AI Researcher
2 days ago
Location:
Hyderabad | Full-Time
About EQTY LYFE
At EQTY LYFE, we're building technology that dismantles systemic inequities through data-driven solutions, ethical innovation, and human-centered design. We blend AI, social impact, and cultural intelligence to deliver products that elevate historically marginalized communities. We don't just talk about equity — we engineer it.
We're seeking a cutting-edge AI Researcher who thrives at the intersection of artificial intelligence and social impact. You'll work across research, product, and strategy to architect next-generation AI models and systems that prioritize fairness, accountability, and transparency.
What You'll Do
Research and develop novel AI models focused on ethics, bias mitigation, and equity-aware algorithms
Evaluate existing ML/AI models for fairness, accuracy, and interpretability
Collaborate with product, design, and engineering teams to bring research to life in product features
Lead internal efforts around Responsible AI practices and publications
Write research papers, white papers, or patents that contribute to both academia and industry
Prototype innovative AI tools for language, vision, or decision-making tasks
Stay current on trends in LLMs, generative AI, explainable AI (XAI), and socially-aware ML
Who You Are
You're deeply passionate about tech for good and applying AI to real-world inequality
You have experience publishing or presenting research (academic or industry)
You're confident working with language models (LLMs), deep learning, or statistical methods
You're deeply curious and always seeking answers others overlook
You thrive in start-up or fast-paced environments with autonomy and ownership
Qualifications
Graduate or Masters in IT or CS
Proven experience in applied machine learning and AI research
Experience with Python, PyTorch or TensorFlow, HuggingFace Transformers
Strong understanding of algorithmic fairness, ethics in AI, or human-centered ML
Excellent communication skills — written and verbal
Bonus Points For:
Experience working with underrepresented communities or social impact tech
Publications in top-tier conferences (NeurIPS, ICML, ACL, etc.)
Prior work in explainable AI (XAI) or human-AI collaboration
Knowledge of causal inference, RLHF, or fairness-aware ML
Compensation & Benefits:
Competitive salary
Mental health days, and a humane approach to work
A mission-driven team that actually walks the talk on equity.
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