Machine learning jobs in Jersey City, New Jersey - Page 18Create job alerts

Experience in Deep Learning and Machine Learning algorithms is a plus. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. Will use big data and machine learnin

Staff Machine Learning Engineer. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.

Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Staff Machine Learning Engineer.

Modern machine learning algorithms (e. Machine Learning Software such as.

As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. Benefit from clear career paths, internal mobility, a dedicated learning program, and men

While sharing many standards, practices, and methodologies with traditional engineering teams, ML engineers bring specialized knowledge in machine learning frameworks, scalable infrastructure, data engineering, and model operations. ML Engineering collaborates with Data Science in the designing, dev

Artificial Intelligence (AI) / Machine Learning (ML). Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiative

Job Title: AI/Machine Learning Labor Workforce Planning/HR Specialist. We are seeking a highly skilled AI/Machine Learning Labor Workforce Planning Specialist to join our team. This role will focus on aligning workforce planning and capacity modeling with future organizational needs in the field of

Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data. Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy. Software Engineer, Machine L

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Role:

Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes). Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science.

As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. You are experienced in developing robust evaluation frameworks and ensuring data integrity in machi

Collaborate closely with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning. We are hiring Machine Learning Engineers to help us build the foun

Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data. Career growth support through sponsoring learning opportunities and mentorship.

This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team!. Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace

Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. Senior Machine Learning Engineer a

Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale. Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using bes

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Design machine learning systems. Develop machine learning applications according to requirements.

Knowledge of theories and practical application of machine learning. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the Scho

Founded by NASA, Google, Sidewalk Labs, Waymo, and Cruise experts, Thalo is a tech-enabled services company transforming the HVAC industry with next-generation sensing and AI-powered intelligence.Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are

You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

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

The Machine Learning and Inference Research team is a dedicated research team building up Netflixs technical capabilities by tackling fundamental research questions tied to our most important challenges and partnering closely with teams across the business to translate research into impact at scale.

Job Title: Machine Learning Engineer. Design, develop, deploy, and maintain end-to-end machine learning pipelines and systems. Apply machine learning, AI, and statistical techniques to solve real-world business problems.

As a Senior Data Scientist (Machine Learning), you’ll get the chance to develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud

Lead ML Engineer - Generative AI.This is your chance to lead engineering efforts that bring cutting‑edge AI models into production, scale them across enterprise platforms, and make a real impact.Ensure models are deployed, monitored, and governed with performance and cost efficiency in mind.C

Drive research and development of machine learning models, including semantic search, personalized and real-time recommendations, and agentic learning approaches. NLP), deep learning, and other core machine learning methodologies. The machine learning science team at The Knot Worldwide is at the for

Specific areas of interest include reinforcement learning for language models, science of deep learning, post-training, reasoning, and test-time scaling. Microsoft Research New York City () (MSR NYC) is seeking applicants for Research Internship positions in machine learning (ML) and artificial inte

Understanding of machine learning workflows and advanced analytics pipelines. Director of Machine Learning Engineering. This role is responsible for scaling the development, deployment, and operationalization of advanced machine learning systems across the organization-including personalization, for

Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.

We are committed to making fundamental advances in artificial intelligence and machine learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep u

Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning. If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to

You'll set the multi-year strategy for applied science and platform capabilities, foster a culture of psychological safety and continuous learning, and drive measurable business outcomes through experimentation, rigorous analytics, and reliable, cost-efficient ML systems.

PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics. Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making.

AI/ML, and specifically in the areas of science of deep learning/generative AI, post-training and test-time scaling, modular transfer learning/generalization, and in areas that bridge AI/ML interests with other research areas at MSR NYC and other MSR labs, particularly the Montreal and New England l

Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

As a Machine Learning Research Scientist on the Monetization team at Meta, you can help build cutting-edge ML/AI technologies that can effectively connect users with businesses You'll help develop industry-leading solutions that power next-generation, large-scale platforms and AI innovations to powe

Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. As the Staff Machine Learning Engin

Research Scientist, Machine Learning (PhD) Responsibilities:. Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields. Please note tha

Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineering Manager. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experienc

As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. Published research in areas of machine learning at major conferences (NeurIPS,

As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models th

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. Use machine learning, natural language p

Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search. Publications in machine le