
Senior Applied Researcher
3 days ago
We are seeking an accomplished Lead Data Scientist to spearhead foundational research and development in applied machine learning.
Job DescriptionAs a senior data scientist, you will work closely with the science manager to chart technical roadmaps and mentor junior staff. You will be responsible for envisioning solutions to real-world business use-cases, collaborating with cross-functional stakeholders, and driving the development of large-scale ML applications.
You will quickly propose and validate hypotheses to direct product roadmaps, own time-bound solutioning, and brainstorm innovative solutions to complex problems. Your attention to detail and strong communication skills will enable you to effectively communicate findings to stakeholders of varied backgrounds.
Additionally, you will engage in collaborative efforts to meet ambitious goals, innovate and advance State-Of-The-Art solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business.
Required Skills and Qualifications- A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.
- Technical familiarity with Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection, etc.
- Candidates with prior publications in ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones).
- Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (e.g. PyTorch) in terms of training large, optimized, scalable, ML models.
- Medical Health Cover for you and your family including unlimited online doctor consultations.
- Access to mental health experts for you and your family.
- Dedicated allowances for learning and skill development.
- Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.
- Twice a year appraisal.
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