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Energy Solutions

<div><div><p>Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we've harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.</p></div><p>
We are seeking a <b>Quality Control Engineer II</b> to join our Information Systems. In this opportunity, you will dive into our core systems&mdash;including our vital IRIS platform&mdash;to champion the accuracy, reliability, and sheer excellence of complex technology solutions. This isn't just about finding bugs; it's your opportunity to actively shape our testing philosophies, elevate quality practices, and pioneer robust validation strategies across our entire software and data ecosystem.</p>
<p>
Operating with immense independence, you will design, write, and execute brilliant automated and manual tests, tackling complex technical challenges head-on. You will partner dynamically with engineering teams to supercharge test coverage and ensure flawless delivery, while serving as an inspiring technical mentor and peer trainer who elevates junior engineers through hands-on coaching. If you are a seasoned pro with sharp automation skills who can develop automated UI tests with minimal ramp-up and a passion for driving long-term process evolution, we want you to lead the charge in our quality revolution.</p>
<p><b>
The person filling this role will be required to work in a hybrid work environment adjacent to one of our offices in Oakland, CA; Orange, CA; New York, NY; Portland, OR; Boston, MA; or Chicago, IL</b></p><br>
<p></p>
<p><b>
Responsibilities include, but are not limited to:</b></p>
<ul>
<li>Design, execute, and maintain manual and automated test approaches for software features, workflows, and integrated systems</li>
<li>Develop and enhance automated testing frameworks and CI/CD quality integrations to improve reliability and scalability</li>
<li>Design and apply test approaches for assigned projects across functional, regression, integration, performance, and security testing</li>
<li>Improve and monitor quality metrics for assigned projects to evaluate test effectiveness, defect trends, and coverage</li>
<li>Partner with engineering teams to integrate testing practices into development, deployment, and release workflows</li>
<li>Develop, maintain, and execute automated test suites using tools such as Selenium, Cypress, Playwright, or Pytest</li>
<li>Write and improve automated UI tests based on prior automation experience and team practices</li>
<li>Perform hands-on testing across assigned systems and projects to identify defects, validate functionality, and reduce delivery risk</li>
<li>Conduct root cause analysis on recurring issues and support preventive actions to reduce defect recurrence</li>
<li>Support quality gate adherence within CI/CD processes and release workflows</li>
<li>Apply testing practices that align with expectations related to privacy, security, accessibility, and quality standards</li>
<li>Serve as a peer mentor and trainer to Quality Control Engineers I and II by sharing expertise and guiding testing practices</li>
<li>Evaluate and adopt new tools, automation techniques, and testing frameworks that improve efficiency and coverage</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent technical experience</li>
</ul><ul><li>Six years of experience testing software products in a professional setting</li>
</ul><ul><li>Demonstrated experience designing, developing, and executing test automation and quality assurance practices within complex software environments</li>
</ul><ul><li>Experience working with Agile methodologies and CI/CD environments to support reliable, efficient, and scalable software delivery</li>
</ul><ul><li>Proficiency with test automation tools and frameworks (e.g., Selenium, Cypress, Playwright, Pytest, or similar)</li>
</ul><ul><li>Strong written and verbal communication skills, with the ability to clearly communicate technical findings, testing outcomes, and quality risks to cross‑functional stakeholders</li>
</ul><ul><li>Proficiency in test automation and programming, with the ability to design, write, and maintain automated test cases (including UI tests) and supporting frameworks</li>
</ul><ul><li>Ability to analyze system behavior, identify defects, and resolve complex testing issues independently once familiar with the system and product landscape</li>
</ul><ul><li>Ability to influence testing approaches and quality decisions by providing informed input on coverage, prioritization, and test strategy</li>
</ul><ul><li>Demonstrated ability to evaluate and adopt new testing tools and technologies to improve testing effectiveness and efficiency</li></ul><br>
<p></p>
<p><b>
The salary range for this role is $108,000&ndash;$125,000, with a target compensation of $108,000 - $118,000 based on experience and qualifications.</b></p><div><p>
Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).</p>
<p><b>
AI Use
</b></p><p>At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one's own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristics protected by law. Energy Solutions conforms to the spirit as well as to the letter of all applicable laws and regulations.</p>
<p><b>
Office Locations and a Remote Workforce</b></p>
<p>
Energy Solutions operates as a predominantly remote workforce with offices in six different locations. Employees who reside within 40 miles of an office (except New York) will be assigned to that location, though in-office attendance requirements may vary by team. At this time, we are not accepting applications from candidates residing in the following states: Delaware, Kentucky, Mississippi, Montana, Nebraska, and North Dakota.</p>
<p><b>
Background Check Information</b></p>
<p>
Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U.S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer.</p>
<p><b>
Reasonable Accommodations</b></p>
<p>
Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require accommodations in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodation@energy-solution.com.</p>
<p>
Privacy Notice for Job Applicants</p></div></div><p></p>

