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Member of Technical Staff - AI Engineering (Remote)

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Member of Technical Staff - AI Engineering (Remote)
Member of Technical Staff - AI Engineering (Remote)
Role: Member of Technical Staff - AI Engineering Location: Remote (Work from Anywhere) Job Type: Full-Time Compensation: $160K - $300K/yr
About the Role
We are hiring for one of our clients, seeking a Member of Technical Staff (AI Engineering) to work on a full-time basis. The role focuses on designing, developing, and deploying AI/ML models at scale while optimizing performance for large-scale inference systems. Responsibilities include architecting solutions for high-performance computing environments and collaborating with cross-functional teams to integrate AI capabilities into production systems.
Key Responsibilities
- Design and implement scalable AI/ML systems, including model training, inference optimization, and deployment pipelines
- Develop and maintain high-performance computing infrastructure for AI workloads, ensuring efficient resource utilization
- Collaborate with software engineers to integrate AI models into production applications and services
- Optimize AI model performance through techniques such as quantization, pruning, and hardware acceleration
- Research and implement cutting-edge AI/ML techniques to improve system efficiency and accuracy
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills & Qualifications
- Proficiency in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, or JAX)
- Experience with distributed computing frameworks (e.g., Apache Spark, Dask) for large-scale data processing
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
- Familiarity with AI model deployment tools (ONNX, TensorRT) and optimization techniques for inference
- Strong understanding of algorithms, data structures, and software engineering best practices


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More About the Opportunity
This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of next-generation AI systems. The position involves solving complex technical challenges while collaborating with a diverse team of experts in AI, software engineering, and infrastructure.
Equal Opportunity Employer
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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