NewAssociate, Quantitative Engineering Goldman Sachs & Co. LLCAssociate, Quantitative EngineeringNew York, NY$150,000–$189,000 / yearPrior experience must include one (1) year of experience (with a Master’s degree) OR two (2) years of experience (with a Bachelor’s degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance. Requires: Master’s degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and two (2) years of experience in job offered or a related quantitative engineering role.
Registered Nurse (RN) - Neurosurgery - Atlantic Highlands Advocate AuroraRegistered Nurse (RN) - Neurosurgery - Atlantic HighlandsHighlands, NJMust demonstrate knowledge of the principles of growth and development over the life span and possess the ability to assess data reflective of the patient's status and interpret the appropriate information needed to identify each patient's requirements relative to his/her age-specific needs, and to provide the care needed as described in the department's policies and procedures. Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more - so you can live fully at and away from work, including: Compensation .
Registered Nurse (RN) - Neurosurgery - Hillsdale Advocate AuroraRegistered Nurse (RN) - Neurosurgery - HillsdaleHackensack, NJMust demonstrate knowledge of the principles of growth and development over the life span and possess the ability to assess data reflective of the patient's status and interpret the appropriate information needed to identify each patient's requirements relative to his/her age-specific needs, and to provide the care needed as described in the department's policies and procedures. Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more - so you can live fully at and away from work, including: Compensation .
Machine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Tempus AI IncMachine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&DNew York City, NY$100,000–$150,000 / yearThe Machine Learning Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. You will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine.
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery GenentechMachine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug DiscoveryNew York City, New YorkThe expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Research Engineer, Machine Learning (Reinforcement Learning) AnthropicResearch Engineer, Machine Learning (Reinforcement Learning)New York City, NY$500,000–$850,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff Computer Vision And Machine Learning Engineer Geico InsuranceStaff Computer Vision And Machine Learning EngineerNew York City, NY$130,000–$260,000 / yearYou will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
Machine Learning Engineer (Staff & Principal) Tubi, Inc.Machine Learning Engineer (Staff & Principal)New York, NY$239,000–$342,000 / yearFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
Staff Computer Vision and Machine Learning Engineer GEICO GENERAL INSURANCE COMPANYStaff Computer Vision and Machine Learning EngineerNew York City, NY$130,000–$260,000 / yearYou will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
Machine Learning Engineer Staff & Principal Tubi IncMachine Learning Engineer Staff & PrincipalNew York, NY$239,000–$342,000 / yearFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
Senior Machine Learning Engineer - Video AI (Vision & Creative Systems) Warner Bros. Discovery IncSenior Machine Learning Engineer - Video AI (Vision & Creative Systems)New York, NY$155,120–$288,080 / yearWe focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next….
Staff Machine Learning Engineer, Diffusion, Generative Modeling And Inference SnapchatStaff Machine Learning Engineer, Diffusion, Generative Modeling And InferenceNew York, NY$229,000–$343,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience.
Remote | Machine Learning Research Scientist — $95–$115/hour 24-MagRemote | Machine Learning Research Scientist — $95–$115/hourNew York, New YorkRemoteSelected researchers will work on well-scoped but open-ended technical problems involving image models, language models, adversarial robustness, model compression, multilingual learning, and efficient training under constrained data and compute budgets. We are sharing a specialised consulting opportunity for experienced machine learning researchers with hands-on expertise training and improving deep learning models end-to-end across computer vision and language.
Lead AI Engineer-Machine Learning Lincoln Technical Institute, Inc.Lead AI Engineer-Machine LearningParsippany, NJLincoln Tech is seeking a Lead AI Engineer -- Machine Learning to build efficient, data-driven AI systems that advance our predictive automation capabilities. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related technical field (advanced degree preferred).
Staff Machine Learning Engineer, Document & Vision Intelligence Geico InsuranceStaff Machine Learning Engineer, Document & Vision IntelligenceNew York City, NY$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
Manager, Machine Learning Engineering Warner Bros. Discovery IncManager, Machine Learning EngineeringNew York, NY$187,670–$348,530 / yearBehind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next…. From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.
Machine Learning Senior Staff Engineer Entravision Communications CorpMachine Learning Senior Staff EngineerNew York, NY$200,000–$250,000 / yearOur service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms and demand-side platforms on a global scale. You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team.
Machine Learning Engineer Entravision Communications CorpMachine Learning EngineerNew York, NY$140,000–$170,000 / yearOur service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms and demand-side platforms on a global scale. You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team.
Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate PricewaterhouseCoopers LLPAcceleration Center- Agentic AI and Machine Learning Developer- Experienced AssociateNew York, NY$61,000–$100,000 / yearWithin our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Senior Principal Machine Learning Engineer - Optimization PubMatic IncSenior Principal Machine Learning Engineer - OptimizationNew York, NY$260,000–$330,000 / yearBenefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week. PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.