Quality Control Engineer III (Hybrid - New York, NY)

Didero

<div>
 At Didero, we&rsquo;re building the autonomous supply chain, starting with agentic supplier management.
 <br/>
 <br/>
 Global trade has never been more complex or more critical. Teams are underwater, reacting to a flood of challenges &mdash; from geopolitical risk to tariffs. Didero helps by automating time-intensive workflows with AI agents, deploying cutting-edge technology into one of the world&rsquo;s most vital domains.
 <br/>
 <br/>
 We&rsquo;re backed by some of the world&rsquo;s best venture funds and leading figures across AI, supply chain, and enterprise software.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're hiring an AI Applied Engineer to sit at the intersection of machine learning, agentic systems, and production software. You'll own the design and development of AI-powered workflows that automate high-stakes supply chain operations &mdash; building systems that actually think, act, and learn
 <br/>
 <br/>
 <strong>
  <strong>
   What You&rsquo;ll Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design and ship production AI agents that automate supplier management workflows
  </li>
  <li>
   Own the full AI stack: model selection, prompt engineering, tool use, RAG pipelines, evals, and reliability.
  </li>
  <li>
   Architect agentic systems that integrate with communication platforms, ERPs, and third-party APIs.
  </li>
  <li>
   Drive quality through rapid iteration, build fast without shipping fragile systems.
  </li>
  <li>
   Collaborate with product and domain experts to translate messy real-world workflows into clean, scalable AI solutions.
  </li>
  <li>
   Shape how we approach applied AI at the company level, your opinions on architecture and methodology will matter.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You&rsquo;ll be successful in this role if you&hellip;
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Have hands-on experience building and deploying LLM-based applications or AI agents in production.
  </li>
  <li>
   Think in systems; you understand how prompts, retrieval, memory, and tool calls interact at scale.
  </li>
  <li>
   Care about outcomes, not just outputs, you build evals and measure what matters.
  </li>
  <li>
   Are comfortable in ambiguous, fast-moving environments with short feedback loops.
  </li>
  <li>
   Write clean, maintainable code across the backend and can collaborate on frontend integrations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   8+ years as an autonomous, resourceful engineer building and scaling real-world applications.
  </li>
  <li>
   Proven experience with LLMs, agentic frameworks (Pydantic, LangChain, LlamaIndex, custom), and AI workflow tooling.
  </li>
  <li>
   Strong Python (Django or FastAPI) and familiarity with TypeScript / React for integration work.
  </li>
  <li>
   Deep understanding of modern AI primitives: function calling, RAG, embeddings, structured outputs, evals.
  </li>
  <li>
   Strong communication skills, able to bridge technical and non-technical stakeholders effectively.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Startup experience; founding engineer or early team member at a high-growth company.
  </li>
  <li>
   Experience with B2B SaaS workflow automation and complex enterprise integrations.
  </li>
  <li>
   Background in supply chain, procurement, or logistics tech.
  </li>
  <li>
   Designing highly scalable and distributed AI systems.
  </li>
  <li>
   Experience with a strongly typed language like C++, Java, Rust, Go
  </li>
  <li>
   Has a strong understanding of system design, object oriented programming and good programming fundamentals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Tech Stack
   <br/>
   <br/>
  </strong>
 </strong>
 Django
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   React
  </li>
  <li>
   TypeScript
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What We Value
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   We make the world feel smaller - We support each other and break down boundaries, both internally and for our customers
  </li>
  <li>
   We build supply chain magic - We push the boundaries of what technology can do and go above and beyond for our users
  </li>
  <li>
   We are lifelong learners - We move fast, embrace failure, and give feedback generously
  </li>
  <li>
   We show up - We&rsquo;re scrappy entrepreneurs, no job is beneath us
  </li>
  <li>
   We BELIEVE! - We&rsquo;re building a great, enduring company and we have fun doing it.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What we offer:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Competitive compensation and equity
  </li>
  <li>
   Medical, dental, and vision insurance
  </li>
  <li>
   Unlimited PTO &mdash; we trust you to take the time you need
  </li>
  <li>
   Monthly wellness stipend via ClassPass
  </li>
  <li>
   Tech equipment for your setup
  </li>
  <li>
   Catered lunches (for those in the office)
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $200K - $300K
 <br/>
 <br/>
</div>


