Machine Learning Compiler Engineer

Develop, implement, and optimize machine learning models to solve complex business problems.Preprocess and analyze data, engineer features, and evaluate model performance.Collaborate with cross-functional teams to integrate models into production systems.Monitor and maintain deployed models, ensuring accuracy and scalability.Stay updated with the latest...

Research and develop state-of-the-art machine learning algorithms and models for anomaly detection within the Web3 ecosystem.Explore and experiment with various neural network architectures, unsupervised learning techniques, and other machine learning approaches to effectively detect anomalies in Web3 applications.Design and implement scalable machine...

Collaborate with researchers, data scientists, and engineers to collect and preprocess data from Web3 platforms and networks for training and evaluation of machine learning models for anomaly detection.Conduct thorough analysis and evaluation of machine learning models to measure their performance, identify limitations, and propose improvements within the...

Developing scripts to process structured and unstructured data.Recommending, developing and implementing ways to improve data reliability, efficiency and quality.Supporting translation of data business needs into technical system requirements.Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and...

At least 3 to 5 years of model training, deployment and maintenance experience in a production environmentStrong skills in NLP, LLMs and deep learningPublished research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journalsSolid background in algorithms, data structures, and object-oriented programmingNative...

Expert in TTS and STT with over 3 years of machine learning application experience. Proficient in Python and familiar with modern ML tools. Analytical problem solver, thriving in dynamic environments.

Experience managing or mentoring data science people.Hands-on deployment, production, and operation of Machine Learning models and pipelines at scale, including both batch and real-time use cases.Help drive optimization, testing, and tooling to improve the quality of the ML deliverables.Work with the analytics team and stakeholders to understand their...

Kernel and Compiler Support:Working closely with kernel, compiler, and machine learning engineers, you'll assist in developing optimal kernels and adding support for them in the compiler. This ensures efficient training and inference on the hardware platforms1. Performance Estimation:You'll create performance estimates for critical kernels across...

Significant experience writing compilersStrong proficiency in RustUnderstanding of computer architecture and configurationUnderstanding of technology tradeoffs and a pragmatic approach to problem solvingStrong written and verbal communications skills

Autonomy to work on data pipelines, AWS, Spark, MLOps and the implementation of models in production environments;Capability to work on organic content, reinforced learning, recommending & enriching and deduplicating core content information using advanced NLP models;Transformers and specific models such as BERT for text classification and Stanford NER or...

Collaborate with cross-functional teams to develop, deploy, and maintain AI-driven solutions.Assist in collecting, cleaning, and analyzing data from various sources to derive actionable insights.Contribute to the design and implementation of scalable data pipelines for model training and deployment.Support the integration of machine learning models into...

• Conduct research and stay up-to-date with the latest advancements in machine learning and artificial intelligence techniques applicable to the online poker industry.• Perform thorough data analysis and experimentation to evaluate the performance of machine learning models and identify areas for improvement.• Work closely with software...

Design and develop deep learning models and algorithms for various applications, such as computer vision, natural language processing, and speech recognition.Collect, preprocess, and analyze large-scale datasets to train deep neural networks.Implement and optimize deep learning architectures, including convolutional neural networks (CNNs), recurrent neural...

Study and implement cutting edge research in the fieldDesign and implement agent workflows that leverage pre-training and fine tuning techniques to customize LLMs and embedding models for downstream tasksUnderstand customer needsWork with large unstructured dataBuild evaluation systemsWork cross functionally with our data annotation teams and fine tune...

You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow,...

A proven track record of building impactful and innovative ML projects.Strong proficiency in a leading ML framework (PyTorch, TensorFlow, etc.).An empathetic and inclusive leadership style.The ability to rapidly prototype solutions and iterate effectively, especially under tight deadlines.Excellent communication, collaboration, and documentation skills.

Work with various teams to convert business and tech requirements into robust NLP solutions.Design experiments and test hypotheses to refine model performance.Keep up with NLP and LLM advancements to innovate and enhance our projects.

Collaborate with data scientists and business stakeholders to understand project requirements and define AI solutions.Design and develop machine learning models, algorithms, and neural networks for data analysis, prediction, and decision-making.Collect, preprocess, and analyze large datasets to train and validate AI models.Implement AI solutions using...

- Strong communication and collaboration skills, with the ability to effectively convey complex concepts to diverse stakeholders.- Exceptional problem-solving abilities and a keen attention to detail.- Demonstrated ability to thrive in a fast-paced, dynamic environment.- Passion for leveraging technology to drive innovation.

Design and develop cloud-based AI solutions: Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions on cloud platforms. Architect, implement, and deploy machine learning models and AI applications.Cloud platform selection and configuration: Evaluate different cloud platforms (such as AWS,...