software engineer

2026 phd software engineer intern (machine learning), united states Jobs in New York

2026 phd software engineer intern (machine learning), united states

2026 summer internship program - purchasing intern Jobs in New York

2026 summer internship program - purchasing intern

2026 summer internship, research scientist, phd (new york city) Jobs in New York

2026 summer internship, research scientist, phd (new york city)

machine learning engineer ii, special projects Jobs in New York

machine learning engineer ii, special projects

2026 phd software engineer intern machine learning united states

Uber

<div>We're looking for PhD candidates in the machine learning and optimization domain to intern with a variety of teams during summer 2026 (12 weeks). You will be embedded in an engineering team and work closely with other specialists, data scientists, and product managers. As a PhD intern, you will work on an exciting yet bold problem independently, under the supervision of an experienced engineer on that team.
<br>
<br>
<b>About the Role
</b><br>
<br>
At Uber, we work on many ambitious engineering products covering many lines of business as well as the underlying platform technologies that power those businesses. We foster growth and increase profitability of Uber by pushing the frontiers of machine learning, constrained optimization, statistics, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.
<br>
<br>
As a PhD software engineer intern, you will have a lot of opportunities to work with product managers, data scientists and, of course, engineers from different teams. You will have an opportunity to learn how to iterate over a product for greater success while demonstrating your area of expertise (machine learning, statistics, constrained optimization, distributed system, etc.). This is a unique opportunity to grow your skills with real-world experience and do highly impactful, yet fun work at the same time. It is an ambitious yet rewarding job!
<br>
<br>
<b>Team Options
</b><ul><li>The <b>Delivery Marketplace: Consumer and Courier Pricing, Matching and Logistics </b>is responsible for building the core technology across the delivery line of business including food delivery, grocery, and retail last mile. These include a diverse set of transformational projects and impactful products ranging from finding the optimal match between jobs and earners in the delivery space, to setting optimal prices for Eaters and Couriers. The organization is formed of talented teams of engineers and scientists working side by side on the state of the art innovations on the matching objective function, pricing algorithms, and promotions. To achieve these goals, we leverage big data tools and apply advanced machine learning models to drive top line and bottom line business outcomes.
</li><li>The <b>Trusted Identity org </b>inspires trust in the Uber business cycle through verified and authentic identities. The Account Integrity team prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability. The Identity Verification team ensures accounts are created by real humans by verifying their attributes. The Account Security team is responsible for defending account holders from fraud related to phishing and ATO (account takeover) attempts. The Device Intelligence team is responsible for collecting device signals that are critical for the other teams to reliably achieve their goals.
</li><li>The Uber <b>Risk engineering team </b>is tackling challenges related to fraud and abuse detection. Our work is crucial in maintaining the integrity of Uber's platform. The team employs advanced machine learning including LLMs and computer vision, knowledge graph, similarity search and reinforcement learning to monitor transactions, detect unusual patterns, and implement robust verification methods
</li><li>The <b>Mobility Matching team </b>at Uber plays a crucial role in developing and optimizing algorithms and systems that match supply (drivers) with demand (riders) in real-time. You will work on complex problems, leveraging data and build ML algorithms to ensure efficient and reliable marketplace matching. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
</li><li>The <b>Rider Pricing and Incentives team </b>at Uber plays a crucial role in developing and optimizing algorithms and systems that determine the trip prices, discounting and promotions for Uber riders worldwide. You will work on complex modeling, pricing and incentives targeting problems, leveraging data and building ML algorithms to ensure accurate and robust pricing models and successful pricing optimization outcomes. The team is broadly part of the Marketplace organization, a central pillar to Uber's core technology which more broadly includes pricing, incentives/investments, matching, surge, etc. As a key team within Uber, we manage the complex dynamics between short term optimized pricing and long-term optimized pricing, promotion targeting and continuously innovating to enhance the overall user experience for riders. Improvements in these systems increase revenue in the hundreds of millions of dollars, and positively impact the experience of millions of users worldwide, as well as their ability to get around in the world.
</li><li>Join our <b>Capacity Planning team </b>as a Ph.D. intern to drive the future of infrastructure resource management through advanced quantitative methods. You will be at the forefront of implementing our data-driven forecasting vision, moving away from reactive, manual processes to scalable, automated solutions that utilize predictive analytics and real-time utilization data. This is a high-impact opportunity to work with the Applied Science and Engineering teams on designing and optimizing the central intelligence systems for capacity planning. Your expertise will be crucial in developing granular, highly accurate resource forecasts, ensuring service reliability for unexpected demand, and making key decisions that directly influence financial accountability, operational agility, and optimal resource utilization across the entire platform.
</li><li>The <b>Autonomous Vehicles Cloud team </b>is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
</li><li>The <b>Marketplace Signals </b>team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
</li><li><b>Applied AI </b>is a horizontal AI team at Uber partnering with product and platform teams across the company to deliver cutting-edge machine learning solutions for core business problems. The Computer Vision team in AppliedAI specializes in Generative AI, Foundation Model, and classical Computer Vision solutions, and the ML infrastructure needed to scale these systems in production.
</li><li><b>Fabric Controller </b>brings together platforms that keep large scale systems resilient and easy to operate, including Cadence and Repair Engine. Cadence is an open source workflow orchestration engine that manages distributed state, retries, scaling, and recovery so teams can focus on business logic while supporting mission critical workloads across many industries. Repair Engine detects, diagnoses, and remediates issues by correlating signals across infrastructure and application layers through an ingestion pipeline and statistical analysis. An ML engine is being developed to improve diagnostics by learning patterns from historic issues, reducing false positives, and incorporating broader context such as workload types and traffic trends. Together these systems strengthen reliability, automation, and operational efficiency across the stack.
</li></ul><b>What You'll Do
</b><ul><li>Drive exciting, ambitious, previously unsolved projects from end to end
</li><li>Develop novel algorithms that use Uber data at global scale
</li><li>Thrive in an environment with ambiguous product requirements
</li><li>Collaborate closely with product managers and data scientists
</li><li>Be motivated to independently own and drive projects forward
</li><li>Have a passion to make Uber better for our customers
</li></ul><b>Basic Qualifications
</b><ul><li>Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
</li><li>Candidates must have at least one semester/quarter of their education left following the internship
</li><li>Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
</li><li>Experience in one or more object-oriented languages, including C++, Java, Python, or Go
</li></ul><b>Preferred Qualifications
</b><ul><li>Ability to communicate effectively with both technical and business partners
</li><li>Experience in simplifying/converting business problems into technical problems
</li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Software Engineer Intern (Machine Learning), United States

