3 hours ago
Responsibilities
- Research, design, implement, optimize, and deploy deep learning models for perception and control applications.
- Read and implement deep learning papers and adapt models and algorithms to internal use cases.
- Develop and maintain enterprise backend applications, APIs, and integrations with language models and NLP technologies.
- Train, fine-tune, benchmark, and optimize machine learning and open-source models, including large-scale distributed training.
- Optimize neural networks and preprocessing/postprocessing code for embedded-device execution.
- Gather, transform, process, and analyze large, complex datasets using advanced analytical methods.
- Build and iteratively prototype scalable data and analysis pipelines.
Requirements
- Be currently enrolled full time in an undergraduate computer science or related degree program and graduate by June next year.
- Maintain a GPA of at least 8.0; top JEE Advanced rankings and a consistently strong academic record are preferred.
- Have a strong interest in machine learning, NLP, generative AI, language understanding or generation, representation learning, systems programming, data engineering, data processing, streaming databases, or data visualization.
- Demonstrate strong coding skills and the ability to independently take on tasks.
- Have experience with SQL and programming languages such as Python, Cala, or R.
- Have experience with or familiarity with Python, PyTorch, TensorFlow, and Keras.
- Have experience with statistical methods such as linear models, multivariate analysis, stochastic processes, and sampling methods.
Benefits
- Six-month remote internship with full-time summer work and an average of 20–30 hours per week during the semester.
- Monthly stipend of Rs 65,000.
- Coaching and mentorship from accomplished leaders.
- Access to a broad professional network.
- Top-performing residents may meet the co-founders and team in the Bangalore office and receive full-time opportunities.
Categories
About Ema
Ema is a suite of AI employees for HR, IT and Finance. She doesn't just automate workflows — she redesigns the work around your outcome and executes it across every enterprise system. Proven at scale across the world's largest enterprises.