Software Engineer

Overview

Partner with Aquent to join a leading technology innovator dedicated to pushing the boundaries of artificial intelligence. This organization is at the forefront of advancing AI research, committed to making fundamental breakthroughs that enable us to better interact with and understand our world. Your work will directly contribute to accelerating the journey towards human-level intelligence, making a profound impact on future technologies.

Are you a visionary Research Engineer eager to tackle the most complex systems challenges in AI? This is your chance to join a pioneering team where you will not only make fundamental advances in machine learning systems but also apply your groundbreaking ideas at an unprecedented scale. We’re looking for someone who thrives on innovation and is passionate about shaping the future of AI, driving significant impact on product development and the broader technological landscape.

**Responsibilities:**
* Carry out cutting-edge research to advance the science and technology of machine learning systems.
* Design methods, tools, and infrastructure to push forward the state of the art in large language models.
* Collaborate with researchers and cross-functional partners, effectively communicating research plans, progress, and results.
* Suggest, collect, and synthesize requirements to create an effective feature roadmap.
* Code deliverables in tandem with the engineering team.
* Publish research results and contribute to research that impacts product development.

**Must-Have Qualifications:**
* Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
* Experience with developing machine learning models at scale, including programmatically querying large language models (LLMs) and LLM post-training.
* Programming experience in Python and hands-on experience with frameworks such as PyTorch.
* Experience writing software and executing complex experiments involving large AI models and datasets.
* Proven experience in translating technical insights into actionable business recommendations.
* Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

**Nice-to-Have Qualifications:**
* Direct experience in generative AI and large language model (LLM) research.
* PhD degree or a research-focused Master’s degree in machine learning areas.