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machine learning engineer

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Intellect Group

<div>
 <p>
  <strong>
   AI Engineer &ndash; New York City
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY (Hybrid)
 </p>
 <p>
  <strong>
   Salary:
  </strong>
  $110,000 &ndash; $140,000 depending on experience
 </p>
 <p>
  <strong>
   Type:
  </strong>
  Permanent | Full-Time
 </p>
 <p>
  <br/>
 </p>
 <p>
  Intellect Group is actively placing AI Engineers with high-growth technology and AI-first companies across New York City.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Whether you're a recent grad with strong fundamentals or an early-career engineer who's already shipped AI into production, we want to hear from you. We partner with funded AI startups, fintech innovators, and established technology businesses who are hiring AI engineering talent right now &mdash; and New York's AI scene has never moved faster.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is your chance to work on real problems, with real stakes, at companies that are building the next generation of intelligent systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Designing, building, and deploying machine learning models and AI-powered features into production
 </p>
 <p>
  &bull; Working with LLMs, NLP, and deep learning frameworks to solve meaningful business problems
 </p>
 <p>
  &bull; Building and maintaining end-to-end AI pipelines in collaboration with data scientists and engineering teams
 </p>
 <p>
  &bull; Experimenting with prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
 </p>
 <p>
  &bull; Contributing to model evaluation, testing, monitoring, and continuous improvement
 </p>
 <p>
  &bull; Staying close to the latest AI research and translating it into practical, scalable applications
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; A degree in Computer Science, AI, Mathematics, Data Science, or a related field (Master's a plus, not a must)
 </p>
 <p>
  &bull; Strong Python skills and hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face
 </p>
 <p>
  &bull; Solid understanding of machine learning fundamentals &mdash; neural networks, transformers, classification, regression, and model evaluation
 </p>
 <p>
  &bull; Exposure to LLMs, generative AI, or NLP through coursework, projects, internships, or personal builds
 </p>
 <p>
  &bull; A problem-solving mindset, intellectual curiosity, and a genuine drive to build things that work
 </p>
 <p>
  &bull; Clear communication skills &mdash; you can explain what you built, why it matters, and what you'd do differently
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus Points
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Experience with cloud platforms: AWS, GCP, or Azure
 </p>
 <p>
  &bull; Familiarity with vector databases, embeddings, or RAG pipelines
 </p>
 <p>
  &bull; MLOps experience &mdash; Docker, FastAPI, CI/CD, or similar deployment tooling
 </p>
 <p>
  &bull; Open-source contributions, Kaggle competitions, or side projects that show you build for fun
 </p>
 <p>
  &bull; Prior experience in fintech, media, healthcare, or enterprise SaaS (all strong sectors in the NYC AI market)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What's on Offer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; $110,000 &ndash; $140,000 base salary depending on experience
 </p>
 <p>
  &bull; Roles across Manhattan, Brooklyn, and hybrid-friendly companies throughout the metro area
 </p>
 <p>
  &bull; Fast-moving environments where your work ships and has real impact
 </p>
 <p>
  &bull; Clear growth path into senior and staff AI engineering roles
 </p>
 <p>
  &bull; The support of a specialized recruitment team with deep roots in the AI, data, and machine learning market
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply Now
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you have strong technical foundations and a genuine interest in building AI systems that matter, apply today and a member of the Intellect Group team will be in touch.
 </p>
</div>


