data scientist Jobs in New York United States

data scientist

2026 ai intern, long/short equities Jobs in New York United States

2026 ai intern, long/short equities

ai adoption specialist Jobs in New York United States

ai adoption specialist

ai data engineer Jobs in New York United States

ai data engineer

ai training - research scientist (est) Jobs in New York United States

ai training - research scientist (est)

applied ai ml director machine learning center of excellence

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job Responsibilities<ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities , and skills:<ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
#MLCOE_jobs
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director Machine Learning Center of Excellence

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium. 
 
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. 
 
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. 
 
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology 
 
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. 
 
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. 
 
You can learn more about Neuron 
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html 
https://aws.amazon.com/machine-learning/neuron/ 
https://github.com/aws/aws-neuron-sdk 
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 
 
Key job responsibilities 
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: 
 
<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul> 
A day in the life 
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. 
 
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative. 
 
About the team 
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

Crosby

<div>
 
 About Crosby AI
 
 
 
 Crosby is an AI-first legal platform reimagining corporate legal services from the ground up. We are a team of technologists and legal experts who build proprietary technology and human-in-the-loop workflows that meaningfully improve how lawyers and machines work together &mdash; delivering speed, consistency, and quality across high-stakes work.
 
 
 Our systems review complex documents faster and with exceptional accuracy, combining advanced AI with structured legal expertise. Clients receive AI-powered redlines, commentary, and negotiation guidance within hours, at a predictable, volume-based price.
 
 
 Backed by Sequoia, Index Ventures, and Bain Capital Ventures, we're building the end-to-end contracting platform for the next generation of fast-growing companies.
 
 
 
 The Team
 
 
 
 The Engineering team builds the core systems and infrastructure that power Crosby&rsquo;s AI-first legal platform. We work at the intersection of machine learning, product, and legal expertise to deliver intelligent, reliable systems that operate in high-stakes environments.
 
 
 We prioritize speed, ownership, and high standards &mdash; shipping quickly while maintaining rigor in everything we build.
 
 
 
 The Role
 
 
 
 As a Data Scientist at Crosby, you'll play a critical role in developing the models and data systems that power our AI-driven legal platform. You&rsquo;ll work across the full lifecycle &mdash; from data definition and labeling strategy to model development, evaluation, and iteration in production.
 
 
 You&rsquo;ll partner closely with engineers, product teams, and legal experts to translate complex legal workflows into structured machine learning systems. Beyond modeling, you&rsquo;ll help ensure our systems are accurate, reliable, and continuously improving in real-world use.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop evaluation systems: Build metrics, benchmarks, and experimentation frameworks to measure and improve model performance.
 </li>
 <li>
 Drive data strategy: Partner with legal and product teams to define labeling schemas, curate high-quality datasets, and improve data pipelines.
 </li>
 <li>
 Support production systems: Work closely with engineering to deploy models, monitor performance, and iterate based on real-world usage.
 </li>
 <li>
 Apply AI pragmatically: Leverage LLMs and other modern techniques to solve product problems, balancing sophistication with reliability and speed.
 </li>
 <li>
 Collaborate cross-functionally: Partner with engineering, product, and legal teams to deliver end-to-end systems that improve customer outcomes.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 1&ndash;5 years of experience in data science, machine learning, or applied NLP, ideally in a fast-paced startup environment
 </li>
 <li>
 Strong foundation in machine learning, statistics, and data analysis, with proficiency in Python
 </li>
 <li>
 Hands-on experience working with LLMs, NLP systems, or unstructured text data
 </li>
 <li>
 Experience working across the full ML lifecycle &mdash; from data curation and experimentation to deployment and monitoring
 </li>
 <li>
 Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions
 </li>
 <li>
 Strong communicator who can collaborate effectively with both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Equal Opportunity
 
 
 
 Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the New York City Fair Chance Act.
 
 
 Pursuant to New York Labor Law Section 194-b, the US Pay Range for this position is listed below. Final compensation will be determined based on skills, experience, and qualifications.
 
 
 
 Compensation Range: $200k&ndash;$250k
 
 
 
 Compensation Range: $200K - $250K
 
 
</div>

Data Scientist

Middesk

<div>
 
 About Middesk
 
 
 
 Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
 
 
 Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
 
 
 
 The Role:
 
 
 
 We&rsquo;re building AI-driven applications that power business onboarding, fraud prevention, and identity verification. With proprietary data assets and deep domain expertise, we&rsquo;re uniquely positioned to create a new generation of ML-powered solutions for trust and risk.
 
