𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟳𝟬 𝗟𝗣𝗔)
Experience: 3+ yrs
Location: Chennai, Tamil Nadu, India
As a Research Scientist / Research Engineer (Computer Vision & Generative), you will drive cutting‑edge AI research focused on computer vision and generative modeling, delivering novel solutions that push the boundaries of visual perception and synthesis. You will collaborate with cross‑functional teams to transform research insights into production‑ready applications, ensuring scalability, robustness, and real‑world impact. Your role will involve designing experiments, analyzing results, and iterating on models to achieve state‑of‑the‑art performance in diverse visual tasks. You will also publish findings in top-tier conferences and foster a culture of continuous learning and technical excellence within the organization.
Requirements
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Design, implement, and benchmark advanced computer vision algorithms for image understanding and generation.
• Develop and refine diffusion models and other generative frameworks tailored to specific application domains.
• Conduct rigorous experimental evaluation and ablation studies to validate model performance.
• Collaborate with software teams to integrate research prototypes into scalable production pipelines.
• Publish research papers and present at leading conferences to establish thought leadership.
• Mentor junior researchers and engineers, fostering a collaborative research environment.
• Identify and prioritize high-impact research problems that align with business objectives.
• Monitor emerging trends in AI and propose innovative solutions leveraging new techniques.
• Maintain comprehensive documentation of research methodologies and codebases.
• Participate in cross‑disciplinary projects to merge vision, NLP, and multimodal AI research.
𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁
• PhD or master’s degree in Computer Science, Electrical Engineering, or related field with a focus on computer vision or generative modeling.
• 3+ years of experience in AI research or engineering, preferably in a production setting.
• Proficiency with diffusion models, GANs, VAEs, and related generative architectures.
• Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Demonstrated ability to publish at least one paper in a top-tier CV or AI conference.
• Deep understanding of image processing pipelines and large‑scale training optimizations.
• Experience with cloud GPU workloads and distributed training frameworks.
• Excellent communication and teamwork skills, capable of translating complex ideas to diverse audiences.
• Proven track record of delivering end‑to‑end AI solutions from research to deployment.
• Passion for staying ahead of industry trends and continuously expanding technical horizons.
Skills Required
- PhD or master’s degree in Computer Science, Electrical Engineering, or a related field focused on computer vision or generative modeling
- 3+ years of experience in AI research or engineering
- Proficiency with diffusion models, GANs, VAEs, and related generative architectures
- Strong programming skills in Python
- Familiarity with PyTorch or TensorFlow
- At least one published paper in a top-tier computer vision or AI conference
- Deep understanding of image processing pipelines and large-scale training optimization
- Experience with cloud GPU workloads and distributed training frameworks
- Excellent communication and teamwork skills
- Track record of delivering end-to-end AI solutions from research through deployment
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