Spotify

<div><div><div><div><div><div>Students</div></div></div></div><div><div>
Internship</div></div><div><div>
New York</div></div><div><div>
Spotify is looking for enthusiastic students/recent graduates with a passion for creativity and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 or 12 weeks this summer and start in the middle of June.</div></div><div><div><div><br>
</div><div>We are looking for Research Scientist interns in the fields of artificial intelligence, machine learning, economics, foundational modeling, and LLMs. Our teams are based in the US (East coast) and Europe working on a diverse range of research topics and applied problems. We use a variety of approaches and methods to answer research questions related to how people interact and engage with Spotify. We work on a broad range of Spotify features &ndash; personalized playlists like iDJ &amp; Discover Weekly, Search and Recommendations, and foundational AI systems powering recommendations of music, podcasts, and audiobooks to more than 600 million users with billions of interactions.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Be part of an interdisciplinary team focused on making every user interaction with Spotify amazing through personalization and discovery, and in the process pushing innovation and contributing to the wider research community by publishing papers.</li><li>
Apply your scientific knowledge to application-oriented problems in artificial intelligence, economics, machine learning, search and recommendation, speech processing, and natural language processing, combining insights from your expertise with those of our diverse team of research scientists.</li><li>
Be a valued member of an autonomous, multi-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.</li><li>
Help to develop thoughtful, efficient, and intuitive new ways to search, explore and discover music, podcasts, and audiobooks.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You are pursuing a PhD in Computer Science, Information Science, Economics, Statistics, or related areas with a strong computational focus.</li><li>
Strong preference for a graduation year date of 2026 or 2027.</li><li>
You currently have valid work authorization to work in the country in which this role is based that will extend from June to September 2026.</li><li>
You are available from June 15th onwards for a 10 or 12 week summer internship .</li><li>
You have publications in communities such as NeurIPS, ICML, ICLR, EC, AAAI, RecSys, The Web Conference, ACL, SIGIR, WSDM, KDD, Interspeech, or related venues (preferred)</li><li>
You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results (preferred)</li><li>
You have experience with the complexities of modeling and analyzing real-world data (preferred)</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
This role will be in New York City.</li><li>
Our internship program has a lot to offer with in office events and networking opportunities. To allow you to be fully immersed in our program and make the most of your time with us, we ask that you come into the office 3 days a week.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States hourly rate for this position is $55 USD and is overtime eligible. These rates may be modified in the future. The role is eligible for select benefits such as Paid Public Holidays, and Learning and Development Trainings.</div><div></div><div><br>
Our paid research science summer internships last for approximately 10 or 12 weeks and start at the middle of June. The last day to apply is February 5th 2026 at 12 PM ET.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Social events, everything from fikas to connection time, panels and talks.</div></div><div></div><div><div>
Swag, official merch you can&rsquo;t get anywhere else.</div></div></div></div><div></div>

