Machine learning jobs in North Bergen, New Jersey - Page 15Create job alerts

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

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.

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

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

A leading AI firm in New York is seeking a Machine Learning Research Engineer to contribute to innovative AI solutions.You'll build synthetic data pipelines, create actionable insights, and enhance our agent-building product.The ideal candidate has over 3 years of experience with LLMs, relevant publ

Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. Uber is

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

A leading technology platform in New York is seeking a Machine Learning Engineer to build statistical models and optimize processes within the marketplace.The ideal candidate will have a PhD in a quantitative field and at least 4 years of experience in machine learning.Strong programming skills in P

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

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

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

A major media and entertainment company seeks a data scientist to design and improve machine learning models that analyze subscriber behavior. The role includes deep analysis of data and collaboration with business stakeholders to drive growth and retention.

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.

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,

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

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.

Current research includes designing and building harnesses to test AI models for dangerous capabilities, uplift research related to potentially dangerous AI-enabled uplift, developing AI-assisted evaluation pipelines, and collaborating with policymakers, engineers, and researchers to establish stand

A leading AI data foundry is seeking a Machine Learning Systems Research Engineer to optimize and develop their training frameworks for next-generation AI models. Ideal candidates will have 1-3 years of LLM training experience, strong software engineering skills, and advanced degrees in Computer Sci

A leading AI technology firm in Washington DC is seeking a Machine Learning Engineer to design automated evaluation pipelines. The role involves working with advanced AI systems in government settings to ensure reliability and safety.

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

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

A leading AI technology company in New York is hiring a Machine Learning Research Engineer to develop next-gen training algorithms and optimize ML systems.

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

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

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

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

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

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

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

A technology firm is seeking a Machine Learning Engineering Manager to guide a team in developing AI systems for public sector customers.This role requires strong leadership in pushing the boundaries of AI technologies while aligning with government mission needs.Ideal candidates will have a technic

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

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

A leading AI technology company in Seattle seeks a Machine Learning Research Scientist/Engineer to transform research ideas into prototypes.Candidates should have practical experience with large language models (LLMs) and proficiency in frameworks like PyTorch, TensorFlow, or JAX.This full-time role

As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e. C

We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). You will collaborate with researchers and engineers to define best practices in data-driven AI development. Research and develop novel post-training techniques, including S

Tech Lead Manager, Machine Learning Research Scientist- LLM Evals at Scale AI leads a team of research scientists and research engineers to develop and implement novel evaluation methodologies, metrics, and benchmarks for large language models. Scale employees may also receive equity-based compensat

A fast-growing tech company in San Francisco is looking for a Software Engineer to lead a team in building their data platform for real-time machine learning inference. The ideal candidate will have over 5 years of engineering experience, strong programming skills, and the ability to bridge technica

A leading sports and entertainment company seeks a Senior Data Scientist to oversee analytics projects, including Bayesian modeling and campaign ROI measurement.You will lead the development of machine-learning solutions using Python, while partnering closely with teams to inform strategies for fan

A leading generative AI company in San Mateo is seeking an Applied Machine Learning Engineer to bridge AI research with real-world applications. Ideal candidates hold a Bachelor's in a technical field and have 5+ years of software engineering experience, preferably in customer-facing roles.

A leading ride-sharing company is seeking a Senior Product Manager for Rider Personalization to enhance user experience through innovative machine learning solutions.

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

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for an Associate Director of Special Populations Interventions with a Master's Degree and at least 5 years of experience with a proven record of leading exceptional academic outcomes in special education and demonstrated leadership at the school or network level. Responsibilities: • Special Populations Vision and Strategy: Design a rigorous and cohesive special populations vision PK-12 to create multi-tiered systems of support (MTSS) for Zeta students. Lead the Zeta special populations vision, strategy, and implementation to provide excellent learning opportunities focused on Special Education, English Language Learning, Social Emotional Learning, and our Zeta Advanced Program., • Achieve Annual Academic Goals: Lead the special populations program with a high bar of excellence to meet rigorous annual goals assessments including AP exams, state tests, and internal Zeta assessments for students across PK-12., • Leadership Presence and Problem Solving: Develop authentic and meaningful relationships across Zeta to collaborate effectively with team members to support growth in service of student learning. View every challenge as an opportunity for root cause analysis and change, • Curriculum and Assessment Management: Create and curate special populations curriculum and assessment materials aligned with the New York State Learning Standards and our Zeta Learning Competencies, including unit plans, lesson plans, and assessments. The special populations curriculum and assessment scope includes special education, English language learning, social emotional learning, and our Zeta advanced program, • Professional Learning: Design and lead professional learning trainings for special populations for school principals, assistant principals, and teachers to lead to excellent academic results, • Instructional Management: Develop clear instructional management plans to ensure all special populations instruction is consistently implemented at a high level. Observe instruction across Zeta schools and develop leaders and teachers in service of ensuring programming is implemented at a high level to lead to exceptional academic outcomes, • Data Analysis: Study data to identify gaps and take action to ensure leaders and teachers are using data to increase learning outcomes, • Feedback Driven: Embrace a growth mindset. Actively seek, provide, and incorporate feedback, while fostering a culture of continuous improvement and collaboration, • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team

Job Description Mercor is hiring on behalf of an AI lab for experienced retail investors and active traders who regularly use platforms such as Wealth simple, Robinhood, Charles Schwab, eToro, Interactive Brokers, or similar. This role is for individuals who are deeply engaged in personal investment management, equity and ETF trading, or crypto markets, and can provide practical insights into how independent investors think, trade, and make decisions. In addition to sharing domain expertise, you’ll contribute to data annotation and model training work, helping the AI lab improve systems that understand retail trading behavior and investment decision-making. Responsibilities: * Provide detailed insights into how retail investors analyze markets, execute trades, and manage portfolios. * Contribute to data annotation, evaluation, and prompt-based labeling to help train AI models for financial understanding. * Review and categorize trading-related content, investor communications, or platform data for machine learning applications. * Collaborate with research teams to refine AI model behavior in investment analysis, portfolio reasoning, and financial data interpretation. * Test and provide structured feedback on investment tools, portfolio dashboards, and retail investor interfaces. Ideal Background: * Active or experienced retail investor using one or more platforms: Robinhood, Wealthsimple, Charles Schwab, Fidelity, eToro, Interactive Brokers, SoFi, or Webull. * Hands-on experience trading stocks, ETFs, crypto, or derivatives. * Strong understanding of retail investor psychology, risk assessment, and market behavior. * Comfortable labeling and categorizing financial or trading data with precision and consistency. * Bonus: Experience contributing to online investor communities (e.g., r/wallstreetbets, FinTok, finance Twitter, or Discord trading groups). Compensation & Engagement: * Type: Hourly contractor on Mercor * Hours: ~20–30 hours per week * Payment: Weekly via Stripe * Location: Fully remote / flexible

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