Artificial Intelligence Engineer

Stealth Startup

<div>
 <p>
  We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let&rsquo;s build together.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ABOUT THE ROLE
 </p>
 <p>
  As a member of the AI/ML engineering team, you'll directly shape the core simulation systems powering critical predictions for global enterprises. The AI/ML team owns the accuracy and intelligence of company's simulation engine &mdash; from synthetic population generation to response estimation. You'll work on designing, training, and evaluating the models that allow us to simulate human behavior with near-perfect fidelity, collaborating closely with research, infrastructure, and product teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  RESPONSIBILITIES
 </p>
 <ul>
  <li>
   Design and implement training environments for language models used in simulation
  </li>
  <li>
   Build focused, high-quality evaluation frameworks for domain-specific prediction tasks
  </li>
  <li>
   Integrate classical ML approaches with deep learning architectures to improve simulation accuracy
  </li>
  <li>
   Develop and iterate on the core modules that power population-level predictions
  </li>
  <li>
   Create and train new models &mdash; and finetune existing ones &mdash; for accurate simulation of human decision-making across question types
  </li>
  <li>
   Collect, process, and leverage diverse data sources to improve the accuracy of synthetic populations
  </li>
 </ul>
 <p>
  <strong>
   YOU MAY BE A FIT IF
  </strong>
 </p>
 <ul>
  <li>
   You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems
  </li>
  <li>
   You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment
  </li>
  <li>
   You have 3+ years of hands-on experience building ML/AI systems (research or applied)
  </li>
  <li>
   You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration
  </li>
  <li>
   You have experience working cross-functionally with engineering and product teams to ship ML-powered features
  </li>
  <li>
   You're deeply curious and motivated to push the boundaries of what simulation technology can do
  </li>
 </ul>
 <p>
  <strong>
   STRONG CANDIDATES MAY ALSO
  </strong>
 </p>
 <ul>
  <li>
   Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL)
  </li>
  <li>
   Have experience building or fine-tuning multi-agent systems
  </li>
  <li>
   Have worked on probabilistic modeling, Bayesian inference, or causal reasoning
  </li>
  <li>
   Have familiarity with our stack or demonstrate the ability to learn unfamiliar technologies quickly
  </li>
 </ul>
 <p>
  <strong>
   LOCATION
  </strong>
 </p>
 <p>
  This role is based in New York City. This is an in-person company and during this exciting period of hypergrowth, we work 6 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   BENEFITS
  </strong>
 </p>
 <p>
  We take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.
 </p>
</div>


Software Engineer, AI/ML

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location: Jersey City, NJ or NYC, NY (Hybrid).</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><ul><li>Demonstrated expertise and a strong foundational background in Artificial Intelligence AI and Machine Learning ML including proficiency with current industry trends and methodologies</li>
<li><div>Proven track record of successfully delivering AIML projects from inception to deployment prior experience within the financial sector is highly desirable</div>
</li><li><div>Solid programming skills particularly in Python including scripting development and data manipulation</div>
</li><li><div>Exceptional communication and interpersonal skills with the ability to articulate complex technical concepts and present effectively to diverse audiences across all organizational levels.</div>
</li></ul></div></div></div><p>The base compensation range for this role in the posted location is: 85,000 - 95,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Machine Learning Engineer

American Express

<div><p>Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
</p><p>The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
</p><p>American Express Technologies is seeking an Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale.</p></div>
<br><div><ul><li>Demonstrated passion for Generative AI and its application to real-world business problems.
</li><li>Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures.
</li><li>Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications.
</li><li>Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.
</li><li>Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Proficiency in deploying AI-enabled applications using cloud platforms and containerized environments (Kubernetes, Docker, OpenShift).
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
</li><li>Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
</li><li>Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK.
</li><li>Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions.
</li><li>3&ndash;5 years of relevant work experience with a Bachelor&rsquo;s degree in Computer Science, Data Science, or related field.
</li><li>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</li></ul></div>
<br><div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
</p><p>As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p></div>
<br><div><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><p></p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.<br>
</div><div></div><br>
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.<br>
</div><div></div><br>
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

