Senior Machine Learning Engineer (remote)

Posted 2024-09-08

💎 Seniority level: Senior, 5+ years

📍 Location: Europe, East coast of USA, Canada

🔍 Industry: Artificial Intelligence

🏢 Company: mozilla.ai

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonMachine LearningMLFlowPyTorchCommunication SkillsCollaboration

5+ years of professional experience in machine learning and strong background in software engineering.
Comfortable with open source development work.
Experience with deep learning frameworks, such as PyTorch, is a plus.
Experience with large-scale dataset processing and data augmentation techniques.
Experience with managing experiments and models using platforms like Weights and Biases, MLFlow, KubeFlow.
Strong proficiency in Python and familiarity with relevant libraries and tools.
Comfortable working in the cloud, including containerization and cloud resource management.
Excellent problem-solving skills and ability to work independently or as part of a team.
Effective communication skills, including translating technical concepts to non-technical stakeholders.
Demonstrated track record of delivering high-quality, scalable solutions in a fast-paced environment.

Develop tools to streamline development, management, and evaluation of models.
Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure.
Prepare and preprocess datasets for model evaluation.
Run and manage experiments related to model evaluation and training.
Evaluate model performance using standard metrics and techniques.
Collaborate with other teams to ship features.
Implement MLOps best practices for model deployment and monitoring.
Engage with stakeholders, translating technical details into insights.
Contribute to the product engineering lifecycle, from ideation to deployment.

Posted 2024-10-22

📍 Portugal

🔍 Web data extraction

🏢 Company: Zyte

Deep understanding of machine learning algorithms and deep learning models (e.g., CNN, RNN, Transformers).
Experience working with large language models (LLMs) and applying them in production.
Knowledge of data preprocessing, feature engineering, and model tuning.
Experience in deploying machine learning models at scale in production environments.
Strong expertise in Python and machine learning libraries (e.g., PyTorch).
Knowledge of data structures, algorithms, and performance optimization techniques.
Experience with git, CI/CD workflows, and containerization technologies (e.g., Docker, Kubernetes).
Strong understanding of software design principles and high-level code organization.

Lead the design, development, and deployment of machine learning models and algorithms for web data extraction and processing.
Collaborate closely with domain experts, cross-functional teams, and stakeholders to identify data requirements, define hypotheses, and guide experimentation.
Perform data collection, cleaning, preprocessing, and exploration to enable high-quality model training.
Suggest and conduct experiments aimed at improving the accuracy and efficiency of existing models and systems.
Implement machine learning model improvements in production, optimizing codebases, and enhancing tooling.
Stay at the forefront of machine learning research, particularly in deep learning and large language models (LLMs).
Provide mentorship and guidance to junior team members, promoting best practices in machine learning and software engineering.
Contribute to the community through publications, talks, and open-source contributions.

DockerPythonGitHTMLJavascriptKubernetesMachine LearningPyTorchC++AlgorithmsData StructuresCI/CDJavaScript

Posted 2024-10-22

🔧 Requirements