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Lead Machine Learning EngineerAs 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 participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...

At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer...

We’re looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning.Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little...

About the Team You’ll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross‑departmentally, you’ll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high‑visibility role with a direct line to executive leadership and...

You will manage a blended team of machine learning modelers, infrastructure experts, and data engineers. This team builds data and algorithm-driven platforms as well as ML-oriented features in existing platforms. The team also directly supports our focused Research Projects. Successful individuals on our team tend to operate with autonomy and alacrity, with...

Company Description Hi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how...

Back to jobs Scientist, Machine Learning South San Francisco, California, United States At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the cover of Science, provides new strategies to treat previously undruggable diseases by targeting RNA. We...

Role: Senior ML EngineerLocation: Austin, TX (100% Onsite) - No flexibilityJob Description:Senior ML engineer with 10+ years of experience in building and deploying AI/ML models.Technical skill - Model development, Pipeline engineering, Monitoring, Feature engineering, Knowledge of Python framework like PytorchFamiliarity with Google Cloud Platform...

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)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 participate in the detailed technical design, development, and implementation of machine learning...

Lead Machine Learning EngineerAt Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about...

ML Engineer (Machine Learning)Location: Remote (EST) or Onsite (Philly/DC/CA)3 - 6 + Months$45-$50/HRTech:Python, PySpark, AWS, DatabricksIV Process: 3 Rounds!Screen Coding System DesignRole: Build custom DL models from scratch (no infra)Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations...

Lead 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 at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...

San Francisco, CA Financial Products – Data Science / Full-Time / Hybrid apply for this job About PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for...

Lead 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 at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.We...

Job DescriptionThis role is based remotely but if you live within a 50-mile radius of (Austin, Detroit, Warren, Milford or Mountain View), you are expected to report to that location three times a week, at minimum.The Role:We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the...

Job Description A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Machine Learning Engineer. In this position, you'll be responsible for owning the entire ML lifecycle, transforming raw sensor data into reliable models that run on constrained hardware. You will collaborate...

Role:- Machine Learning EngineerLocation:- Hybrid at Chicago, ILThere is an ML model they built to predict their account balances.It is potentially ready to be used for income simulation forecasting that has been manual and now they can automate and use this model as a potential input.If the model is accurate enough and they can explain it well enough they...

The client is seeking a Director of Machine Learning to lead machine learning infrastructure and technical strategy. In this role, you will own scalable, fault-tolerant ML pipelines and partner with product and engineering teams to align ML systems with business goals and deliver data-driven solutions. You will lead and manage a team of engineers while...

Job Description Overview: We are seeking a highly skilled and innovative AI / Machine Learning Engineer to design, develop, and deploy machine learning models and AI-driven solutions that solve complex business problems. This role focuses on building scalable ML systems, training predictive models, and integrating AI capabilities into production...