Applied AI Engineer

Pfizer

<div><h2 class="jobSectionHeader"><b>ROLE SUMMARY</b></h2><p>
At the heart of Pfizer's Digital transformation sits Global Cloud Services, enabling modern cloud infrastructure and engineering capabilities that influence business outcomes and provide value to our business, shareholders, and patients every day.</p><p>
We are seeking a <b>Senior Cloud Engineering Lead</b> to join our growing team at Pfizer's Digital hub in <b>New York, NY, United States</b>. This role requires a strategic technical leader with <b>deep expertise in Google Cloud Platform (GCP)</b>, a strong emphasis on security, automation, and infrastructure as code. The ideal candidate will bring a hands-on approach using modern engineering practices and a proven track record in leading and mentoring technical teams.</p><p>
Pfizer seeks individuals that are highly self-motivated, eager to learn, and effective when working in a team environment. A strong aptitude towards self-development, continuous learning, and growth is highly desired.</p><h2 class="jobSectionHeader"><b>
ROLE RESPONSIBILITIES</b></h2><p>
The Senior Cloud Engineering Lead provides technical leadership and design expertise, playing a key role in ensuring Pfizer Digital continues to leverage cloud-native design patterns and modern engineering practices. This role will help ensure our Cloud Engineering team delivers a secure, compliant, productive, and innovative <b>GCP hosting environment</b> on a global scale.</p><ul><li>
Lead a small technical team of 3&ndash;5 cloud engineers, providing guidance, mentorship, and support in their professional development while driving the adoption of modern cloud engineering practices across the organization.</li><li>
Lead the design, implementation, and management of <b>GCP solutions</b> focusing on security, scalability, and automation.</li><li>
Drive the adoption of Infrastructure as Code (IaC) practices using Terraform, OpenTofu, Spacelift, and Python/Pulumi to ensure efficient and repeatable deployment of cloud resources.</li><li>
Manage and mentor a team of 3&ndash;5 cloud engineers, providing technical leadership, coaching, and support in their professional development.</li><li>
Create modern <b>GCP cloud design patterns</b> and help drive consumption of reusable patterns through partnership with development teams.</li><li>
Collaborate with global cloud engineers, developers, and product teams to build <b>GCP cloud-native capabilities</b> for Pfizer Digital.</li><li>
Design and architect standards for the deployment and management of <b>GCP infrastructure</b>.</li><li>
Serve as escalation point for operational issues, supporting the on-call engineering team when needed (minimal operational responsibilities, &lt;5% of time).</li><li>
Stay updated with the latest <b>GCP technology</b>, security trends, and engineering practices to keep our infrastructure modern and ahead of potential threats.</li><li>
Ensure continuous improvement initiatives are identified, prioritized, and addressed within the cloud environment.</li><li>
Champion automation-first approaches across all cloud engineering activities.</li><li>
Work in a cross-functional, global engineering team while creating and evolving internal engineering standards.</li></ul><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>
Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, or a similar discipline.</li><li>
Applicant must have a bachelor's degree with at least 6+ years of experience; OR a master's degree with at least 5+ years of experience; OR a PhD with 1+ years of experience in cloud engineering or infrastructure roles</li><li>
At least 2 years of experience in a technical leadership role, managing or leading engineering teams.</li><li><b>
Deep expertise in Google Cloud Platform (GCP)</b> with demonstrated ability to design, build, and operate production-grade GCP environments.</li><li>
Strong experience building and deploying cloud infrastructure using industry-standard IaC tools such as Terraform, OpenTofu, or Pulumi.</li><li>
Proficiency in at least one major programming language (Python strongly preferred) for automation and tooling.</li><li>
Demonstrated ability to learn new technologies quickly and adapt to evolving cloud platforms.</li><li>
Excellent communicator with the ability to influence horizontally and vertically across a large, complex, and matrixed organization.</li><li>
Proven ability to manage priorities and identify outcomes with the greatest business value.</li><li>
Strong technical leadership capabilities including the ability to coach, mentor, and develop other engineers.</li><li>
Customer-centric mentality with a bias towards delivering value at the speed demanded by the business.</li><li>
Experience integrating application hosting needs with <b>GCP infrastructure capabilities</b> to build secure and well-architected solutions.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>
Expert-level knowledge in building, maintaining, and deploying infrastructure as code solutions in a DevOps environment.</li><li>
Experience with Spacelift or similar IaC automation platforms.</li><li><b>
Advanced GCP expertise</b> including networking (VPC, Shared VPC, Cloud Interconnect), security (IAM, Organization Policies, Security Command Center), and compute/data services (GKE, Cloud Run, BigQuery, Cloud Storage).</li><li>
Configuration management experience using Ansible or similar tools.</li><li>
Experience qualifying cloud services capabilities for use within GxP or other highly regulated environments.</li><li>
Cross-functional experience managing cloud infrastructure, security, networking, and application development.</li><li>
Contributions to open-source cloud tooling or infrastructure projects.</li><li><b>
Google Cloud Professional certifications</b> (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer).</li></ul><p>
Please apply by sending your CV in English.</p><p><b>
Work Location Assignment: Hybrid &ndash; New York, NY, United States</b></p><p><br>
<br>
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.</p><p><b><br>
PHYSICAL/MENTAL REQUIREMENTS</b></p><p>
N/A</p><p></p><p><b>
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
</b></p><p></p><p>10% travel</p><p><br>
Work Location Assignment: Hybrid</p>
The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer&rsquo;s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life&rsquo;s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site &ndash; U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
<p>Relocation assistance may be available based on business needs and/or eligibility.</p>
<p>
Candidates must be authorized to be employed in the U.S. by any employer.</p><p>
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.</p>
<div><div><div><div><div><div><div><div><p><b>
Sunshine Act</b></p><p>
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider&rsquo;s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.</p></div></div></div></div></div></div></div></div>
<div><div><div><div><div><div><div><div><p><b>
EEO &amp; Employment Eligibility</b></p><p>
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
</p><p></p><p>Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.</p></div></div></div></div></div></div></div></div>
<p>
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.</p>
Information &amp; Business Tech</div>

