software engineer Jobs in New York United States

software engineer

electrical engineer or computer scientist (ph.d.) Jobs in New York United States

electrical engineer or computer scientist (ph.d.)

energy research scientist Jobs in New York United States

energy research scientist

electrical engineer or computer scientist ph d

Exponent

<div>About Exponent:
<div><b>
Exponent</b> is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients&rsquo; most profoundly unique, unprecedented, and urgent challenges.</div><div></div><div><br>
Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.</div><div></div><div><br>
Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you&rsquo;ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!</div><div></div><div><b><br>
Key statistics:</b></div><ul><li>
950+ Consultants</li><li>
640+ Ph.D.s</li><li>
90+ Disciplines</li><li>
30+ Offices globally</li></ul>
Our Opportunity:
<div>
We are currently seeking an <b>Electrical Engineer or Computer Scientist</b> for our <b>Electrical Engineering and Computer Science Practice</b> in <b>New York, NY</b>. In this role, you will work as part of a team performing technical services involving both physical analysis as well as software and data analysis, with the aim of providing scientific and engineering solutions for a diverse variety of challenges faced by clients ranging from early-stage startups through to fortune 100 companies.</div><div></div><div><br>
You will be expected to combine computer science principles, data driven techniques, and a range of investigative analysis techniques with robust subject-specific scientific expertise, to implement high-value solutions to complex technical problems. You will have the opportunity to apply your technical expertise across an extremely wide cross-section of industry, and will interact with a variety of client contacts ranging from managers, engineers, legal staff, and business leaders. You will be expected to demonstrate continued professional growth, both in technical areas relevant to your expertise, and in business skills essential to providing effective consulting services.</div>
You will be responsible for:
<ul><li>Performing engineering and computer science analyses related to ongoing Exponent work</li><li>
Using deep expertise in physics, electrical engineering, or a related field to develop solutions to a wide array of challenging technical problems</li><li>
Performing a variety of numerical analysis, modeling, and simulation activities to support engineering goals</li><li>
Performing reliability and failure analysis related to electrical/electronic systems and components as well as to computer systems and associated networks</li><li>
Presenting technical results and solutions to a diverse audience through verbal, written, and interactive communication</li><li>
Preparing technical proposals, pursuing business developments, and expanding the range of software-related services Exponent provides to clients</li></ul>
You will have the following skills and qualifications:
<ul><li>Ph.D. in Electrical Engineering, Computer Science and Engineering, Physics or a related field</li><li>
An understanding of investigative analysis for troubleshooting technical issues and solving technical challenges</li><li>
Experience with at least one common programming language such as Python, C/C++, Java, MATLAB, or similar</li><li>
Technical hands-on experience with electronics, device hardware, robotics, semiconductors, optics, power systems, or measurement instrumentation</li><li>
Excellent written and verbal communications skills, and ability to work independently or in multidisciplinary teams</li><li>
Ability to gather information and convey technical conclusions to individuals in engineering, business, and related industry</li><li>
Interest in learning and working with a wide range of devices and systems that span a broad array of consumer and industrial applications, including both hardware and software elements of these systems</li><li>
Desire to learn, and work with, a wide array of different programming languages, software frameworks, and tools</li><li>
Ability to support multiple group projects and market the Electrical Engineering &amp; Computer Science Practice and its consulting services</li></ul><div></div><div><i><br>
Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</i></div>
Life @ Exponent:
<div>
To learn more about life at Exponent and our impact, please visit the following links:<br>
https://www.exponent.com/careers/life-exponent
<br>
https://www.exponent.com/company/our-impact</div><div></div><div><br>
Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.</div><div></div><div><br>
Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.</div>
Work Environment:
<div>
At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.</div><div><br>
</div><div>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</div>
Compensation:
<div>
Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.</div><div></div><div><br>
The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.</div>
Salary Range: USD $132,000.00 - USD $154,000.00 /Yr. Benefits you will enjoy:
<div><div>
Access benefits information on our Life@Exponent page:</div></div><div><div>
https://www.exponent.com/careers/life-exponent</div></div><div></div><div><div><br>
Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.</div></div><div></div><div><div><br>
If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.</div></div><br>
<div></div>
Job Locations: US-NY-New York</div>

Electrical Engineer or Computer Scientist (Ph.D.)

DataAnnotation

<div>
 We are looking for a Research Scientist (Chemistry) 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 understanding of chemistry. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist.
 <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 chemistry questions 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>
   Solid knowledge of general, organic, and physical chemistry concepts
  </li>
  <li>
   A current, in progress, or completed Masters 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/>
 #chem
</div>


Research Scientist (Chemistry)