2026 Summer Internship, Research Scientist, PhD (New York City)

Hunter Roberts Construction Group LLC

<div><p><b>About Hunter Roberts Construction Group</b></p>
<p>
Hunter Roberts delivers a broad range of construction management services by an executive team whose collective experience is unsurpassed industry wide. We believe that Hunter Roberts&rsquo; service capabilities are only as valuable as the quality of the relationships that drive them. This is why we have capitalized on the opportunity of building Hunter Roberts as a streamlined organization whose culture encourages frequent, as well as face-to-face interaction between clients and the Hunter Roberts team at every level.</p>
<p><b>
</b></p><p><b>Role Description</b></p>
<p>
Hunter Roberts has summer internship opportunities available within the NY Operations unit for individuals with a track record of academic success and a deep interest in the industry. Hunter Roberts has several Intern opportunities available in the Purchasing Department.
</p><p></p><p><b>The internship will begin on June 1, 2026, and last through August 14, 2026</b>. The hours are Monday through Friday from 8am until 5pm.
</p><p>At the conclusion of the internship, the Intern will make a presentation to management describing the project, related project tasks and overall learning experience.<b>
</b></p><p>Listed below are job functions you may be asked to complete as an intern at Hunter Roberts.</p>
<p>
</p><p><b>Intern reports to</b>: Chief Purchasing Manager or Assigned Mentor</p><p><br>
<b>
Responsibilities:</b></p><br>
<ul>
<li>Assist Purchasing Agents and Assistant Purchasing Agents with prequalification of Subcontractors through use of TradeTapp prequalification website.</li>
<li>Assist Purchasing Agents and Assistant Purchasing Agents with compiling Subcontracts.</li>
<li>Assist Purchasing Agents and Assistant Purchasing Agents with creating Bidders lists for projects and following up to ensure proper coverage in all trades.</li>
<li>Assist PA&rsquo;s &amp; APA&rsquo;s in soliciting trade bids and leveling them.</li>
<li>Arranging and coordinating meetings between Subcontractors and Purchasing/Operations team</li>
</ul>
<p></p><p><b>What to expect:</b></p>
<ul>
<li>Site visits</li>
<li>Trainings</li>
<li>Evaluations</li>
<li>Social Events</li>
</ul>
<p></p><div><b>MINIMUM REQUIREMENTS</b><br>
<ul><li>Must be enrolled in an accredited Undergraduate College or University with a sophomore status or junior status</li><li>Must be a construction management, engineering or related major</li><li>Proficient with Microsoft Office, specifically Outlook, Excel and Word</li><li>Ability to work as a team member and to manage competing priorities in fast paced environment.</li></ul></div>
<p>
****Must be currently authorized to work in the United States.</p>
<p>
</p><p><b>Disclaimer</b></p>
<p>
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Hunter Roberts is an Equal Opportunity Employer- M/F/Disabled/Vet.</p>
<p>
</p><p>Expected pay is $20.00 per hour</p></div>

