the practice
- Set technical direction and mentor other AI engineers
Required Skills and Qualifications
- 6+ years in machine learning research or AI engineering at significant scale
- Deep expertise in modern deep learning, including transformer architectures
- Strong PyTorch (or equivalent) skills and distributed training experience
- Track record of shipping AI systems with measurable impact
- Excellent written communication, including technical documentation
- PhD in CS/ML or equivalent industry experience preferred
What You'll Bring
- Curiosity about how models behave and why they fail
- Rigor in following guidelines and flagging ambiguity early
- Strong written communication, including ability to document findings clearly
- Comfort working asynchronously across time zones
What We Offer
- Fully remote, flexible work hours
- Performance-based bonus structure
- Annual learning
Member of Technical Staff (AI Engineering) (Remote) employer: OnBoard
Contact Detail:
OnBoard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff (AI Engineering) (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those with measurable impact. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI engineering questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Member of Technical Staff (AI Engineering) (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Member of Technical Staff in AI Engineering. Highlight your experience with machine learning and deep learning, especially any projects that showcase your skills in building AI systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that align with the job description.
Showcase Your Communication Skills: Since excellent written communication is key for this role, make sure your application materials are clear and well-structured. Use technical documentation examples if you have them, as they can really demonstrate your ability to convey complex ideas.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at OnBoard
✨Know Your AI Stuff
Make sure you brush up on your deep learning knowledge, especially around transformer architectures. Be ready to discuss your past projects and how you've applied machine learning at scale. This is your chance to showcase your expertise!
✨Showcase Your Communication Skills
Since excellent written communication is key for this role, prepare to demonstrate how you document your findings. Bring examples of technical documentation you've created or presentations you've given. Clear communication can set you apart!
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice explaining complex concepts in simple terms, and be ready to discuss how you approach problem-solving in AI engineering. They’ll want to see your thought process!
✨Emphasise Your Curiosity
This role values curiosity about model behaviour and failure. Be prepared to discuss instances where you’ve explored unexpected results or pushed the boundaries of your work. Show them that you’re not just a coder, but a thinker who loves to learn!