Senior Cloud Engineering Lead

NYU Langone Health

<div><p>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
<br>
<br>
<i>For more information, go to</i> <i>med.nyu.edu</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Engineer II - Applied AI.
</p><p>As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers - data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).</p>
<p><b>
Job Responsibilities:</b></p>
<div>
<ul><li>Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development</li>
</ul></div><div><ul><li>Collaborate with data scientists to build and / or fine-tune high performing AI models and implement modern techniques from relevant published papers</li>
</ul></div><div><ul><li>Develop scalable and robust pipelines to support large data processing tasks</li>
</ul></div><div><ul><li>Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards</li>
</ul></div><div><ul><li>Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI)</li>
</ul></div><div><ul><li>Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow / work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities</li>
</ul></div><div><ul><li>Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team</li>
</ul></div><div><ul><li>Provide technical guidance and coaching to less experienced team members</li>
</ul></div><div><ul><li>Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support</li></ul></div><br>
<p>
</p><p><b>Minimum Qualifications:</b><br>
To qualify you must have a 1. Bachelor's degree in computer science, software engineering, or a related field.<br>
2. At least 1-3 years of hands-on experience in AI Solution development<br>
3. Strong programming skills in Python, or other languages commonly used in AI development.<br>
4. Substantial knowledge of AI, machine learning, and deep learning<br>
5. Experience with AI platforms like PyTorch or TensorFlow<br>
6. Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)<br>
7. Understanding of software development principles and methodologies, including data structures, data modeling and software architecture.<br>
8. Excellent problem-solving skills and ability to work in a team environment.<br>
9. Excellent communication skills, both verbal and written.</p>
<p><b>
Preferred Qualifications:</b><br>
1. Masters degree in computer science, data science, software engineering, or a related quantitative discipline<br>
2. 3-5 years of hands-on experience in AI Solution development<br>
3. Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI / ML toolchain</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i>
<br>
<br>
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
<br>
<br>
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
<br>
<br>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 - $126,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Machine Learning 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 push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.</p><p>
This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design and build end-to-end agentic systems for creative tasks</p></li><li><p>
Develop novel approaches for training and adapting the large language models that power these agents</p></li><li><p>
Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability</p></li><li><p>
Explore multimodal reasoning and structured generation for creative control</p></li><li><p>
Run systematic experiments to evaluate and improve agent performance in real-world tasks</p></li><li><p>
Design evaluation frameworks for agentic workflows in video analysis and editing</p></li><li><p>
Analyze failure modes across the full agent loop (planning, tool use, execution) and iterate on improvements</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>
Strong track record building production ML systems or agentic pipelines</p></li><li><p>
Deep understanding of transformers and modern LLM techniques</p></li><li><p>
Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs or drive tool use</p></li><li><p>
Comfort owning the full stack, from model-level experiments to deployed agent systems</p></li><li><p>
Strong experimental rigor and good taste for what makes agents actually work in practice</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>

