Capital OneQueens
Senior Manager, Machine Learning Engineering. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to. Mgr, Machine Learning Engineering. ...
Capital OneQueens
We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using conta...
Capital OneQueens
We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. Senior Engineer - Generative AI Product Engineer. We are committed to building world-class applied science and engineering teams and continue ou...
Capital OneQueens
Senior Data Engineer - Principal Associate. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data w...
Shiftcode Analytics, IncNew York
MACHINE LEARNING ENGINEER
LONG TERM CONTRACT
NEW YORK CITY, NEW YORK
100% REMOTE ROLE
VISA- USC/GC ONLY
Requirement:
Machine Learning Engineer with over 5 years of experience and expertise in building Client models with Python.
MLOps...
RoktNew York
for a Senior Machine Learning Engineer
Compensation: $190,000 - $300,000 salary (including superannuation), employee equity plan grant & world class benefits.
About Rokt'stars
As a mission-driven, hyper-growth community of curious explorers, our ambition...
Capital OneAlbany
Center 1 (19052), United States of America, McLean, Virginia
Senior Manager, Technical Program Manager - Machine Learning
Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms...
Capital OnePoughkeepsie (NY)
Center 1 (19052), United States of America, McLean, Virginia
Senior Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems...
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Staff Software Engineer, Machine Learning
New York | www.resume-library.com |
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enables insurers to fight illegitimate claims at scale while removing human bias from the process. Our clients are the top insurance companies across North America and are getting incredible results through our AI-powered evidence-based platform.
We are on a mission to bring state-of-the-art ML and NLP methods to transform this traditionally manual activity into an equitable process. We are and have engineering offices in New York City, Toronto, and Vancouver.
We are actively seeking a highly motivated and experienced Senior Software Engineer, with a strong focus on machine learning and natural language processing (NLP) to drive the development of the core intelligence underlying our innovative products.
In this role, you will collaborate closely with various teams, leading the design, implementation, and production of some of the most impactful systems in the insurance industry.
What You Will Be Doing:
Collaborate with cross-functional teams to design, implement, and enhance machine learning-powered systems and products, with a specific emphasis on NLP.
Develop and maintain advanced NLP models for document classification, ranking, and annotation, serving as the core intelligence of our products.
Work closely with internal stakeholders to conduct data analyses that address customer needs and generate actionable insights, leveraging NLP techniques.
Design and execute experiments aimed at improving internal processes, enhancing data collection, and refining ML models, with a strong NLP component.
Lead technical discussions and contribute to key technical decisions within the team, especially as they relate to software engineering aspects of NLP strategies.
Develop clean, well-documented, and maintainable code spanning the entire technology stack, with a strong focus on NLP implementation and software engineering best practices.
Mentor junior engineers, supporting their growth and development within the context of NLP software engineering.
Analyze user behavior on our platform to uncover new features, trends, and insights that can enhance our products, using NLP-driven analytics.
Contribute to the evolution and direction of our analytics practices, particularly in the realm of NLP-driven software engineering.
Requirements:
Possess a minimum of 4 years of hands-on experience in software engineering with a strong portfolio of applied projects in the industry, with a significant focus on NLP.
Hold an advanced degree or equivalent qualification, ideally in a field related to NLP, machine learning, or software engineering.
Exhibit extensive proficiency in Python, particularly for NLP-related software engineering tasks.
Demonstrate expertise in software engineering practices, including code quality, maintainability, and scalability, with a strong emphasis on NLP-driven software solutions.
Be proficient in common data science tools and query languages, including pandas, NumPy, seaborn, scikit-learn, and SQL, with a focus on NLP data analysis from a software engineering perspective.
Possess strong interpersonal and written communication skills, along with expertise in A/B testing, statistical analysis, and applied ML theory and practice, especially in the context of software engineering.
Familiarity with AWS data services, such as Glue, Athena, QuickSight, and related technologies, and their application to NLP-driven software engineering tasks.
Benefits
Medical: 100% paid medical, dental, vision
Pension: 401K matching
Short & long-term disability
Recharge: 4 weeks of paid time off, 10 public holidays, additional sick days, and time off over the winter holidays
Personal development: $1,200/year towards your fitness expenses, favorite activities, or professional development
Hybrid working environment
Please note that we can not provide visa sponsorship at this time.
enables insurers to fight illegitimate claims at scale while removing human bias from the process. Our clients are the top insurance companies across North America and are getting incredible results through our AI-powered evidence-based platform.
We are on a mission to bring state-of-the-art ML and NLP methods to transform this traditionally manual activity into an equitable process. We are and have engineering offices in New York City, Toronto, and Vancouver.
We are actively seeking a highly motivated and experienced Senior Software Engineer, with a strong focus on machine learning and natural language processing (NLP) to drive the development of the core intelligence underlying our innovative products.
In this role, you will collaborate closely with various teams, leading the design, implementation, and production of some of the most impactful systems in the insurance industry.
What You Will Be Doing:
Collaborate with cross-functional teams to design, implement, and enhance machine learning-powered systems and products, with a specific emphasis on NLP.
Develop and maintain advanced NLP models for document classification, ranking, and annotation, serving as the core intelligence of our products.
Work closely with internal stakeholders to conduct data analyses that address customer needs and generate actionable insights, leveraging NLP techniques.
Design and execute experiments aimed at improving internal processes, enhancing data collection, and refining ML models, with a strong NLP component.
Lead technical discussions and contribute to key technical decisions within the team, especially as they relate to software engineering aspects of NLP strategies.
Develop clean, well-documented, and maintainable code spanning the entire technology stack, with a strong focus on NLP implementation and software engineering best practices.
Mentor junior engineers, supporting their growth and development within the context of NLP software engineering.
Analyze user behavior on our platform to uncover new features, trends, and insights that can enhance our products, using NLP-driven analytics.
Contribute to the evolution and direction of our analytics practices, particularly in the realm of NLP-driven software engineering.
Requirements:
Possess a minimum of 4 years of hands-on experience in software engineering with a strong portfolio of applied projects in the industry, with a significant focus on NLP.
Hold an advanced degree or equivalent qualification, ideally in a field related to NLP, machine learning, or software engineering.
Exhibit extensive proficiency in Python, particularly for NLP-related software engineering tasks.
Demonstrate expertise in software engineering practices, including code quality, maintainability, and scalability, with a strong emphasis on NLP-driven software solutions.
Be proficient in common data science tools and query languages, including pandas, NumPy, seaborn, scikit-learn, and SQL, with a focus on NLP data analysis from a software engineering perspective.
Possess strong interpersonal and written communication skills, along with expertise in A/B testing, statistical analysis, and applied ML theory and practice, especially in the context of software engineering.
Familiarity with AWS data services, such as Glue, Athena, QuickSight, and related technologies, and their application to NLP-driven software engineering tasks.
Benefits
Medical: 100% paid medical, dental, vision
Pension: 401K matching
Short & long-term disability
Recharge: 4 weeks of paid time off, 10 public holidays, additional sick days, and time off over the winter holidays
Personal development: $1,200/year towards your fitness expenses, favorite activities, or professional development
Hybrid working environment
Please note that we can not provide visa sponsorship at this time.
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