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- Tasks: Lead innovative projects in computer vision and AI for government applications.
- Company: Join Scale, a rapidly growing team transforming AI solutions globally.
- Benefits: Enjoy opportunities for travel, collaboration, and impactful work in AI.
- Why this job: Make a real difference in the AI movement while tackling ambitious challenges.
- Qualifications: 2+ years in model training; strong skills in computer vision and LLMs required.
- Other info: Quarterly travel to the Middle East to engage with clients.
The predicted salary is between 43200 - 72000 £ per year.
Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team generates, executes, and fosters Scale’s work outside the United States. There are three core types of work involved:
- Providing high-quality training data for research institutions building LLMs from scratch
- Partnerships, upskilling, and advisory
As a Machine Learning Research Engineer, you’ll be at the forefront of building models as a service, transforming real-world business problems through cutting-edge computer vision and large-vision language models. This is an extraordinary opportunity to take full ownership and make a significant impact in the data-centric AI movement.
We are looking for individuals who are passionate about AI, eager to drive innovation, and excited by ambitious challenges. Join us in revolutionizing government operations with AI and work on production use cases that truly harness the power of AI models to solve complex problems.
You will:
- Dive into and implement groundbreaking research in computer vision and large vision-language models.
- Design and build agent workflows that leverage customized models for downstream tasks, including hybrid solutions with LLMs.
- Translate customer needs into innovative AI solutions tailored for government applications.
- Work with vast, unstructured visual and multimodal datasets to develop robust models.
- Create and maintain robust evaluation systems.
- Collaborate closely with our data annotation teams to train models on high-quality datasets.
- Travel one week quarterly to engage with customers and understand their unique challenges firsthand.
Minimum Qualifications:
- At least 2+ years of model training, deployment and maintenance experience in a production environment.
- Strong skills in computer vision and/or large vision-language models.
- Willing and able to travel to client sites in the Middle East for one week each quarter.
Ideal Qualifications:
- Strong skills in NLP, LLMs, and deep learning.
- Experience working at a startup or in a forward-deployed role.
- Strong written and verbal communication skills to operate in a cross-functional team environment.
- Proficient in reading and writing in Arabic.
- Experience in dealing with large-scale AI problems.
- Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
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Machine Learning Research Engineer (Computer Vision), International Public Sector EPD United Kingdom employer: Scale AI, Inc.
Contact Detail:
Scale AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer (Computer Vision), International Public Sector EPD United Kingdom
✨Tip Number 1
Familiarize yourself with the latest advancements in computer vision and large vision-language models. Being well-versed in current research will not only help you during interviews but also demonstrate your passion for AI and innovation.
✨Tip Number 2
Engage with the AI community by attending conferences or webinars related to machine learning. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for positions like the one at Scale.
✨Tip Number 3
Showcase any relevant projects or research you've conducted, especially those that involve model training and deployment. Highlighting your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've translated customer needs into AI solutions in past roles. This aligns with the job's focus on tailoring innovative solutions for government applications, which is crucial for this position.
We think you need these skills to ace Machine Learning Research Engineer (Computer Vision), International Public Sector EPD United Kingdom
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in model training, deployment, and maintenance, especially in a production environment. Mention specific projects or roles where you utilized computer vision and large vision-language models.
Showcase Your Passion for AI: In your application, express your enthusiasm for AI and innovation. Share examples of how you've driven change or tackled ambitious challenges in previous roles, particularly in the context of government applications.
Demonstrate Communication Skills: Since strong written and verbal communication skills are essential, include examples of how you've successfully collaborated in cross-functional teams. Highlight any experiences where you translated complex technical concepts for non-technical stakeholders.
Include Research Publications: If you have published research in machine learning at significant conferences or journals, be sure to mention this in your application. It will strengthen your profile and demonstrate your expertise in the field.
How to prepare for a job interview at Scale AI, Inc.
✨Showcase Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and how it can transform government operations. Share specific examples of projects or research that ignited your passion and how you envision contributing to the data-centric AI movement.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with computer vision and large vision-language models in detail. Highlight any relevant projects where you trained, deployed, or maintained models, and be ready to explain the challenges you faced and how you overcame them.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice articulating complex technical concepts in a clear and concise manner. Be ready to discuss how you have collaborated with cross-functional teams and translated customer needs into innovative AI solutions.
✨Prepare for Real-World Applications
Think about how your skills can address real-world business problems, especially in the context of government applications. Prepare examples of how you've worked with unstructured datasets or developed evaluation systems, and be ready to discuss how these experiences can benefit Scale's mission.