2026 Summer Internship Program - Purchasing Intern

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>8 years of experience in software development.</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in machine learning, statistics (stats), applied mathematics, or operations research in the industry or in the academic sector.</li>
<li>Experience with Ads, AdsML, LegoML, Keras, or TFX.</li>
<li>Experience productionizing ML systems.</li>
<li>Experience in Experiment Design.</li>
<li>Ability to write high quality and low latency code/models that can train on and serve on every query.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
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>
We build and maintain machine learning models using Artificial Intelligence (AI) and Machine Learning (ML) techniques to predict user interactions on Search Ads. These models are a key component in setting advertisers' bids, with the goal of improving both satisfaction and Return on Investment (ROI) for Search Ads advertisers using Auto-bidding products. By optimizing towards advertisers' objectives, Auto-bidding products drive Google's global Ads business, which serves billions of users and generates in business.</p>
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
<br>
<br>
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Innovate and iterate on machine learning model design, improving quality, stability, and efficiency across the entire model life-cycle from concept to deployment.</li>
<li>Solve machine learning related problems by designing, running, and analyzing experiments using investigative and statistical methods.</li>
<li>Contribute to code health, automation, and alerting systems to ensure model stability and performance.</li>
<li>Participate in on-call rotations for model health, working alongside team members to support critical systems.</li>
<li>Learn the bidding machine learning models that drive billions in ad business across Google Ads.</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>

Staff ML Engineer

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies.<br>
</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>
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud&rsquo;s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.<br>
<br>
</p><p>The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write 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,)<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>Implement solutions in one or more specialized ML areas, utilize Machine Learning (ML) infrastructure, and contribute to model optimization and data processing.<br>
</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 III, AI/ML, Google Cloud AI

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots complex physics problems and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
  <li>
   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #physics
</div>


Energy Research Scientist

NYC Department of Finance

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently to instill public confidence and encourage compliance while providing exceptional customer service.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Legal Affairs Division serves as the in-house legal department for DOF, providing professional and comprehensive legal advice and services supporting a full range of city tax and other revenue-related matters. Legal Affairs Division attorneys and staff handle various legal issues, including real property taxes and exemptions, business income and excise taxes, collections, parking violations, treasury, land registry, Conciliation Bureau conferences, FOIL, and employment law.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Parking Law Unit handles a full range of parking-related matters including handling parking law, parking administration and adjudication issues, prosecuting parking fraud reinstatement and broker compliance cases, drafting and reviewing parking related legislation and rules, advising operating divisions, supporting the City's Law Department on litigation matters, resolving legal issues arising from booting or towing vehicles, and preparing and signing collection and enforcement legal documents.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Parking Law Unit seeks an enthusiastic, self-motivated attorney intern to be part of our team handling a variety of parking law and enforcement-related legal matters. Under close supervision and direction, the candidate will work on a range of legal matters and projects that may include:
 </p>
 <ul>
  <li>
   Perform parking law, enforcement and administration related legal research and draft memoranda, legal responses, policy statements and other documents.
  </li>
  <li>
   Perform legal work involving issues of fact and questions of law, including parking law, NYC Administrative Code, NYS Civil Practice Law and Rules, and NYS Vehicle and Traffic Law.
  </li>
  <li>
   Assist in reviewing, analyzing and learning to draft State and local legislation, policies, and agency rules, forms and communications.
  </li>
  <li>
   Assist in providing legal counsel to the agency's operational staff and serve as liaison with operational staff on matters being handled by the unit and by the New York City Law Department.
  </li>
  <li>
   Participate in division and agency projects and assist with reports.
  </li>
  <li>
   Research and draft responses to claims or actions filed against the agency as needed.
  </li>
  <li>
   Under direction, serve as liaison with the Law Department on agency litigation matters.
  </li>
  <li>
   Prepare petitions or cases for administrative matters and hearings, such as parking fraud reinstatement cases, broker sanctions or other areas as needed.
  </li>
  <li>
   Participate in projects and handling matters in other areas as determined by the General Counsel or Division manager.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum Qualifications
  </strong>
 </p>
 <p>
  Graduation from an accredited United States law school as defined in the Rules of the New York Court of Appeals (Sections 520.3 or 520.5) or admission to the New York State Bar.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Information:
  </strong>
 </p>
 <p>
  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Public Service Loan Forgiveness
  </strong>
 </p>
 <p>
  As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Residency Requirement
  </strong>
 </p>
 <p>
  New York City residency is not required for this position.
 </p>
</div>


Attorney Intern, Parking Law

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