Machine Learning Engineer Salary in Revere, Massachusetts

Center 2 (19050), United States of America, McLean, Virginia Lead Machine Learning Engineer, Finance Tech As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The EDML (Enterprise. Data. Machine Learning.) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capita

At Enolink, we're on a transformative journey to harness the unparalleled potential of AI in healthcare. Our ambition is to radically improve patient outcomes, accelerate drug development, and optimize healthcare systems through precision medicine. We envision a future where healthcare is intrinsically linked to AI and machine learning, leading to personalized patient care based on individual health histories and distinct health conditions. Your Role: Machine Learning Systems Engineer As part of our dynamic team, you will play a pivotal role in building and enhancing the high-performance data processing and ML services that form the backbone of our AI-driven healthcare platform, Enobase. This is your opportunity to work in a vibrant, global ecosystem alongside data scientists, machine learning engineers, healthcare experts, and business leaders. Together, we're dedicated to delivering AI-driven healthcare solutions that could fundamentally change global healthcare delivery. Responsibil

Sr Machine Learning Engineer, Hybrid, Boston, MA $150,000-180,000 Evolution is partnering with a globally known, data driven company who are putting AI/ML at the forefront of their company. They're looking for a Senior ML Engineer to help build out the team and drive their new strategy forward. As a Senior Machine Learning Engineer working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, with a particular focus on recommendations, generative AI, NLP, and system designs. They're applying cutting edge machine learning techniques to all aspects of their business. Day to day... Seek out new opportunities to apply data science and machine learning to the business Automate ETL pipelines Design AB tests and analyze results Lead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivation Skills and qualifications... Experience with Recommender Sy

Senior Machine Learning Engineer - Computer Vision My client is a pioneering force in the field of drug discovery, harnessing the power of computer vision and deep learning technologies. Situated in the bustling tech hub of Cambridge, Massachusetts, they are dedicated to accelerating the identification of potential therapeutic compounds through innovative approaches. They've recently secured their Series-A Funding, backed by prominent Biotech VCs and are pushing ahead with speed with their current targets. They are currently seeking a talented Machine Learning Engineer to join their innovative team. The Machine Learning Engineer will be instrumental in the development and optimization of algorithms driving the company's computer vision platform for drug discovery. Working closely with interdisciplinary teams, the successful candidate will contribute to enhancing the performance and scalability of machine learning models, thereby making significant contributions to the advancement of li

Senior Machine Learning Engineer - NLP / LLM Strativ Group are currently partnered with a world leading AI/ML startup who have significant growth plans within their AI team, specifically relating to their work in NLP / LLMs. Operating in over 100 countries, the business are renowned for pioneering work in Conversational AI, this is an excellent opportunity to join a recognized leader in AI and work in a highly-skilled team of Engineers & Researchers. We are specifically looking for individuals with PhDs in NLP, Machine Learning or Computational Linguistics, who can combine a research background with more recent hands-on Engineering abilities. You will be responsible for building and shipping ML technology to production and will lead several workstreams in LLMs. Qualifications: PhD educated - proven publication history across NLP (ideally with a focus on LLMs) Strong commercial experience as an ML Engineer focused on LLMs, ideally at scale Python, TensorFlow, PyTorch - expert level Plea

Center 2 (19050), United States of America, McLean, Virginia Lead Machine Learning Engineer, Finance Tech As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The EDML (Enterprise. Data. Machine Learning.) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capita