artificial intelligence engineer

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

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

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

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

Goldman Sachs

<div><div><div><p>Job Duties: Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. Artificial Intelligence (AI) Quantitative role on Applied AI Team. Deploy AI-based quantitative technologies to drive revenue generation and innovation within the firm. Leverage advanced knowledge in computer science, statistics, artificial intelligence, and machine learning to address unique challenges and redefine possibilities at the intersection of Quantitative Finance and AI. Collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as Time Series Forecasting, Market making, and Pricing. Address the specific challenges that arise when applying these techniques to the financial sector and push the state-of-the-art in AI for Quantitative Finance. Design, train, and deploy scalable AI models to drive commercial outcomes. Conduct experiments and analysis to enhance model performance. Collaborate effectively with colleagues to advance the production of machine learning systems and applications. Develop, test, and maintain high-quality, production-ready code.</p>
<p>Job Requirements: Master&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related role OR Bachelor&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master&rsquo;s degree) OR three (3) years of experience (with a Bachelor&rsquo;s degree) with: Working in an Artificial Intelligence (AI) Quantitative role; C++, Java or Python programming language; data structures, algorithms, and software engineering practices; machine Learning, Deep Learning, Large Language Models, and Time Series Forecasting algorithms; ML libraries and frameworks, including TensorFlow, PyTorch, scikit-learn, and Keras; big Data Technologies and MLOps tools such as Kubeflow or MLflow in production; and Financial markets, market making, or asset pricing.</p>
<p>Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $155,600.</p>
<p>&copy;The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.</p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)New York
</div></div><div></div><div><div>DIVISIONGlobal Banking &amp; Markets</div></div></div></div><p></p>

Global Banking & Markets - New York - Associate, Quantitative Engineering - 4195191

Software Engineer, Machine Learning RecSys

<div>
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or equivalent practical experience.
  </li>
  <li>
   2 years of experience programming in C++, Python, or Java.
  </li>
  <li>
   2 years of experience programming in JavaScript or TypeScript.
  </li>
  <li>
   2 years of experience with front-end frameworks, full-stack development, or API development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree or PhD in Computer Science or related technical fields.
  </li>
  <li>
   2 years of experience with data structures and algorithms in either an academic or industry setting.
  </li>
  <li>
   2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  </li>
  <li>
   Experience developing accessible technologies.
  </li>
  <li>
   Proficiency in code and system health, diagnosis and resolution, and software test engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 <br/>
 <br/>
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 <br/>
 <br/>
 US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Learn more about benefits at Google .
 <br/>
 <br/>
 <ul>
  <li>
   Write product or system development code.
  </li>
  <li>
   Participate in, or lead, design reviews with peers and stakeholders to decide amongst available technologies.
  </li>
  <li>
   Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  </li>
  <li>
   Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  </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/>
   <br/>
   <br/>
  </li>
 </ul>
 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 III, Full Stack

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