ML Engineer, Agentic Systems

Colgate-Palmolive

<div></div><div><div><div>Requisition ID <b>174332</b> - Posted <b>06/18/2026</b> - <b>Analytics</b> - <b>United States</b> - <b>New York</b> - <b>New York</b> - <b>Colgate-Palmolive</b> - <b>Travel - up to 10% of time</b> - <b>On-site</b></div></div><p></p><div><div><div><div><p><b><br>
</b></p></div></div></div></div><br>
<div></div><div><div><div><div><div><div><div>No Relocation Assistance Offered<br>
Job Number #174332 - New York, New York, United States<br>
<br>
<b>Who We Are</b><br>
<br>
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!<br>
<br>
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values&mdash;Caring, Inclusive, and Courageous&mdash;we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.</div><br>
<div><b>*This role can sit in our Park Ave (NYC) or Piscataway, NJ office*</b></div><br>
<div></div>
<div><b>
Role Summary</b></div>
<p>
We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive&rsquo;s purpose to Make More Smiles and our commitment to a healthier future for our people, pets, and planet, this role builds the advanced machine learning capabilities that power smarter decisions, accelerate innovation, and create measurable impact across our global enterprise.</p>
<p>
As part of the Enterprise AI/ML Center of Excellence, you will lead the architectural design and end-to-end execution of high-priority ML initiatives. This involves integrating statistical modeling, optimization, and autonomous workflows into Colgate-Palmolive's business processes to accelerate innovation, enhance decision intelligence, and embed AI. Beyond hands-on technical work, you ensure solutions are architecturally sound, production-ready, and compliant with enterprise governance standards, translating strategy into robust execution aligned with stakeholder needs and long-term value creation.</p><br>
<div></div>
<div><b>
Responsibilities:</b></div>
<ul>
<li><div>Productionize ML Research: Transition experimental models into robust, scalable production services. You don't just build the model; you build the pipeline that sustains it.</div>
</li>
<li><div>Pipeline Orchestration: Design and maintain complex data and ML pipelines using Airflow and dbt to ensure data integrity and model reliability.</div>
</li>
<li><div>Statistical Rigor: advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes are testable and honest.</div>
</li>
<li><div>DevOps &amp; MLOps: Utilize modern developer tools to work within and CI/CD frameworks for ML and software lifecycle management</div></li></ul><br>
<div>
</div><div><b>Required Qualifications:</b></div>
<ul>
<li><div>Bachelor&rsquo;s Degree (or higher) in a high-rigor field: Statistics, Physics, Chemistry, Mathematics, Data Science, or Computer Science with a heavy emphasis on Statistical Learning.</div>
</li>
<li><div>Experience: Bachelors degree: 6+ of years of technical experience; Masters or PhD (3+ years)</div></li></ul><br>
<div>
</div><div><b>Preferred Qualifications:</b></div>
<ul>
<li><div>Proven expertise in Data Science and/or Machine Learning Engineering.</div>
</li>
<li><div>Advanced proficiency in Python (Production-grade) and SQL.</div>
</li>
<li><div>Hands-on experience with Airflow for orchestration and dbt for transformation.</div>
</li>
<li><div>Familiarity with modern IDEs and Agentic Coding systems (e.g., Cursor, Windsurf, Claude Code, Antigravity) to maximize output velocity.</div>
</li>
</ul><ul><li><div>Modern Stack: Expert knowledge of Python, Scikit-learn, major ML Libraries</div>
</li>
<li><div>Data Engineering: Deep understanding of data lifecycle (ETL/ELT), data architecture, best practices for templatized data transformation</div>
</li>
<li><div>Engineering Excellence: Familiar with Docker/Kubernetes, CI/CD, Git, and &quot;Software Engineering for ML&quot; best practices.</div>
</li>
<li><div>LLM Literacy: Familiar with concepts underpinning LLMs, and strategies to integrate GenAI into MLE project lifecycle</div></li><br>
</ul>
<div><br>
<b>Compensation and Benefits</b><br>
Salary Range $130,000.00 - $170,000.00 USD<br>
<br>
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.<br>
<br>
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.<br>
<br>
<b>Our Commitment to Inclusion</b><br>
Our journey begins with our people&mdash;developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.<br>
<br>
<b>Equal Opportunity Employer</b><br>
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.<br>
<br>
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.<br>
<br>
For additional Colgate terms and conditions, please click here.<br>
<br>
#LI-On-site</div></div></div></div></div></div></div></div><p></p>

Machine Learning Engineer (174332)

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

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