 
 We&rsquo;re looking for a
 
 hands-on Machine Learning Engineer with strong Data Science expertise
 
 to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment, monitoring, and iteration in production. Unlike larger organizations where responsibilities are split, you&rsquo;ll have the opportunity to
 
 own models from concept to production
 
 while working closely with product managers, engineers, and data platform teammates who support and amplify your work.
 
 
 This is a rare chance to join an
 
 earlier-stage company
 
 where you&rsquo;ll have broad visibility and influence, and where your ML systems will have immediate and measurable impact on customers.
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 End-to-end ML ownership: Lead the full lifecycle of ML systems &mdash; feature engineering, model design, training, evaluation, deployment, monitoring, and iteration.
 </li>
 <li>
 Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver.
 </li>
 <li>
 Design &amp; deploy production models: Build high-performance ML applications in risk, fraud, trust &amp; safety, and compliance domains.
 </li>
 <li>
 Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability.
 </li>
 <li>
 Experiment &amp; learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact.
 </li>
 <li>
 Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 4+ years applied ML experience with proven impact in risk, fraud, trust &amp; safety, compliance, fintech, or other high-stakes domains.
 </li>
 <li>
 Track record of owning ML models end-to-end &mdash; from research and design to deployment, monitoring, and retraining in production.
 </li>
 <li>
 Strong software engineering skills (Python, ML frameworks, deployment pipelines) and ability to write reliable, production-grade code.
 </li>
 <li>
 Hands-on experience with ML infrastructure such as feature stores, model management, training/serving pipelines, and monitoring tools.
 </li>
 <li>
 Comfortable as a senior IC: you can set technical direction, establish best practices, and mentor peers while collaborating effectively across teams.
 </li>
 <li>
 Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML systems to life.
 </li>
 <li>
 Deep expertise in classification challenges such as imbalanced labels, sparse signals, cold start, and production version management.
 
 
 </li>
 </ul>
 Nice to Haves:
 
 
 <ul>
 <li>
 B2B SaaS experience, ideally building ML products for enterprise customers.
 </li>
 <li>
 Familiarity with graph, LLM-based feature generation, or AI agent workflows.
 </li>
 <li>
 Experience scaling ML across multiple products or risk domains.
 </li>
 </ul>
</div>

Machine Learning Engineer

<div>JOB DESCRIPTION 
As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.
As a Associate Applied AI/ML Scientist within our Payment Solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our payment solutions and stimulate business expansion. Your role will involve researching, experimenting, developing, and transitioning high-quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Working in collaboration with cross-functional teams, you will identify opportunities for AI/ML applications within the payments ecosystem.
Job Responsibilities:<ul><li>
Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments&rsquo; domain.</li><li>
Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.</li><li>
Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.</li><li>
Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
Bachelor's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.</li><li>
Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.</li><li>
3+ years of extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.</li><li>
Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.</li><li>
Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies.</li><li>
Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.</li></ul>
Preferred Qualifications, capabilities and skills<ul><li>
Experience in the financial services industry, particularly within investment banking operations.</li><li>
Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Associate

Optum

<div>Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. 
Optum AI team members:<ul><li>
Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone</li><li>
Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development</li><li>
Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities</li></ul> 
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 
Primary Responsibilities:<ul><li>
Build and test deep learning and traditional ML models in distributed computing environments</li><li>
Develop robust machine learning pipelines and ML Ops procedures to support production processes</li><li>
Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches</li><li>
Develop robust modules for evaluation and drift detection</li><li>
Design and plan experiments, conduct statistical analysis and create data visualizations</li><li>
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs</li><li>
Develop code and model documentation and assist with model governance approvals</li></ul> 
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
BS in computer science or a related quantitative field</li><li>
2+ years of AI/ML experience</li><li>
2+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow</li><li>
Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification</li></ul> 
Preferred Qualifications:<ul><li>
MS or PhD in computer science or related quantitative field</li><li>
Experience with distributed computing approaches such as Spark</li><li>
Experience with Snowflake and other relational databases</li><li>
Experience building Python libraries</li><li>
Experience working on collaborative software projects using GitHub</li><li>
Experience developing simple UIs for POCs demonstrating AI/ML models</li><li>
Proven solid technical communication skills</li></ul><ul><li> 
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug free workplace. Candidates are required to pass a drug test before beginning employment.</div>

Senior AI/ML Scientist - Remote

Baseten

<div>
 
 About Baseten
 
 
 
 Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
 
 
 
 THE ROLE
 
 
 
 
 Note: This is an in-person role based in New York, and we&rsquo;d like you in the office five days a week.
 
 
 
 As our Office Manager, you&rsquo;ll own the rhythms and details that make the New York office work: facilities coordination, vendor management, supplies and pantry programs, visitor and onboarding readiness, and a high bar for cleanliness and functionality.
 
