Ensemble AI · 1 day ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$135K/yr - $150K/yr

5+ years exp

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Responsibilities

Research, design, and implement machine learning models using state-of-the-art techniques.

Work on embedding models, specifically tabular & time series embeddings, with a focus on representation learning in a new subset of the field. (experience in graphical models, vision and NLP in addition to these is a plus).

Develop and influence the core algorithms, focusing on efficiency and innovation.

Create new product features informed by client requirements, driving IP development and expanding existing algorithms.

Collaborate with across teams and clients to integrate ML models into scalable production systems, ensuring efficient deployment and performance optimization.

Work on cutting-edge ML methods and algorithms, driving innovation at the frontier of AI.

Manage and scale models across GPU clusters and integrate with cloud platforms (e.g., AWS).

Contribute to future work involving image and text data as needed, though prior computer vision or NLP experience is not required. (it’s a plus)

Qualification

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EmbeddingsRepresentation LearningMachine Learning ResearchPythonAWSTensorFlowPyTorchScikit-learnMLOps ToolingStartup ExperienceCollaborative Mindset

Required

Strong familiarity with embeddings, ideally in tabular / time series embedding models.

Experience with ML research in an industry setting, focused on deploying production-ready models, evidenced by publications in top-tier conferences and journals.

Expertise in representation learning and applying it to real-world problems.

Advanced Degree in Computer Science, Engineering, Mathematics, Physics or a related field, with a focus on machine learning research.

5+ years of hands-on experience in machine learning, with a demonstrated track record of designing and deploying ML models in production environments.

Strong proficiency in modern programming languages (such as Python) and deep familiarity with leading machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Extensive experience with AWS and proficiency in Python.