Senior AIML Research Engineer
Senior AIML Research Engineer
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Job Description
Role Overview:
Push the boundaries of AI innovation while contributing to impactful research and guiding the next generation of publications. We are seeking a Senior Research Engineer to join our AI research team. In this role you will work on cuttingedge AI technologies contribute to the development of transformative solutions and lead research initiatives that result in high impact publications. This role is perfect for someone passionate about applying advanced AI concepts to solve realworld challenges publishing their work in toptier venues and mentoring others in the pursuit of groundbreaking research. Youll collaborate with scientists engineers and crossfunctional teams to deliver innovative solutions while contributing to the broader AI research community.
Core Responsibilities:
Conduct advanced research in AI domains such as Generative AI Agentic AI Cognitive AI architectures call transcription and large language models; Drive the development of new algorithms models and techniques that push the boundaries of AI technology.
Work closely with engineering teams to transition research findings into scalable productionready solutions; Develop prototypes and proof of concept systems that demonstrate the applicability of research findings to business problems.
Publish research in toptier AI conferenes and journals (e.g. NeurIPS ICML CVPR ACL); Present findings at conferences workshops and internal forums to showcase advancements and foster knowledge sharing.
Mentor junior scientists and engineers in conducting highquality research and writing impactful publications; Provide technical guidance and support to ensure research aligns with both academic and business goals.
Partner with crossfunctional teams to align research priorities with business needs; Work closely with product and engineering teams to design AI solutions that are both innovative and practical
Ensure all research and solutions adhere to responsible AI principles prioritizing safety.
Qualifications:
Advanced degree (Post Doctorate or PhD in Computer Science AI Data Science or related field
PhD or Masters degree in a relevant field of study such as Computer Science Cognitive Science Mathematics Statistics Physics Electrical & Computer Engineering.
At least 5 years of experience in AI/ML research in industry or academic setting.
Experience with machine learning development lifecycle and AI/ML methods such as Transformers Diffusion Models SHAP LLM and GenAI etc.
Deep understanding of cuttingedge AI research topics such as multiagent systems generative models or cognitive architectures
Strong software engineering capabilities and handson experience with various machine learning and deep learning frameworks including numpy scikitlearn keras PyTorch and Tensorflow
A strong understanding of the realworld advantages and drawbacks of various algorithms and the ability to measure success
Ability to write clean understandable code that follows leading industry standards and practices and is welldocumented and to build easily reproducible models
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling inperson learning collaboration and connection. We believe our missiondriven and highly collaborative culture is a critical enabler to support longterm client outcomes and enrich the employee experience.
Required Experience:
Senior IC
Employment Type
Full-Time
