software engineer

artificial intelligence engineer Jobs in New York

artificial intelligence engineer

ai engineer ii

applied ai engineer

applied ai enginner

ai engineer

Mirage

<div><p>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone.<br>
<br>
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.</p><p><b><br>
More about us</b></p><p>
Product<b> </b>(Captions by Mirage)
</p><p>Research<b> </b>(Seeing Voices, technical-white-paper)</p><p>
Updates<b> </b>(Mirage on X / twitter)</p><p>
TechCrunch, Forbes AI 50, Fast Company (press)</p><p><b><br>
Our Investors</b></p><p>
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including <b>Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz,</b> <b>General Catalyst</b>, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.</p><p><i>
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
</i></p><p><b>About the Role</b><br>
Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You&rsquo;ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.</p><p>
This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation.</p><p><b>
Responsibilities</b></p><ul><li><p>
Train and optimize large-scale video and multimodal models</p></li><li><p>
Improve efficiency across training and inference (memory, latency, cost)</p></li><li><p>
Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation</p></li></ul><ul><li><p>
Build and maintain distributed training systems</p></li><li><p>
Optimize GPU utilization, parallelism, and throughput</p></li><li><p>
Develop tooling for experimentation, evaluation, and debugging</p></li></ul><ul><li><p>
Translate research models into robust, production-ready systems</p></li><li><p>
Monitor and improve model performance in real-world usage</p></li></ul><p><b>
What makes you a great fit</b></p><ul><li><p>
BS/MS/PhD in CS, ML, or related field</p></li><li><p>
2+ years of professional industry experience</p></li><li><p>
Strong experience in deep learning systems and infrastructure</p></li><li><p>
Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)</p></li></ul><ul><li><p>
Experience scaling and optimizing large models under low-latency inference constraints</p></li><li><p>
Strong debugging and performance profiling skills</p></li><li><p>
Ability to move quickly from prototype to production</p></li></ul><h3 class="jobSectionHeader"><b>
Benefits:</b></h3><ul><li><p>
Comprehensive medical, dental, and vision plans</p></li><li><p>
401K with employer match</p></li><li><p>
Commuter Benefits</p></li><li><p>
Catered lunch multiple days per week</p></li><li><p>
Dinner stipend every night if you're working late and want a bite!
</p></li><li><p>Grubhub subscription</p></li><li><p>
Health &amp; Wellness Perks</p></li><li><p>
Multiple team offsites per year with team events every month</p></li><li><p>
Generous PTO policy</p></li></ul><p>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p><i>
Please note benefits apply to full time employees only.</i></p><p>
Compensation Range: $175K - $275K</p></div>

Research Engineer, Generative Video

Uber

<div><b>About the Role</b>
<br>
<br>
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
<br>
<br>
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
<br>
<br>
<b>What You'll Do</b>
<br>
<br>
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
<br>
<br>
<b>Basic Qualifications</b>
<ul><li>4+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul><b>Preferred Qualifications</b>
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization<br>
<li>
</li></ul><br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD $182,000 per year - USD $202,000 per year.<br>
<br>
For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.<br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.<br>
<br>
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.<br>
<br>
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.<br>
<br>
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.<br>
<br>
<b>Ready to Ride?</b><br>
<br>
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.<br>
<br>
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
<br>
<br>
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.<br>
<br>
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Senior Machine Learning Engineer

