Top Machine Learning Engineer Jobs
.jpg)
As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
This role involves leading product releases at Metropolis by developing and executing robust testing and release plans. The Product Operations Manager will collaborate with Product Managers and cross-functional teams to drive product adoption, communicate updates, and assess product impact based on data and feedback.
Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.
Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze risks associated with various businesses. This role requires transforming large datasets into actionable insights, collaborating closely with product management and engineering teams, and driving project direction.
As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of machine learning models to assess business risks using structured and unstructured data. You will drive project direction with ownership and collaborate in agile sprints with Product Management and Software Engineers.
Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
Featured Jobs
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to evaluate business risks using various data sources. You will own projects, driving their direction while collaborating with Product Management and Software Engineers in a sprint-based environment.
As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risk. Responsibilities include handling large volumes of both structured and unstructured data to derive insights, with full ownership of projects in a fast-paced team environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing both structured and unstructured data. You will have full ownership of projects and collaborate closely with Product Management and Software Engineers in a sprint environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risks for various businesses, utilizing structured and unstructured data. You will have ownership of projects and collaborate closely with Product Management and Software Engineers in a two-week sprint cycle.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze business risks using various data sources. Responsible for transforming large datasets into actionable insights, this role requires collaboration with product managers and software engineers during two-week sprints.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to analyze business risks using varied data sources. You'll manage projects with autonomy while collaborating with Product Management and Software Engineers in a two-week sprint cycle.
As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess business risks using diverse data sources. You will take ownership of projects, working in sprints with product and software teams to deliver insights and solutions.
As a Senior Machine Learning Engineer at Kalepa, you will lead the development of innovative AI solutions for the insurance sector, utilizing your expertise to improve underwriter decision-making processes and drive significant business outcomes. You will collaborate closely with cross-functional teams to enhance the AI Copilot platform.
As a Senior Machine Learning Engineer, you will develop and implement advanced machine learning algorithms focusing on forecasting. You'll collaborate with various teams to build scalable algorithms, empower model iteration, and provide guidance to junior engineers while ensuring the effective communication of model concepts to business partners.
As a Machine Learning Engineer at Kalepa, you will lead the framing, development, and deployment of machine learning models to assess the risk of different businesses, utilizing extensive structured and unstructured data. You will take ownership of projects, collaborate with Product Management and Software Engineers, and work in two-week sprints to deliver insights on behavior and risk.
The Machine Learning Engineer will be responsible for leading the development and deployment of machine learning models to assess the risk of different business classes. This role involves working with both structured and unstructured data from various sources to generate insights regarding behavior and risk, with a focus on project ownership within a two-week sprint framework.
The Machine Learning Engineer will develop and deploy machine learning models to assess business risks using diverse data sources including web data and satellite images. Responsibilities include leading project direction and collaborating with product and software teams to generate insights from large datasets.
As a Machine Learning Engineer at Kalepa, you will lead the framing, development, and deployment of machine learning models to analyze risk in various businesses, leveraging extensive data sources including web data and satellite imaging. You will work collaboratively with a team in a fast-paced, agile environment to deliver insights that enhance client performance.
As a Machine Learning Engineer at Kalepa, you will be responsible for leading the development and deployment of machine learning models aimed at assessing risks associated with various businesses. You will process structured and unstructured data from diverse sources to generate actionable insights, working collaboratively in a two-week sprint format with a focus on project ownership.
Kalepa seeks a Machine Learning Engineer to lead the development and deployment of machine learning models. Responsibilities include transforming structured and unstructured data into insights about risk, collaborating with team members, and driving project direction. Candidates should have significant experience in machine learning.
Top Companies Hiring Machine Learning Engineers
See All
.jpg)
All Filters
No Results
No Results
