Manager of Machine Learning

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.

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...

Fundamental knowledge of traditional compilers (e.g., LLVM, GCC) and graph traversals necessary for compiler code development.Strong software engineering skills, demonstrated by contributing to and deploying production-grade code.Understanding of parallel programming, particularly concerning GPUs.Willingness to learn Rust, as it is our company's default...

Regularly benchmarks the learning function with Four Seasons Learning Success LevelsBases the direction for learning on a thorough Learning Needs AnalysisDesigns solutions for learning needs by rapidly creating and developing learning programs (or blended Learning programs) that target performance gaps and management competenciesPrepares and produces...

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.

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...

- 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.

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,...

• 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...

- Develop, Build and Deploy DevSecOps CI/CD for Static application security testing (SAST)- Develop, Build and Deploy DevSecOps CI/CD for Dynamic Application Security Testing (DAST)- Develop, Build and Deploy DevSecOps CI/CD for Interactive Application Security Testing (IAST)- Apply Open Worldwide Application Security Project (OWAST) methodologies to real...

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.

Training Needs Analysis:Conduct training needs assessments by consulting with managers and employees.Analyze performance gaps and identify areas requiring development.Program Design and Development:Design and develop comprehensive training programs, including e-learning, workshops, and on-the-job training.Create engaging and effective training materials such...

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...

Creatively ideate, design, develop, maintain and manage powerful learning experiences for our staff to foster a culture of employee engagement and enhance job satisfaction.Conduct design sessions with various internal stakeholders to map out key learning outcomes and desired competencies to be developed by programmes and courses.Map out and create modules,...