Protiviti

<div><p><b>JOB REQUISITION
</b></p>AI &amp; Workforce Signals Analyst
<p></p><p><b>LOCATION
</b></p>NEW YORK CITY
<p></p><p><b>ADDITIONAL LOCATION(S)
</b></p><p></p><p><b>JOB DESCRIPTION
</b></p><div><div><p><b><i>You Belong Here
</i></b></p></div><div><p>The Protiviti Career provides opportunity to learn, inspire, and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean into our mission: <b>We Care. We Collaborate. We Deliver.
</b></p></div><div><p>At every level, we champion leaders who live our values of <b>integrity, inclusion, innovation, and commitment to success </b>. Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm.
</p></div><p></p><div><p><b><i>Where We Need You
</i></b></p></div><div><p>We are looking for an AI &amp; Workforce Signals Analyst to join our People Analytics team. Protiviti works in a hybrid environment and this role requires that you work in-person in our office several times per week.
</p></div><p></p><div><p><b><i>What You Can Expect
</i></b></p></div><div><p>This role is designed for a technically strong, AI-forward individual who is passionate about applying artificial intelligence, NLP, and automation to people and workforce data at enterprise scale. You will work at the intersection of people data, advanced analytics, and AI engineering , building production-ready solutions that generate insights and signals across skills, roles, experiences, engagement, learning, and talent movement. This role goes beyond traditional reporting to enable predictive, explainable, and scalable workforce intelligence.
</p></div><div><p>You will make an impact by embodying a key component of our mission &ldquo;We Deliver.&rdquo; In this role you will partner with HR, IT, and business stakeholders to build AI-powered tools that help leaders better understand and act on workforce signals , translating advanced models into insights people across the enterprise can trust and use.
</p></div><p></p><div><p><b><i>What You Will Be Doing
</i></b></p></div><div><ul><li><p>Design and implement AI-based signal generation across people data, including skills inference, engagement signals, and talent movement patterns.
</p></li><li><p>Apply natural language processing (NLP) and Large Language Models (LLMs) to extract aggregated insights from HR data such as anonymized survey comments, performance feedback, project feedback, collaboration behaviors, and learning content.
</p></li><li><p>Develop explainable AI outputs that help leaders understand not just what is happening in the workforce, but why.
</p></li><li><p>Build agentic AI workflows that automate and augment people analytics processes (e.g., skills validation, data quality checks, insight generation).
</p></li><li><p>Reduce manual analytics effort while maintaining transparency, accountability, and governance.
</p></li><li><p>Integrate AI capabilities with enterprise people systems (HRIS, skills platforms, learning systems, survey tools).
</p></li><li><p>Design and maintain data architectures that securely combine LLM reasoning with people data.
</p></li><li><p>Partner with HR, IT, and stakeholders to ensure solutions align with enterprise privacy, security, and responsible AI standards.
</p></li><li><p>Deliver scalable, production-ready AI solutions that meet enterprise performance and quality standards.
</p></li><li><p>Continuously evaluate and update model performance, relevance, and trustworthiness.
</p></li><li><p>As the People Analytics team partners across a global organization, you may occasionally be required to work outside typical business hours to accommodate meetings across multiple time zones.
</p></li></ul></div></div><p></p><div><div><p><b><i>What Will Help You Be Successful
</i></b></p></div><div><ul><li><p>You care about applying technology to real human problems, thrive in a dynamic environment, embrace change with agility, strive for excellence, and champion Protiviti&rsquo;s organizational culture
</p></li><li><p>You can communicate technical concepts clearly and apply them to a business context
</p></li><li><p>Strong proficiency in Python and experience building APIs or data pipelines
</p></li><li><p>Hands-on experience with LLMs, NLP, and generative AI
</p></li><li><p>Experience working in cloud environments (Azure preferred)
</p></li><li><p>Strong analytical and problem-solving skills, with a focus on building explainable, trustworthy AI outputs
</p></li><li><p>Comfortable collaborating in multi-functional teams in parallel to working on independent projects
</p></li><li><p>Strong verbal and written communication skills
</p></li></ul></div><p></p><div><p><b><i>Your Educational and Professional Qualifications
</i></b></p></div><div><ul><li><p>Bachelor&rsquo;s degree required; advanced degree preferred
</p></li><li><p>Degree in Computer Science, Data Science, Analytics, Engineering, or a related field
</p></li><li><p>1-3 + years of relevant experience
</p></li></ul></div><p></p><div><p><b><i>Our Hybrid Workplace
</i></b></p></div><div><p>Protiviti operates in a hybrid work environment, meaning all employees are expected to achieve a blend of in-person and remote work. This model creates meaningful experiences for our people and clients while offering a flexible environment. The expected ratio of remote to in-person work will vary by team and other business factors. Local and/or out-of-state travel is required based on our project and internal client commitments.
</p></div></div><p></p><p>Starting salary is based on a full-time equivalent schedule. Placement in the range is dependent upon experience, skills and geographic work location. Below is the salary range for this job.
</p>$75,000.00 - $113,000.00
<p></p><p>Our annual bonus plan provides eligible employees additional cash and/or discretionary stock compensation opportunities. Below is the bonus target opportunity for this job.
</p>5%
<p></p><p>The total cash range is estimated from the sum of the base salary range plus the bonus target opportunity. Below is the estimated total cash range for this job.
</p>$78,750.00 - $118,650.00
<p></p><p>Employees are eligible for medical, dental, and vision coverages, FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave up to 10 weeks, and short/long term disability. We offer eligible employees a company 401(k) savings and investment plan with an employer match of 50% on the first 6% of your contributions. We provide Choice Time Off (CTO) for vacation, personal needs, and sick time. The amount of (CTO) varies based on years of service. New hires receive up to 20 days of CTO per calendar year. Protiviti also recognizes up to 11 paid holidays each calendar year.
<br>
<br>
Learn more about the variety of rewards we offer at Protiviti at https://www.protiviti.com/sites/default/files/2026-01/2026_u.s._benefit_highlights.pdf .
</p><p></p><p>Any benefits outlined are part of our reward offerings for full-time employees in the U.S. Your Open Enrollment materials, insurance contracts, plan documents and Summary Plan Descriptions together comprise the official plan document which legally governs the administration of your benefit plans. Protiviti reserves the right to terminate or amend your benefit plans in any way and at any time.
</p><p></p><p>Protiviti is an Equal Opportunity Employer. M/F/Disability/Veteran
</p><p></p><p>As part of Protiviti&rsquo;s employment process, any offer of employment is contingent upon successful completion of a background check.
</p><p></p><p>Protiviti is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to HRSolutions@roberthalf.com or call 1.855.744.6947 for assistance.
</p><p></p><p>In your email please include the following:
</p><ul><li><p>The specific accommodation requested to complete the employment application.
</p></li><li><p>The location(s) (city, state) to which you would like to apply.
</p></li></ul><p></p><p>For positions located in San Francisco, CA: Protiviti will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
</p><p></p><p>For positions located in Los Angeles County, CA: Protiviti will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</p><p></p><p>Protiviti is not registered to hire or employ personnel in the following states &ndash; West Virginia, Alaska.
</p><p></p><p>Protiviti is not licensed or registered as a public accounting firm and does not issue opinions on financial statements or offer attestation services.
</p><p></p><p><b>JOB LOCATION
</b></p>NY PRO NEW YORK CITY</div>

