Machine Learning Scientist

Posted 2024-11-13

💎 Seniority level: Senior, 3+ years

📍 Location: Canada, Eastern Time, NOT STATED

🔍 Industry: Space weather and aerospace technology

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSLeadershipPythonGCPKerasMachine LearningPyTorchAlgorithmsAzureTensorflowCommunication SkillsWritten communicationCompliance

MS or PhD in a quantitative field (e.g., Physics, Electrical Engineering, Mathematics, Atmospheric Science).
3+ years of industry experience building, optimizing and deploying large-scale deep learning models.
Demonstrate a high level of autonomy and critical thinking to take full ownership of your work.
Strong general foundations in software engineering - including coding standards, code reviews, source control management, build processes, and testing.
Experience working with time-series data and scientific data.
Strong proficiency in Python and ML frameworks such as Keras, TensorFlow, and PyTorch.
Experience with tools and frameworks like ML Flow, Ray, Dask, and Numba.
Experience deploying ML solutions onto cloud platforms (e.g., AWS, GCP, Azure).
Outstanding verbal and written communication skills can explain complex technical concepts to engineering peers and non-engineering stakeholders.

Architect, build, scale, and improve ML algorithms that support our products.
Take charge of your project end-to-end involving high ambiguity, scale, and complexity.
Explore and research innovative machine-learning approaches to push the boundaries of what’s possible.

Posted 2024-10-24

📍 United States, Canada, Europe

🧭 Full-Time

🔍 Clean energy

Passion for clean energy and fighting climate change.
An advanced degree in computer science, data science, machine learning, or a related quantitative discipline.
4+ years of experience in data science or related fields, with expertise in deep learning techniques.
2+ years in the electricity and energy domain.
3+ years of experience with Python and related computational tools.
Experience communicating insights to both technical and non-technical audiences.
A collaborative mentality with a willingness to teach and learn.

Use research insights to shape product direction and influence roadmaps.
Formulate and apply novel machine learning solutions to the energy domain.
Drive the design, specification, development, and deployment of machine learning solutions.
Define and evaluate success metrics for ML models to enhance performance.

PythonArtificial IntelligenceMachine LearningNumpyData sciencePandasTensorflowCollaboration

Posted 2024-10-24

Posted 2024-10-21

📍 North America

🧭 Full-Time

💸 200000 - 250000 USD per year

🔍 Machine Learning / AI

🏢 Company: Voxel51

5+ years of professional experience working on an applied ML product.
MS or PhD in computer science or a related field.
Proficiency with Python.
Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy).
Experience maintaining or contributing to open source projects (or the passion to start!).
Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack).
Passion for elegant software engineering.

Research, design, and implement methods for curating unstructured datasets and analyzing ML models.
Build powerful and extensible APIs and methods that are used by individuals, startups, and enterprise ML teams.
Establish yourself as a thought leader in data-centric ML through earned marketing activities (blog posts, video tutorials, training sessions).
Take an active leadership role in informing company technical strategy to create the leading data-centric ML product.
Communicate, document, suggest, and get things done as a team player.

LeadershipPythonMachine LearningNumpyPyTorchStrategyTensorflow

Posted 2024-10-21

🔧 Requirements