Cellular Machine Learning Software Engineer
Cellular Machine Learning Software Engineer
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1 Vacancy
Job Description
- Bachelors degree in Computer Science Electrical Engineering or equivalent majors.
- 3 years industry experience in researching and developing AI / machine learning solutions for commercial products.
- Experience in supervised and unsupervised learning methods.
- Expertise in implementing different Machine Learning algorithms one or more of Deep Learning Reinforcement Learning Tree-based models Graphical Models RNN/LSTM Transformers.
- Experience building machine learning models trained on large datasets making use of industry-grade data & training pipelines.
- Good understanding of algorithm complexity and experience in carrying out performance vs. complexity trade-off analysis.
- Strong proficiency in Python and ML frameworks (e.g. PyTorch or TensorFlow) for data pre-processing ML model training and hyper parameter tuning.
- Masters or PhD degree in Computer Science Electrical Engineering or equivalent majors.
- Hands-on work with LLMs including experience building or fine-tuning LLMs for software engineering tasks is a plus.
- Understanding of prompt engineering and retrieval-augmented generation (RAG) is a plus.
- Familiarity with current generative AI ecosystem (e.g. ChatGPT Claude) and experience with using LLMs for tools and workflows is a plus.
- Research and publication history in the AI/ML field (e.g. ICLR NeurIPS CVPR ICCV/ECCV industry lab publications).
- Ability to communicate effectively both written and verbal with cross-functional teams.
Employment Type
Full-Time
