32 applicants

Company

Canoe Intelligence · 1 day ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$140K/yr - $210K/yr

5+ years exp

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AnalyticsArtificial Intelligence (AI)

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Responsibilities

NLP Algorithm Development: Lead the design and implementation of state-of-the-art NLP algorithms, with a focus on information extraction, entity resolution, and entity disambiguation.

Model Training and Optimization: Develop and train large language models for various NLP tasks, optimizing their performance for accuracy, efficiency, and scalability.

Data Preprocessing and Feature Engineering: Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models.

Entity Resolution and Disambiguation: Drive the development of solutions for entity resolution and disambiguation challenges, ensuring robust and accurate identification of entities within unstructured text.

Collaboration with Cross-functional Teams: Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions.

Research and Innovation: Stay abreast of the latest advancements in NLP and machine learning, and actively contribute to research initiatives to enhance our technology stack.

Code Review and Mentorship: Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningNatural Language Processing (NLP)Information ExtractionEntity ResolutionEntity DisambiguationPythonTensorFlowPyTorchScikit-learnDeep Learning ArchitecturesLarge Language ModelsFeature EngineeringData PreprocessingCloud Computing PlatformsDistributed ComputingML Ops ToolsCode Review

Required

Minimum of 5 years of experience in machine learning, with a focus on NLP.

Proven experience in information extraction, entity resolution, and entity disambiguation.

Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with deep learning architectures, especially those applied to NLP tasks.

Bachelor’s degree in computer science or related field.

Preferred

Master Degree or PhD in computer science or related field.

Experience in training and deploying large language models.

Familiarity with cloud computing platforms and distributed computing.

Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc.

Benefits

Medical, dental, vision benefits

Flexible PTO

401(k)

Flexible work from home policy

Home office stipend + wifi reimbursement

Employee Assistance Program

Gym reimbursement

Education assistance

Parental Leave

Commuter benefits

Company

Canoe Intelligence

Canoe has reimagined the future of alternative investments with cloud-based, machine-learning technology for document collection, data extraction, and data science initiatives.

Founded in 2013

New York, New York, USA

51-200 employees

https://canoeintelligence.com

H1B Sponsorship

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2021 (2)