AI & Workforce Signals Analyst

Doppel

<div>
 <strong>
  Why Join Doppel
  <br/>
  <br/>
 </strong>
 Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world&rsquo;s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
 <br/>
 <br/>
 Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet&rsquo;s most urgent trust and safety challenges.
 <br/>
 <br/>
 <strong>
  What We're Building
  <br/>
  <br/>
 </strong>
 We're building the AI-native social engineering defense platform.
 <br/>
 <br/>
 This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
 <br/>
 <br/>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for an experienced backend engineer to build out the infrastructure required to rapidly scale up our engineering organization. A few examples of the work we&rsquo;ve done recently:
 <br/>
 <br/>
 <ul>
  <li>
   Built a scalable data platform with a robust DBT transformation layer, enabling customers, engineers, and analysts to reliably model and query large-scale event data, track key product metrics, and power customer facing analytics.
  </li>
  <li>
   Launched a flexible notification system, delivering timely, reliable alerts across Slack, email, and other channels for internal and customer-facing use cases.
  </li>
  <li>
   Standardized core service patterns and shared business logic (auth, persistence, messaging), scaling them into reusable services that reduce duplication, ensure consistency, and enable product engineers to move faster as the company grows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
 <br/>
 <br/>
 🍽️ Free lunch and dinner in the office
 <br/>
 <br/>
 🌴 Flexible PTO
 <br/>
 <br/>
 ✈️ Quarterly team offsites
 <br/>
 <br/>
 Join Doppel
 <br/>
 <br/>
 Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
 <br/>
 <br/>
 We&rsquo;re not just another cybersecurity company. We&rsquo;re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
</div>


Software Engineer, Platform

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world'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><p></p><div><p>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.
</p><div><p>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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

