Trabajos machine learning en North Bergen, New Jersey - Page 13Crear alertas

Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Bachelors degree or Masters degree in Compute

Work closely with other Meta Sales teams to unlock and develop new opportunities by leverage any and all of Meta's understanding of business goals and industry trends. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for emp

Ideal Candidate Profile Senior clinician, physician-executive, or healthcare leader with oncology domain expertise Demonstrated experience with AI, machine learning, digital health, or advanced analytics in healthcare Familiarity with clinical workflows, EHR environments, and enterprise adoption c

LOCATION: U.S. locations - remote/hybrid (8 days a month in the office). For physicians - Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment (within 50 miles of an office). Candidates not within commuting distances will be considered for remote employment. For other clinicians, you will be hybrid to office locations. Please see eligible locations on the posting. Overview Wolters Kluwer, UpToDate and Lexidrug is seeking experienced clinicians to join our team as Clinical Artificial Intelligence (AI) Strategists. This role is central to shaping the future of trustworthy, clinically intelligent AI systems. You will work cross-functionally to embed clinical reasoning into AI architecture, guide system validation, and ensure outputs remain faithful to our trusted content store. You will help define a new standard for clinical decision support-leveraging your clinical expertise across medicine, patient safety, quality, and health system operations to build AI that truly supports patient care. Responsibilities Clinical AI Strategy & Development (80% to 100%) * Collaborate on cross-functional teams to design and refine AI system, include strategic approach and technical exaction of architecture, prompt strategies, and clinical search logic. * Define and maintain clinical indices and decision pathways that reflect real-world reasoning across specialties. * Lead and contribute to validation processes. * Development of clinical test sets and benchmarks. * Execution of red teaming protocols and safety checks. * Continuous expert testing to ensure outputs are clinically faithful and meaningful. - * Translate user feedback into system improvements, working closely with product, engineering, and editorial teams. Monitor and research regulatory frameworks and risk management strategies * relevant to clinical AI. * Serve as a clinical liaison between the AI team and traditional editorial operations, helping to align workflows and standards. * Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership. Clinical Practice (optional up to 20%) Education : MD, DO, PharmD, Advanced Practice Provider, or equivalent clinical degree: M.D. strongly preferred Experience: * Minimum 5 years of clinical practice, with demonstrated depth in patient care and breadth across domains such as hospital administration, patient safety, quality improvement, clinical research, medical education, or publishing. * Active clinical practice preferred; board certification preferred. * A valid medical license in at least one U.S. state, preferred * Familiarity with evidence-based medicine and editorial workflows. * Strong analytical and communication skills; ability to translate clinical reasoning into system logic. * Experience working in agile, cross-functional environments; ability to build trust and break down silos. * Comfort with ambiguity and rapid iteration; ability to pivot quickly based on feedback and evolving strategy. * Strategic mindset with ability to contribute to central clinical content strategy and influence product direction. * Prior experience with AI, informatics, machine learning, or digital health innovation is a plus. TRAVEL: 1 week every six weeks for team meetings #LI-Remote Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $144,500.00 - $258,300.00 USD This role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information : Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request. EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

What you’ll do Leverage advanced data analytics to derive insights and optimize credit strategies Perform portfolio analytics including out‑of‑trend investigations and attribution analysis Partner with Machine Learning and Engineering on building effective monitoring and credit risk capabil

A leading design platform is looking for applied scientists with expertise in Machine Learning and AI to enhance their products using advanced AI technologies.The role involves driving research, building generative AI models, and collaborating closely with engineers to implement AI features.Candidat

Additionally, the company’s research & development division holds the world’s largest database of de-identified EEG recordings and is applying machine learning to improve the overall quality and efficiency of EEG testing. What is an EEG you might ask ? EEGs are necessary tests where electrodes (

A healthcare technology company is seeking a Machine Learning Engineer to develop AI-driven solutions. The position offers a competitive salary, emphasizing work within a collaborative team environment aimed at transforming healthcare through innovative technologies.

Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers. Java Job placement Program: Get Hired for Java Full stack Jobs. If you're a Java developer, software programmer, data scientist, or data analyst struggling to break into the

We are looking to hire a Campus Recruiter to help us develop strategy and grow our recruiting efforts as we identify, interview, and hire interns and new graduates for both our Research and Machine Learning Research teams. But our campus recruitment efforts are growing fast, and we need additional s

Knowledge of Statistics, Databricks, Snowflake, Pyspark , PowerBI, Tableau, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. For data Science/Data Engineer, Data Analyst/AI/Machine learning Positions. If you get emails from our Job Placement team and are not interested plea

We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. As a Lead Applied Scientist, you will define research strategy and lead high-impact initiatives that shape Thomson Reuters' AI/ML roadmap across multiple product feature

You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform. Participates in the improvement of business processes, including but not limited to the following

At Capital One, we are creating responsible and reliable AI systems, changing banking for good.For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.Our investments in technology infrastructure and world-class talent — a

Lead AI Engineer (FM Hosting, LLM Inference).At Capital One, we are creating responsible and reliable AI systems, changing banking for good.For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.Our investments in technolog

Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience; or a Master's degree in Mathematics, Information Systems, St

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. Minimum of 6 years of extensive full-time experience in Data Analysis, Sta

Internship or project experience in machine learning, AI engineering, or related roles—especially in insurance or financial services. Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies. As an AI/ML Engineer, you'll collaborate with senior team membe

Required Qualifications 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles Advanced proficiency in Python, with demonstrated experience building production-grade data, ML, or GenAI pipelines Hands‑on experience working with Generative

A rapidly growing AI startup in New York is seeking a Business Manager specializing in Machine Learning and Computer Vision to lead a team. This role involves balancing engineering and leadership to develop advanced vision solutions and integrate them with AI models.

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. This position offers the opport

Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineering Intern. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. Work with senior technical staf

As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other engineers — who are driving real‑world impact in AI development. Our platform offers an engaging b

Senior Lead AI Engineer (LLM Customization and Finetuning).At Capital One, we are creating responsible and reliable AI systems, changing banking for good.For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.Our investment

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond. At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit ___. Overview of the role: We are seeking a Vice President, Industry Relationships to lead our engagement across the advertising, policy, and regulatory ecosystem. This role sits at the intersection of ad tech, policy, and product, and will serve as a key external and internal voice on complex industry issues, including privacy, identity, measurement, and emerging AI governance. This leader will represent the company with trade bodies, standards organizations, and regulators, while also translating evolving external dynamics into clear, actionable strategies for internal teams. The ideal candidate brings deep fluency in ad tech mechanics, not just policy frameworks, and is equally comfortable influencing external stakeholders and advising product, legal, and commercial teams. The impact you'll make: • Represent the company across key industry forums, trade bodies, and regulatory discussions, building credibility and influence without a traditional lobbying posture, • Engage with organizations such as the Interactive Advertising Bureau, IAB Tech Lab, Association of National Advertisers, and other relevant industry groups and regulators like the FTC, CMA, EDPB, DG COMP, the AI Office, CFPB, FCC, ASA, JFTC, etc., • Lead conversations on complex topics, including privacy frameworks, consent signals, identity/addressability, measurement standards, competition concerns, and AI governance, • Translate ambiguous or evolving external developments into clear, actionable guidance for Product, Legal, Revenue, and Communications teams, • Partner closely with Product and Commercial leaders to ensure industry changes are reflected in product roadmaps and go-to-market strategies, • Serve as a trusted internal advisor on regulatory risk, platform policy changes, and industry standards, • Help shape the company’s point of view on critical industry issues and ensure consistent external messaging, • Build and maintain a strong network across regulators, platforms, and industry leaders, particularly within the New York ecosystem, • Identify emerging regulatory, policy, and industry trends that may impact the company’s technology, data practices, and business model, proactively shaping internal strategy and external engagement, • Collaborate with senior leadership to ensure the company’s perspective is effectively represented in industry initiatives, standards development, and cross-company collaborations, • Strengthen the company’s visibility and credibility across the broader advertising ecosystem by cultivating relationships with key stakeholders, including platforms, publishers, regulators, and policy leaders The experience we need: • 15+ years of experience in digital advertising, MarTech, media policy, or related fields, • Deep, hands-on fluency in ad tech mechanics, including identity, addressability, measurement, and data infrastructure—not just policy interpretation, • Significant experience engaging with trade bodies and standards organizations, • Strong understanding of regulatory frameworks, especially U.S. state privacy laws, Federal Trade Commission considerations, platform policies, and emerging AI governance, • Experience in senior roles such as General Counsel, Chief Privacy Officer, policy leader, or standards executive within ad tech or adjacent industries, • Demonstrated ability to translate complex external developments into practical business and product decisions (“operator mindset”), • Executive presence with the ability to navigate nuanced, high-stakes discussions with regulators, partners, and senior stakeholders, • Demonstrated credibility and influence within industry forums, policy discussions, or standards-setting bodies, • Strong ability to bridge policy, technology, and commercial considerations in order to guide strategic decision-making, • Experience working cross-functionally with product, legal, and revenue teams to translate industry developments into scalable platform capabilities or market strategy, • Based in New York, with an established network across the advertising and media ecosystem At InMobi, you’ll be surrounded by people who… • Think big and act fast: We’re entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility, • Believe in lifelong learning: We welcome feedback, challenge ourselves to grow, and aren’t afraid to take smart risks Award-winning culture, best-in-class benefits Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $257,920 — $346,550 USD (min to max of base salary pay). This salary range is applicable to our offices located in California and New York*. In addition, an InMobian may also receive variable pay in the form of an annual variable bonus or quarterly variable bonus/sales incentive, as deemed per policy, in addition to fixed compensation. *Our ranges may vary based on the final location or region of the roles in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company’s best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our U.S. benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch is provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • Employee Assistance Program (EAP) If this sounds like the kind of team, role, values, benefits, and challenges that excite you, we’d love to hear from you. Go for it! InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees

Senior Director, Applied Research.At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.From informing customers ab

A leading financial services company is seeking a data scientist to leverage large datasets, build machine learning models, and mentor junior staff.

A prominent music streaming company is seeking a Senior Research Scientist for their Artist-First AI Music lab in New York City.This role involves conducting innovative research in music generation and machine learning to enhance artist-fan connections.The position offers a salary range of $164,231

As a key contributor, you will design and implement scalable machine learning and AI-driven solutions to solve complex business challenges. This role is ideal for a hands-on, innovative professional passionate about delivering real-world business impact through advanced data modeling and machine lea

A global consulting firm is looking for an AI/Machine Learning Engineer, Manager Consultant to enhance AI systems and directly manage teams. This position requires extensive experience in developing high-impact AI solutions, strong technical skills especially in Python and Generative AI models, and

As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other engineers — who are driving real‑world impact in AI development. Our platform offers an engaging b

About the job Remote Machine Learning Engineer Job Description We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Qualifications Expe

A healthcare technology company in Jersey City is seeking Senior Machine Learning / Software engineers to design, build, and deploy scalable ML systems for biomedical information processing.This role demands strong knowledge in machine learning and software engineering best practices.The ideal candi

Technical Program Manager, Trade and Risk Platform | Acorns Acorns is seeking a Technical Program Manager to lead the evolution of our Trade and Risk Platform. Technical Savvy: A deep understanding of APIs, SQL, and the mechanics of Machine Learning decisioning engines. You understand how risk and o

A leading analytics consulting firm is looking for a Principal Decision Scientist to lead the development of machine learning solutions.This role involves defining business objectives, managing client relationships, and developing technical solutions that utilize data science, AI, and automation.The

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.We are looking for experienced quantitative professionals to help advance AI development.AI models are increasingly capable of performing com

Senior Machine Learning Scientist - Pricing (Open to Remote) The Data Science team at Penguin Random House is seeking an experienced machine learning scientist to drive a suite of e‑book forecasting and pricing products. We are a leading publishing house that leverages cutting‑edge AI and machin

AI concepts such as machine learning, natural language processing, and predictive analytics.AWS Services: DynamoDB, Lambda.Experience with process mapping, data analysis, and requirements gathering.Excellent communication and stakeholder management skills.Proficiency in tools such as Excel, SQL, Pow

Applied Researcher I (AI Foundations).At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.From informing customer

Role focus: Lead development and deployment of novel applications leveraging gen AI models, translating research into real-world products that deliver impact for business.Technical Requirements: Experience in cloud computing, machine learning infrastructure and product launches, with strong AWS serv

Additionally, the company’s research & development division holds the world’s largest database of de-identified EEG recordings and is applying machine learning to improve the overall quality and efficiency of EEG testing. What is an EEG you might ask ? EEGs are necessary tests where electrodes (

Machine Learning Scientist (Quantitative Strategies).

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 focus on machine learning architectural design, develop and review model and application code, and ensure high availability and

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 focus on machine learning architectural design, develop and review model and application code, and ensure high availability and

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 focus on machine learning architectural design, develop and review model and application code, and ensure high availability and

Internship or project experience in machine learning, AI engineering, or related roles—especially in insurance or financial services.

The Stores Economics and Sciences team is a central science team that supports Amazon's Retail and Supply Chain leadership. Experience with big data and machine learning or data science. This role will contribute to developing the Economics and Science products and services in the Fee domain, with s

As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other engineers — who are driving real‑world impact in AI development. Join the DataAnnotation team and