AI Engineer II

Kairon Health

<div><h1 class="jobSectionHeader"><b>About Kairon Health</b></h1><p>
Kairon is the execution layer for healthcare. We turn fragmented claims and clinical data into actionable workflows that help ACOs and health networks actually capture their shared savings &mdash; not just measure them after the fact.</p><p>
We&rsquo;re a seed-stage team of &lt;10, working with real customers managing real patient populations. Our platform spans practice intelligence, care operations, patient activation, and performance analytics. We&rsquo;re AI-native &mdash; not as a buzzword, but because our team builds with Claude, automated transcription, and intelligent workflows as core infrastructure, not bolt-on features.</p><p>
We&rsquo;re at the stage where our early customers love the product and we need to make onboarding, support, and ongoing operations repeatable without losing the high-touch quality that got us here.</p><p></p><h1 class="jobSectionHeader"><b>
Position Overview</b></h1><p>
We&rsquo;re seeking a Senior Product Engineer, Data Applications to own the product layer where data meets decision-making. You&rsquo;ll build the data-powered applications that surface intelligence directly to users &mdash; from the Performance App and ACO-in-a-Box tooling to interactive reporting, scorecards, and next-generation analytics experiences.</p><p>
This is a full-stack, product-oriented engineering role. You&rsquo;ll design and implement end-to-end solutions (data models, APIs, and UI components) that bring Kairon&rsquo;s insights to life for practice leaders. You&rsquo;ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.</p><p>
You&rsquo;ll thrive here if you&rsquo;re as excited about what you build as why you&rsquo;re building it: an engineer who understands product trade-offs, can shape features from user requirements, and enjoys turning messy data into meaningful, elegant applications.</p><p></p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><ul><li><p>
Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches.</p></li><li><p>
Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the Kairon platform.</p></li><li><p>
Collaborate with product and analytics: Translate user needs and clinical/financial metrics into intuitive visualizations and actionable interfaces.</p></li><li><p>
Advance in-app intelligence: Integrate data pipelines, LLM insights, and healthcare analytics into user-facing modules (Performance App, ACO-in-a-Box, CRM, and others).</p></li><li><p>
Uphold scalability and quality: Design for maintainability, reusability, and performance; implement tests and observability to ensure reliability.</p></li><li><p>
Contribute to design &amp; UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.</p></li><li><p>
Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.</p></li><li><p>
Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Qualifications</b></h1><ul><li><p>
6+ years of professional experience building production web applications (frontend + backend).</p></li><li><p>
Strong proficiency in Python, Django/DRF, Vue, and SQL; experience with data visualization frameworks and API design.</p></li><li><p>
Experience designing or consuming data models and ETL pipelines (e.g., Snowflake, dbt, or similar).</p></li><li><p>
Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.</p></li><li><p>
Familiarity with healthcare, analytics, or enterprise SaaS environments.</p></li><li><p>
Clear communication and cross-functional collaboration skills; comfort working directly with product and leadership.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Preferred Qualifications</b></h1><ul><li><p>
Experience in healthcare or value-based care analytics, EHR data, or claims data models.</p></li><li><p>
Prior work integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.</p></li><li><p>
Strong understanding of data visualization principles and UX for analytics products.</p></li><li><p>
Background that spans both engineering and product management (technical PM, full-stack data apps, or similar hybrid roles).</p></li><li><p>
Previous experience in an early-stage or high-growth startup environment.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Why This Role</b></h1><ul><li><p><b>
Impact. </b>You&rsquo;re not maintaining someone else&rsquo;s machine. You&rsquo;re building customer operations from the ground up at a company where the work directly affects whether patients get better care.</p></li><li><p><b>
Growth. </b>This role has a clear trajectory. Depending on your strengths and interests, this becomes Head of Customer Success, Director of Implementations, or a Product leadership role as we scale. You&rsquo;ll have the context and relationships to grow into whatever the company needs most.</p></li><li><p><b>
Stage. </b>We&rsquo;re past the &ldquo;will this work?&rdquo; phase &mdash; customers are live and getting value. We&rsquo;re in the &ldquo;how do we do this 10x without breaking?&rdquo; phase. That&rsquo;s the most interesting operational puzzle in a startup.</p></li><li><p><b>
Equity. </b>You&rsquo;ll have meaningful ownership as one of our first 10 hires, with a real seat at the table.</p></li></ul><p></p><p><i>
Diversity and inclusion are core to our culture. If you are a member of an underrepresented group in tech, we strongly encourage you to apply.</i></p><p></p><p>
Compensation Range: $170K - $190K</p></div>

