Machine learning jobs in North Bergen, New Jersey - Page 14Crear alertas

They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models. Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals. Recruiting from Scra

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI. 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.

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and yo

A leading professional services firm is seeking a Manager in AI & Machine Learning Engineering to drive innovative solutions.

Satija's lab studies the causes and consequences of cellular heterogeneity in complex biological systems. His group is particularly interested in single cell genomics, with active development in both the dry and wet lab. The lab integrates novel statistical and machine learning-based methods with ex

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale. The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-c

Client Success Analyst, you will serve as liaison between our clients and our Risk Specialists, Data Scientists and Engineers to deliver solutions to core challenges in the life insurance industry backed by machine learning and best-in-class risk assessment techniques. Client Success Analyst - North

A tech-driven global transportation company is seeking a Tech Lead Manager to oversee the development of advanced machine learning models and pricing algorithms.

AI is becoming vitally important in every function of our society.At Scale, our mission is to accelerate the development of AI applications.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 a

An innovative firm is seeking a Machine Learning Research Scientist/Engineer to join their dynamic team.You will leverage your expertise in large language models and frameworks like PyTorch and TensorFlow to tackle complex machine learning challenges.This role offers the opportunity to contribute to

For 8 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 AI, our mission is to accelerate the development of AI applications. This role will lead the development of ma

A leading technology firm is seeking a Staff Applied AI/ML Engineer to enhance customer experience through AI and machine learning solutions. The ideal candidate has over 8 years of experience in ML/AI systems and strong programming skills in Python, with knowledge in frameworks like TensorFlow and

AI is becoming vitally important in every function of our society.At Scale, our mission is to accelerate the development of AI applications.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 a

As a Principal Data Scientist focused on Machine Learning for Growth, you’ll play a key role in improving our customer experience from onboarding to new product adoption. The Role: Principal Data Scientist, Machine Learning (Growth). We bring together world-class data engineers, platform engineers

Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in California, New York, and Chicago. Collaborate with researchers and engineers at the company’s partners (clients or academic par

You will develop and mentor engineering managers and senior ICs; set clear expectations and support their growth. Machine Learning Engineering Manager - Senior) at Capital Group. I can succeed as a Senior Manager,.

Vice President Experience Research, Machine Learning. As a Vice President of Experience Research in Machine Learning in Consumer & Community Banking Operations, you will play a pivotal role in shaping the user experience across our products and services by developing and executing research strategie

Strong foundation in machine learning, statistics, and deep learning fundamentals. At Pave, we’re building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. At Pave, we’ve built a system of

As a Vice President of Experience Research in Machine Learning in Consumer & Community Banking Operations, you will play a pivotal role in shaping the user experience across our products and services. Mentor and guide junior researchers and designers, fostering a culture of continuous learning and k

As a Machine Learning Engineer in CSGT, you will design and implement intelligent systems that enhance portfolio construction, investment research, and monitoring. I can succeed as a Machine Learning Engineer at Capital Solutions Group Technology (CSGT)". Must have experience using machine learning

Scale is seeking a highly experienced, thoughtful, and mission-driven research lead to drive the Scale AI Security and Policy Research Lab (SPRL). Our research interviews assess practical ML prototyping and debugging, understanding of research concepts, and alignment with Scale’s culture. Scale is

Experience tech leading a team of research scientists and research engineers. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. You will help define what "good" looks like in generative AI, driving research that inform

As a Machine Learning Engineer on the Foundation Model team, you'll solve some of Stripe's most challenging technical problems that span multiple teams and directly impact our research and engineering efforts around building the Foundation Models that power our payments and risk solutions. ML models

A leading fintech company is hiring a Machine Learning Engineer for its Foundation Model team in Seattle, WA.The role involves developing and optimizing ML models for payments, with responsibilities spanning technical contributions and strategic initiatives.Candidates should possess 5+ years in ML,

A pioneering AI-powered biology firm is seeking a hybrid role focused on transitioning research to production by deploying models and managing data pipelines.

As a research-driven startup, we operate at the forefront of 3D machine learning and visual computing. As a research-driven startup and NVIDIA Inception member, we operate at the forefront of 3D machine learning and visual computing. Position Overview We are looking for a 3D Machine Learning Enginee

A global consulting firm is seeking an AI Finance Manager to spearhead the execution of a data management strategy for finance applications. This position is essential to delivering insights and improvements driven by advanced analytics and technologies like Machine Learning and Generative AI.