Cerberus Capital Management

<div>
 <p>
  Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at
  <u>
   www.cerberus.com
  </u>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  We are seeking a Full Stack Hands-on Software Engineer with security-first mindset, strong product ownership, and technical expertise. The ideal candidate will lead development for back-end middle-office products, collaborate closely with business stakeholders, and deliver secure, scalable, high-quality solutions. This role requires both technical depth and the ability to translate business needs into functional products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and build full-stack applications using React (TypeScript) for front-end and Node.js for back-end services
  </li>
  <li>
   Develop and maintain RESTful APIs; integrate with internal and external systems
  </li>
  <li>
   Implement distributed systems and clean design principles for scalable, high-performance applications
  </li>
  <li>
   Deploy and manage cloud-based solutions on Azure (or other cloud platforms) with best practices for security and reliability
  </li>
  <li>
   Engage in security remediation activities, primarily focused on fixing findings from security vulnerability scans across business applications
  </li>
  <li>
   Write clean, maintainable code following SDLC standards; perform code reviews and enforce best practices
  </li>
  <li>
   Leverage AI tooling for SDLC automation, including but not limited to story creation and refinement, code generation, unit test development, and other repeatable operational activities
  </li>
  <li>
   Monitor and optimize application performance across the full stack
  </li>
  <li>
   Perform production support activities, applying creative thinking to effectively investigate and resolve production issues
  </li>
  <li>
   Work with SQL and related technologies to design efficient queries and manage large datasets
  </li>
  <li>
   Implement and maintain CI/CD pipelines for automated build, test, and deployment processes
  </li>
  <li>
   Engage with business analysts, stakeholders, and vendors to capture requirements and align technology with business goals
  </li>
  <li>
   Mentor junior developers, ensure timely delivery, and drive continuous improvement in development processes
  </li>
  <li>
   Clearly articulate concepts, designs, and strategies to technical and non-technical audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Articulate communicator who brings creativity to complex problem-solving skills
  </li>
  <li>
   Experience coding and building scalable solutions in React (TypeScript), Node.js and JavaScript
  </li>
  <li>
   Proven full-stack experience in API and web application development
  </li>
  <li>
   Hands-on experience identifying and addressing security vulnerabilities leveraging AI
  </li>
  <li>
   Strong knowledge of distributed systems and clean architecture principles
  </li>
  <li>
   Familiarity with Generative AI and passion for leveraging AI tools in SDLC
  </li>
  <li>
   Experience designing systems, Azure (or other cloud providers), and SQL
  </li>
  <li>
   Demonstrated ability to lead projects end-to-end with accountability for quality
  </li>
  <li>
   Ability to work independently and within cross-functional teams.
  </li>
  <li>
   Required experience in production support activities, including the ability to think creatively and effectively resolve production issues
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <p>
  &middot; Experience with Agile methodologies
 </p>
 <p>
  &middot; Proficiency in Python; C# experience is a plus.
 </p>
 <p>
  &middot; Applied AI experience in engineering workflows or business-facing solutions
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
 </p>
 <p>
  The base salary for this position is expected to be between $135,000.00 and $150,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.
 </p>
</div>


Associate, Software Engineer

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded Cards Team, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p><b>
Job responsibilities</b></p><div><div><ul><li><div>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
</div></li></ul></div><div><ul><li><div>Develops secure and high-quality production code, and reviews and debugs code written by others&mdash;leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.
</div></li></ul></div><div><ul><li><div>Drives decisions that influence product design, application functionality, and technical operations and processes.
</div></li></ul></div><div><ul><li><div>Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.
</div></li></ul></div><div><ul><li><div>Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.
</div></li></ul></div><div><ul><li><div>Owns and operates systems that run 24x7 at high traffic scale&mdash;including on-call responsibilities, incident response, and post-mortem analysis&mdash;with a strong bias toward proactive reliability improvements over reactive firefighting.
</div></li></ul></div><div><ul><li><div>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
</div></li></ul></div><div><ul><li><div>Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.
</div></li></ul></div><div><ul><li><div>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</div></li></ul></div><div><ul><li><div>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
</div></li></ul></div></div><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced in the Java programming language and associated ecosystem.</li><li>
Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code&mdash;and the judgment to validate, refactor, and take ownership of AI-generated output.</li><li>
Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.</li><li>
Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes&mdash;including experience with SLOs, alerting, capacity planning, and graceful degradation.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).</li><li>
Ability to tackle design and functionality problems independently with little to no oversight.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
</li><li>Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
</li></ul><p></p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience with banking and credit card ecosystems
</li><li>AWS Certification</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>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.
</p><p></p><p>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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Sr Lead Software Engineer:Java/AI

Explore 96+ Ai engineer in New York this August. Find roles across top companies and apply now to boost your career.