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Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers. Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.

Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar technologies. Lead II, Machine Learning Engineer. Our machine learning team specializes in working with large datasets to create cutting-edge AI capabilities that drive enterprise-wide auto

The Senior Machine Learning Engineer serves as an individual contributor responsible for leading end-to-end development of machine learning solutions, from data and feature design through model deployment and monitoring. Certifications such as Google Professional Machine Learning Engineer, AWS Certi

Our goals are to give you a real sense of what it's like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML idea

Design and develop models for portfolio optimization, recommendation systems, propensity models, lead scoring, time series forecasting, and risk analysis using a combination of classical statistical methods, machine learning algorithms and novel deep learning algorithms. CAIS is the pioneer in democ

As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. Experience with the machine learning model lifecycle, from experimentation to production. Machine Learning (ML) at the New Y

Machine Learning Engineer (Level II). Machine Learning Engineer (Level 2).

As a Senior Applied Machine Learning Engineer on the Detect team, you'll own the end-to-end lifecycle of the AI models that power our camera-based detection system - from data collection and labeling through training, evaluation, and production deployment.

Title - Machine Learning ( F2F interview is required). Develop and implement advanced machine learning models and algorithms. Stay updated with the latest trends and technologies in data science and machine learning.

Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. Machine Learning Software Engineering Manager Responsibilities:. PhD + 8 years, of software engineering work experience, including technical management.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. We enable

Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. Point72 is a leading global alternative investment firm led by Steven A.

The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models for biomolecular systems and drug discovery. Stay current with the ultrafast-paced nature of biomolecular machine learning

You'll be responsible for translating high-level problem statements into working machine learning solutions-owning the entire process from research to implementation. Own the entire machine learning pipeline-research, data management, model development, and testing. Work closely with the embedded sy

We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. On the Public Sector team, you'll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act

You demonstrate curiosity and continuous learning mindset in Generative AI and applied machine learning, with an interest in staying current on emerging models, architectures, and techniques, including engaging with original research, technical papers, and pre-release concepts before they are broadl

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse f

As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. Published research in areas of Machine Learning, Dee

Staff Machine Learning Engineer. Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field-or equivalent professional experience. NLP, agentic systems, and production ML engineering.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Improve and maintain production models through ret

In your role, you will be working alongside a team of passionate machine learning engineers and applied Machine Learning researchers to build and contribute to architecting a system that serves millions of users worldwide. We are looking for a passionate Machine Learning Engineer to build and scale

We are seeking a skilled Machine Learning Engineer to join our team. Design and develop scalable machine learning models and algorithms. Tune and optimize machine learning models for performance and accuracy.

You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. As an early machine learning scientist at a rapidly-growing startup, you'll have the

You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure. The successful Founding Machine Learning Engineer will likely have the following skills and experience:. Machine Learning | AI | Artificial Intell

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. If you have visited our website in search of information on employment

In your role, you will be working alongside a team of passionate machine learning engineers and applied Machine Learning researchers to build and contribute to architecting a system that serves millions of users worldwide. We are looking for a passionate Machine Learning Engineer to build and scale

AI, Data Science, and/or Machine Learning.

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe

Staff Software Engineer for our MLOps Platform. Strong understanding of media processing and video engineering concepts including transcoding, segmentation, and frame manipulation , using libraries such as FFMPEG, OpenCV, and Demux. Experience collaborating in a cross-functional team and setting eng

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (). At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entreprene

Lead, coach, and develop production supervisors, machine operators, and support staff. Monitor production schedules, machine performance, and staffing to meet customer requirements. Analyze production data to identify bottlenecks, reduce waste, and improve throughput.

Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start. PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience. As a PhD graduate, your research expertise is invaluable to us.

Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. For 9 years, Scale has been the leading AI da

As part of our finance team, you'll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Le

For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. At Scale, our mission

Shape both our product roadmap and engineering foundation working with a highly collaborative product, design and engineering team. Connor was a machine learning research engineer at. You will own large engineering scope which will both bring immense value to our customers, and also lay the technica

As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving t

Manager, Data Science - US Card Account Takeover Fraud Data Science. The US Card Account Takeover Fraud Data Science team builds the machine learning models that safeguard our customers from Account Takeover Fraud. Partner with a cross-functional team of data scientists, software engineers, and prod

This role will include fittings, sewing on the machine, representing your studio internally, building client relationships and using sophisticated tools to make management decisions.

Job Title: Senior Consultant | Machine Learning | Python.

Flagship is building an innovative Sales and Operations Planning (S&OP) software that empowers DTC retail brands to maximize growth efficiency. At Flagship, we have built a multidisciplinary team of machine learning experts and industry professionals from the tech, commerce, and retail sectors. As C

Extensive software engineering experience with a strong working experience as a Machine Learning Engineer. Bachelor's degree in computer science, computer engineering, or a related engineering field. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine lea

The Meta Central Security Organization is seeking a committed and experienced Security Engineer to help us mature Meta's security posture through our vulnerability management program. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with appl

Role: Java Full Stack Engineer. Must Have: AI & Machine Learning knowledge, Scala, Java with JS Libraries and Frameworks,. Scala, Java, or other compiled language.

Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional, Cloud DevOps Engineer Professional. Master's Degree in Artificial Intelligence and Robotics, Busines

Title: Big Data/Machine Learning Engineer. Stay updated with the latest trends and advancements in Big Data, Machine Learning, and cloud technologies, incorporating them into the PurpleRain platform as needed. Software Engineer, with a focus on Big Data and Machine Learning.