Metropolitan Transportation Authority

<div><p><b>Description</b><br>
</p><br>
<br>
<br>
<p></p><p>This position is eligible for telework, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.</p><div><div><p>
JOB TITLE:</p><p><br>
Engineer<br>
</p></div><br>
<div><p>AGENCY:</p><p><br>
Construction &amp; Development</p></div><div><p><br>
DEPT/DIV:</p><p><br>
Delivery/External Partnership Program</p></div><div><p><br>
REPORTS TO:</p><p><br>
Chief Engineer</p></div><div><p><br>
WORK LOCATION:</p><p><br>
2 Broadway</p></div><div><p><br>
HOURS OF WORK:</p><p><br>
8:30 AM to 5:00 PM or as required (7.5HR/ DAY)</p></div><div><p><br>
HAY POINTS:</p><p><br>
588</p></div><div><p><br>
SALARY RANGE:</p><p><br>
$91,990 to $125,240</p></div><div><p><br>
DEADLINE:</p><p><br>
Open Until Filled</p></div></div><p></p><p><br>
Summary</p><p></p><p><br>
The Engineer is involved in the review of third-party projects that may impact MTA C&amp;D properties and structures, including analysis, design review, technical specifications, and reports.
</p><p>Responsibilities</p><p>
Reviews and supervises various analyses that may impact MTA properties and structures.</p><p></p><p><br>
Performs technical and feasibility studies, including analyzing historical data, surveys, reports, and as-builts to create and review innovative engineering design projects.</p><p></p><p><br>
Reviews designs, tests, and assesses materials.</p><p></p><p><br>
Performs and reviews engineering calculations.</p><p></p><p><br>
Manages a small team of design engineers.</p><p></p><p><br>
Embraces mentoring from senior staff.</p><p></p><p><br>
Adheres to corporate quality control standards within the discipline.</p><p></p><p><br>
Coordinates with other in-house engineering disciplines as needed.</p><p></p><p><br>
Education and Experience</p><p></p><p><br>
Bachelor of Science degree in the appropriate Engineering discipline (Mechanical, Electrical, Civil, Structural, Communications, Track, Signals, Environmental, Fire Protection).</p><p><br>
</p><p>Must have a minimum of four (4) years of related experience.</p><p><br>
</p><p>Competencies:</p><p><br>
</p><p>A registered NYS licensed professional engineer (PE) is required and will sign and seal it.</p><p></p><p><br>
Experience performing site inspections, documenting site conditions and construction activities, coordinating with Agency Owner and contractor staff, and responding to contractor requests for information.</p><p></p><p><br>
Experience in NYCT systems preferred.</p><p></p><p><br>
Knowledge of applicable industry and NYS building and design codes and standards.</p><p></p><p><br>
Excellent communication and interpersonal skills.</p><p></p><p><br>
Must have focus and ability to deliver results, organizational effectiveness, and continuous improvement.</p><p></p><p><br>
Must possess excellent team-building, listening, problem-solving, and prioritization skills.</p><p></p><p><br>
Proficiency in current design and engineering software and Microsoft Office is required.</p><p></p><p><br>
Has experience in interpreting engineering reports and analysis.</p><p></p><p><br>
An attitude and commitment to being an active participant in our employee culture is a must.</p><p></p><p><br>
Able to multitask and be flexible/adapt to rapidly changing project requirements/timelines.</p><p></p><p><br>
Knowledge of the capital design and construction process.</p><p></p><p><br>
Other Information</p><p>
Pursuant to the New York State Public Officers Law &amp; the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the &quot;Commission&quot;).</p><p></p><p><br>
Selection Criteria</p><p>
Based on the evaluation of education, skills, experience, and interview.</p><p></p><p><br>
How to Apply</p><p>
MTA employees must apply via My MTA Portal. You can submit an online application by logging into My MTA Portal, clicking the My Job Search ribbon, and selecting the &quot;Careers&quot; link. Logging in through My MTA Portal will link your BSC ID number to your job application to identify you as an internal applicant.</p><p>
Equal Employment Opportunity</p><p>
MTA and its subsidiary and affiliated agencies are equal opportunity employers, including those with respect to veteran status and individuals with disabilities.</p><p></p><p><br>
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</p></div>

Engineer (EPP)

The React Hub

<div>
 <p>
  Frontend Engineer
 </p>
 <p>
  Location: New York &ndash; 5 days a week in the office
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities: Essential Skills:
  </strong>
 </p>
 <p>
  Build products between design and engineering &ndash; Prototyping in Figma
 </p>
 <p>
  Build the architecture, UX, and Product direction
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills:
  </strong>
 </p>
 <p>
  2+ years of experience as a Frontend Product Engineer at a top-tier VC-backed startup (ideally seed to series D) or FAANG partner.
 </p>
 <p>
  Product engineering background in industries such as Healthcare, defense, or enterprise SaaS.
 </p>
 <p>
  Degree from a top university.
 </p>
 <p>
  React / Typescript / Figma / APIs / PostgreSQL.
 </p>
 <p>
  Must be willing to be in the office 5 days a week.
 </p>
</div>


Frontend Developer

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>11/07/2025</p>
</div><div><p>Description</p>
<div>Senior Lead AI Engineer<p><b>
Overview:</b><br>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Lead AI Engineer<p><b>
Overview:</b><br>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
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</div><div><p>Salary</p><p>
225,400.00 - 257,200.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead AI Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.<br>
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As an Sr. Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
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Key job responsibilities<br>
Key job responsibilities<br>
Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI<br>
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Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results<br>
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Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems<br>
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Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports<br>
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About the team<br>
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, AGI Foundations

Food Scientist

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