Aquent
Software engineer [208694]
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Software engineer [208694]
Research Engineer (AI) – Partnering with a Pioneering Technology Company
Aquent is partnering with a groundbreaking artificial intelligence leader that is driving transformative advances in AI technology. This cutting-edge organisation is seeking visionary Research Engineers to join their core AI research team, working on projects that push the boundaries of human-level intelligence and redefine human-computer interaction.
In this critical role, you’ll be more than a contributor—you’ll shape the future of AI. You’ll tackle complex systems challenges, contribute to groundbreaking research, and see your work implemented at unprecedented scale, directly influencing cutting-edge product development and setting new industry benchmarks.
As a Research Engineer, your focus will be advancing the science and engineering of machine learning systems, with a particular emphasis on large language models. This opportunity provides a unique chance to collaborate with world-class researchers and cross-functional partners, translating research into impactful product advancements that shape the company’s strategic direction.
Key Responsibilities
- Conduct cutting-edge research to push the state of the art in machine learning systems.
- Design, develop, and implement novel methods, tools, and infrastructure in large language models.
- Collaborate with researchers and cross-functional teams to communicate research plans, progress, and results.
- Propose, gather, and synthesise requirements for an evolving feature roadmap.
- Develop and deliver high-quality code in collaboration with the engineering team.
- Publish research findings that significantly impact product development and industry standards.
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Requirements
Must-Have Qualifications
- Hands-on experience in one or more of the following areas:
- Machine learning
- Recommendation systems
- Pattern recognition
- Data mining
- Artificial intelligence
- Experience developing machine learning models at scale, including programmatic interaction with and post-training of large language models.
- Strong Python programming skills with hands-on experience using frameworks like PyTorch.
- Ability to execute complex experiments involving large AI models and datasets.
- Demonstrated capacity to translate technical insights into actionable business recommendations.
- A Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field (or equivalent practical experience).
Nice-to-Have Qualifications
- Direct experience in generative AI and large language model research.
- A PhD or research-focused Master’s degree in machine learning-related fields.
About Aquent Talent
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Aquent Talent connects top-tier talent in marketing, creative, and design with the world’s leading brands.
Our eligible professionals benefit from:
- Subsidised health, vision, and dental plans
- Paid sick leave
- Retirement plans with an employer match
- Free online training via Aquent Gymnasium
Aquent is an equal-opportunity employer. We assess applicants based on qualifications without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Our culture celebrates diversity, inclusivity, and creating an environment where diverse perspectives thrive.
Client Overview
Our Client is the world’s largest social media company, operating major B2B and B2C advertising and media platforms, alongside a nonprofit initiative. With a global mission to connect people, they serve over two billion users and are rapidly shaping the digital landscape.
Aquent is committed to enhancing inclusivity and is proudly an equal-opportunity employer. We actively encourage applications from underrepresented groups and are dedicated to providing reasonable accommodation throughout the hiring process for applicants with disabilities or neurodivergence. If you require assistance during any stage of the process, please contact us.
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