 
 This role is hands-on and highly collaborative. Baseten moves
 
 fast
 
 , and you should be ready to hit the ground running. You&rsquo;ll report to the Workplace Experience Manager, be a founding member of our Workplace Experience Team (WPX) and partner with IT, People Ops, and EA&rsquo;s to proactively solve problems before they impact employees.
 
 
 This role is based in hospitality with employees as the customers. You&rsquo;ll create an exceptional workplace experience by pairing high-touch hospitality with high-precision execution. Employees will know you as the calm, friendly point of contact, while you quietly orchestrate vendors, access workflows, and last-mile details behind the scenes so the office runs smoothly every day.
 
 
 
 OUR NEW YORK OFFICE
 
 
 
 <ul>
 <li>
 Union Square
 </li>
 <li>
 Up to 100 people onsite per day
 </li>
 <li>
 Rapidly growing, with frequent visitors
 </li>
 <li>
 ~9k sq ft
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Events and culture
 
 
 
 <ul>
 <li>
 Plan and execute a thoughtful calendar of employee-facing events.
 </li>
 <li>
 Own NY-based event production end-to-end: vendor sourcing, catering and rentals, contracts, run-of-show, onsite setup, and day-of execution.
 </li>
 <li>
 Support logistics for team onsites hosted in NY, including space setup, catering coordination, and on-the-ground execution.
 </li>
 <li>
 Track budgets, contracts, and feedback to continuously improve quality and efficiency.
 </li>
 <li>
 Partner with the Workplace Experience team to support planning and execution of bi-annual company off-sites (logistics, vendor coordination, onsite support as needed).
 
 
 </li>
 </ul>
 
 Office operations and facilities
 
 
 
 <ul>
 <li>
 Serve as the first point of contact for employees and guests, creating a welcoming, professional experience.
 </li>
 <li>
 Own daily office operations: shared space upkeep, inventory management, and lunch/pantry/coffee programs.
 </li>
 <li>
 Manage relationships with building management and service vendors (janitorial, maintenance, repairs, security), including contracts and COIs.
 </li>
 <li>
 Oversee physical security and access processes (badge coordination, visitor workflows, vendor access, and compliance with building requirements).
 </li>
 <li>
 Partner with the IT team to ensure office-facing systems (A/V, conference rooms, access workflows) function reliably.
 </li>
 <li>
 Identify and implement process improvements that reduce friction and increase reliability.
 </li>
 <li>
 Support employee travel between offices including making sure they have access, lunch and a desk.
 
 
 </li>
 </ul>
 
 Space and workplace logistics
 
 
 
 <ul>
 <li>
 Support new hire onboarding logistics, including workspace setup.
 </li>
 <li>
 Maintain seating plans and manage desk moves, team reconfigurations, and workspace assignments.
 </li>
 <li>
 Anticipate workspace and supply needs (desks, chairs, monitors, meeting rooms, shared supplies) and coordinate procurement.
 </li>
 <li>
 Partner with the Workplace Experience Manager to support office buildouts, expansions, and moves as needed.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5+ years of experience in office management, workplace operations, facilities coordination.
 </li>
 <li>
 Ability to work autonomously as you&rsquo;ll be the only WPX member in NY
 </li>
 <li>
 Strong vendor management skills, including working through issues quickly and professionally.
 </li>
 <li>
 Excellent organizational habits and follow-through, with comfort juggling multiple requests at once.
 </li>
 <li>
 Experience bringing people together and creating space for culture in a rapidly changing environment (e.g., local programming, office moments, team rituals).
 </li>
 <li>
 High attention to detail and pride in running a tight, welcoming office.
 </li>
 <li>
 Clear written and verbal communication skills.
 </li>
 <li>
 Calm under pressure, adaptable, and proactive about solving problems before they escalate.
 </li>
 <li>
 Availability and interest in being onsite in our New York office five days a week.
 </li>
 <li>
 Availability to accommodate early or late hours as needed for event production and onsite coordination.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive compensation, including meaningful equity.
 </li>
 <li>
 100% coverage of medical, dental, and vision insurance for employee and dependents
 </li>
 <li>
 Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Company-facilitated 401(k)
 </li>
 <li>
 Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
 
 
 </li>
 </ul>
 
 Apply now
 
 to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
 
 
 
 At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
 
 
 
 Compensation Range: $110K - $135K
 
 
</div>

Office Manager (New York)

Explore 781+ Applied ai ml director machine learning center of excellence in New York United States this April. Find roles across top companies and apply now to boost your career.