Product Engineer, Data

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.</li>
<li>5 years of experience programming in Python.</li>
<li>Experience with training machine learning models.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD in Computer Science or equivalent field.</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>Experience publishing in venues (e.g., NeurIPS, ICML, COLT, ICLR) or contributing to open-source projects related to ML.</li>
<li>Experience with ML frameworks (JAX, PyTorch) for large-scale model training.</li>
<li>Experience applying ML research to generative models, specifically in areas of post-training Gemini models.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Prototype and test fundamental algorithmic approaches. Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) and bring solutions into production environments<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement solutions in one or more specialized ML areas such as reinforcement learning, optimization, privacy, and game theory.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Foundational ML Research

Metropolis

<div><h3 class="jobSectionHeader"><b>Who we are</b></h3>
<p>
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it.</p>
<h3 class="jobSectionHeader"><b>
Who you are</b></h3>
<p>
Metropolis is seeking a Senior Security Engineer to establish and lead a dedicated infrastructure and network security engineering function within our Corporate IT and Information Security organization. In this senior technical role, you will design, build, and manage a dedicated AWS environment to power our security tooling, automation, and operational infrastructure, while also supporting our expanding Oracle Cloud Infrastructure footprint. You will drive enterprise network security initiatives&mdash;including firewalls, segmentation, WAF technologies, and zero-trust architectures&mdash;to protect our corporate office networks and remote access environments. Collaborating closely with Corporate IT, Network Engineering, Central Cloud Infrastructure, and platform engineering teams, you will deliver resilient security infrastructure that safeguards our expanding technology ecosystem.</p>
<h3 class="jobSectionHeader"><b>
What you'll do</b></h3>
<ul><li>Design, build, and manage a dedicated AWS environment owned by Corporate IT and Information Security to support security tooling, automation, and operational workloads</li>
<li>Support Oracle Cloud Infrastructure environments as part of broader enterprise transformation initiatives</li>
<li>Lead enterprise network engineering and network security initiatives across corporate office networks, firewalls, segmentation, and wireless environments</li>
<li>Implement and manage VPN, remote access, WAF technologies, and secure connectivity architectures</li>
<li>Drive zero-trust initiatives and enhance enterprise network visibility and monitoring</li>
<li>Manage identity, access, endpoint, and server security platforms across the enterprise</li>
<li>Develop infrastructure-as-code and cloud automation to scale security operations infrastructure</li>
<li>Execute vulnerability management programs and establish enterprise infrastructure hardening and operational resiliency</li>
<li>Provide detection engineering and incident response support across security platforms</li>
<li>Partner closely across Corporate IT, Network Engineering, Central Cloud Infrastructure, Enterprise Systems, and platform engineering teams</li>
</ul><h3 class="jobSectionHeader"><b>What we're looking for</b></h3>
<ul><li>Demonstrate strong AWS and cloud security experience</li>
<li>Exhibit strong networking and network security experience</li>
<li>Show experience with enterprise identity systems and access management</li>
<li>Display experience with security engineering infrastructure and automation</li>
<li>Support hybrid enterprise and cloud-native environments</li>
<li>Utilize modern infrastructure and security tooling</li>
<li>Maintain familiarity with regulated environments such as PCI and SOC</li>
<li>Possess experience with scripting and programming</li>
</ul><h3 class="jobSectionHeader"><b>While not required, these are a plus:</b></h3>
<ul><li>Use Python as the preferred language for scripting and programming</li>
</ul>
<p></p><p><b>4 Days in Office:</b> Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection</p>
<p><i>
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $165,000.00 USD to $215,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. </i><i>#LI-AR1 #LI-Onsite</i></p><div><p><i>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.</i></p>
<p><i>
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.</i></p>
<p><i>
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</i></p></div></div>

Senior Security Engineer, Infrastructure & Network Security

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