About The Role**The Principal AI/Machine Learning Engineer will oversee defining and executing ZT’s roadmap for applying artificial intelligence and machine learning in manufacturing. Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth. G

Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities. Experience leading crossteam engineering efforts that improve user experience in products. As a Distinguished Machine Learning Engineer, you will be

As a Machine Learning Intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners cre

If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for

AI Finance - Senior Manager - Tech Consulting EY invites you to join as an AI Finance Senior Manager in Tech Consulting, overseeing finance applications data strategy and helping clients harness AI, machine learning, and Azure data technologies to empower finance decision‑making. Collaborate with

Job DescriptionAbout Prime Prime Financial Technologies is a software company with a mission to accelerate small businesses. At Prime, we harness advanced data science in credit decisioning to simplify and accelerate credit distribution to small and medium-sized businesses. Operating at the cutting edge of Embedded Finance and Ecosystem Lending, Prime’s focus is on embedded lending, where sophisticated data analytics are utilized to sharpen the accuracy of pre-qualification and underwriting processes and also deliver financial solutions that are customized to the needs of businesses. Prime’s integrations are designed specifically for marketplace and SaaS platforms, ensuring a seamless transaction experience for merchants and new diversified revenue streams for platforms. Our investors include Capital One and NEA. Most join us because they connect with our mission of democratizing access to credit for small businesses. If you are energized by the impact you can make at Prime, we’d love to hear from you! Position Location This role is available in the Bay Area or NYC. Time Zone Requirements The team operates in both East and West Coast time zones. Travel Requirements The team has regular onsite collaboration sessions. These occur several consecutive days per month either at the Bay Area or NYC office. If you need to travel to make these meetups, Prime will cover all travel related expenses. How You’ll Make an Impact As our Head of Credit, you will play a critical role in shaping our credit strategy and risk management framework. You will lead our efforts to develop, implement, and oversee credit policies and procedures that balance risk and reward, ensuring our portfolio's health and sustainability. Your leadership will drive our mission to provide accessible, responsible, and tailored financing solutions to SMBs, leveraging our data-forward approach to decision-making. Key Responsibilities * Play a leadership role with Product and collaborate closely with Engineering and Data Science teams to innovate and implement a range of credit products across multiple industry sectors that meet the evolving needs of SMBs. * Manage relationships with and reporting to balance sheet partners, investors, regulatory bodies, and other stakeholders, communicating credit performance and risk management strategies effectively. * Develop and refine the company's credit risk management strategy and policies in alignment with business objectives and requirements. * Lead the credit risk assessment framework, incorporating advanced data analytics and machine learning models to enhance decision-making and risk prediction. * Oversee the entire credit lifecycle, ensuring optimal performance and management of the loan portfolio, from origination through servicing to collections. * Provide leadership and direction to the credit and risk management teams, fostering a culture of continuous improvement and data-driven decision-making. * Stay abreast of industry trends, regulatory changes, and advancements in technology that can impact our credit risk framework and lending products. * Commit to integrating our core values of Win the Day, Get out of the Building, Embrace the Unknown, and Excellence as a Habit in all aspects of your daily responsibilities and professional interactions. Qualifications * 10+ years of experience in credit risk management, with a significant portion in the fintech sector and/or SMB lending. * Proven track record of developing and managing credit policies and risk assessment models, preferably with exposure to data science and analytics-driven environments. * Strong leadership skills, with the ability to inspire and manage a high-performing team in a fast-paced startup environment. * Deep understanding of regulatory compliance and reporting requirements relevant to fintech and lending industries. * Exceptional analytical and problem-solving skills, with a data-forward thinking approach. * Ability to thrive in a fast-paced, roll-up-your-sleeves, dynamic startup environment. * Excellent communication and stakeholder management abilities. * Bachelor's or Master's degree in Finance, Economics, Statistics, or a related field. Advanced degrees or certifications in risk management are a plus. What You'll Love * Competitive salary and equity grants * Top tier medical, dental vision insurance * Life insurance and disability benefits * Personal development, technology, and ergonomic budgets * 401K matching * Unlimited PTO, work from home flexibility, and parental leave * Transparent company culture and proactive communication via Weekly All Hands, Lunch & Learns, and monthly Founder AMAs * Senior team of experienced professionals highly motivated to solve tough problems and ship remarkable products Join our growing team as we build out the next generation of lending infrastructure for small businesses.

Enjoy collaborating closely with researchers and translating research ideas into reliable engineering systems. You’ll work at the intersection of machine learning systems and alignment research, partnering closely with researchers to translate novel techniques into production-grade training pipeli

Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. We’re looking for a highly motivated engineer with experience deploying machine learning algorithms to ph

A healthcare technology company in New York is seeking a lead deep learning engineer to develop groundbreaking sensing technology. You'll design and deploy computer vision models, optimize for edge deployment, and contribute to MLOps pipelines. The ideal candidate has a Master's or PhD in Machine Le

The Company is in search of a visionary and deeply technical VP of Engineering to lead its global engineering organization. The VP of Engineering will also be instrumental in leading AI initiatives, integrating advanced AI and machine learning capabilities into the platform, and will work closely wi

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

A leading AI research lab is seeking a Research Scientist/Engineer to advance the capabilities of their AI agent for code security.In this role, you will leverage machine learning techniques to develop innovative solutions to code security challenges.Candidates should possess a relevant advanced deg

Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis. Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. Machine Learning or Applied Research, focused on

As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. Lea

Candidates should possess a Master's or PhD in machine learning or computer vision, 5+ years of experience in deploying models, and strong C++ and Python skills. The role involves designing and optimizing computer vision models for edge deployment, contributing to healthcare solutions that significa

Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helpin

Machine Learning Research Scientist / Engineer, Reasoning About Scale At Scale AI, our mission is to accelerate the development of AI applications. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts,

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale. At Scale, our mission is to accelerate t

The goal of a 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. Our machine learning engineers take advantage of robust i

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.