> Markdown version of [/jobs/ext/2868726-data-scientist-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2868726-data-scientist-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist/Machine Learning Engineer - **Company:** NERVANA LLC - **Location:** San Diego, CA, United States - **Contract:** Permanent contract - **Skills:** Computer Vision, Big Data, C++ (Programming Language), Microprocessors, Apache Hadoop, Python (Programming Language), Machine Learning, Multiprocessing, Natural Language Processing, Object Detection, Recommender Systems, Speech Recognition, Supervised Learning, Graphics Processing Unit (GPU), Apache Spark, Deep Learning, Kaggle - **Published:** September 12, 2026 - **Apply:** https://startup.jobs/data-scientist-machine-learning-engineer-nervanasys-31305 ## About the Role * Master's (or PhD, preferred) in computer science, electrical engineering or related fields (statistics, applied math, computational neuroscience) * Background in deep learning, machine learning & big data * Experience designing professional software using Python, C++ * Drive to solve customers' problems using technical creativity and hard work * Experience with participating and winning Kaggle competitions * Familiarity with details of implementing algorithms on multi-core CPUs, clusters (MPI), GPUs, heterogenous clusters, distributed frameworks (eg. GraphLab, Spark, Hadoop) ## Description * Cutting edge problems in applied AI and ML in one or more of the following areas: computer vision, object detection and localization, speech recognition, natural language processing, recommendation systems, forecasting, and multimodal learning * Developing our Deep Learning framework * Inventing new models that combine unsupervised and supervised learning * Developing new deep learning algorithms to exploit novel distributed processor architectures ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)