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City University of New York

<div>Engineer Level 1 (Provisional)
GENERAL DUTIES
This class of positions encompasses professional engineering work and project management of the University's capital and rehabilitation construction program. There are three assignment levels within this class of positions. At each level a University engineer may sign and seal engineering drawings for which that individual has supervisory or preparatory responsibility, and may sign and seal other official documents. All personnel perform related work.
Assignment Level I
Under general supervision, performs responsible supervisory, or difficult and responsible engineering work, such as the following:
<ul><li>Is in charge of a Unit of major field of engineering.</li>
<li>
Plans, assigns and reviews the work of subordinates, prepares progress reports, and may represent a college or the University in relations with contractors and their representatives, damage claimants and their representatives, and consultants.</li>
<li>
Engages in or supervises the conduct of complex and important research, investigations, or studies related to engineering.</li>
<li>
Makes interpretative detail sketches or layouts of engineering plans.</li>
<li>
Assists in the preparation of documents for bidding, advertisements for bids and in the final selection of successful bidders.</li>
<li>
Meets with contractors, manufacturer's representatives, consultants, college administrators, Central Office and in-house staff to review project details and to identify concerns.</li>
<li>
Prepares reports on contracts, estimates, modifications, and recommendations of award.</li>
<li>
Reviews projects designed by outside consultants or subordinates and provide in-depth written comments.</li>
<li>
Participates in the development of proposals for such major engineering projects as the acquisition or disposition of a College or University property or the public or private use of such property; may conduct surveys in the development of such proposals.</li>
<li>
Participates in engineering investigations of claims for direct or indirect damages.</li>
<li>
Prepares recommendations for alterations or repairs.</li>
<li>
Prepares, or supervises the preparation of specifications, cost estimates, and estimates of materials and equipment in all areas of the assigned projects.</li>
<li>
Prepares change orders if necessary.</li>
<li>
Reviews and comments on change orders.</li>
<li>
Attends job-site meetings when necessary.</li>
<li>
Supervises the conduct of field surveys and construction inspections to secure compliance with contract and other specifications, or inspection of the construction, or alteration of structures, to secure compliance with building codes, zoning resolution and other pertinent statutes, rules and regulations.</li>
<li>
Makes periodic field inspections and final inspections as necessary.</li>
<li>
Prepares or supervises the preparation of, compliance or final analysis of the spatial organization and efficient utilization of sites and structures, or the functional arrangement of interior units, utilities and appurtenances.</li>
<li>
Develops engineering designs of a complex nature.</li>
<li>
Monitors and advises the supervisor on the preparation of construction documents and adherence to project program and budget for small maintenance or alteration projects.</li>
<li>
Gathers information for preparation of various programs, utilization studies and space inventories.</li>
<li>
Maintains and files reference materials and projects drawings for such purposes as an engineering resource library. This may include duplicating and distributing of materials.</li>
<li>
May supervise University Assistant Engineers, other related professionals, and support personnel.</li>
</ul>
Assignment Level II
Under direction, with wide latitude for the exercise of independent judgment or action, performs highly difficult and responsible work in a recognized field of engineering, and is responsible for providing engineering related management services for projects of some complexity, such as the following:
<ul><li>Serves as a consultant on major engineering matters of a College or the University.</li>
<li>
Coordinates projects with other related professionals.</li>
<li>
Applies in-depth knowledge of legal matters related to engineering.</li>
<li>
Directs very complex and important research.</li>
<li>
Supervises a special and difficult project.</li>
<li>
Reviews reports of lower engineers on the preparation of construction documents and adherence to project program and budget for small maintenance or alteration projects; directly monitors if necessary.</li>
<li>
Makes periodic field inspections to assure the timely completion of project phases in compliance with the contract, and pertinent building codes, zoning resolutions and other pertinent statutes, rules and regulations.</li>
<li>
Is in charge of more than one unit of major fields of engineering.</li>
<li>
May supervise lower level engineers, other related professionals, and support personnel.</li>
<li>
Assists in the preparation of consultant services contracts.</li>
<li>
Acts as point of contract and liaison within the University and with outside governmental agencies.</li>
<li>
When necessary, periodically performs the duties described under assignments Level I.</li>
</ul>
Assignment Level III
<ul><li>Serves as a consultant on extremely complex and highly specialized engineering matters.</li>
<li>
Directs all aspects of research on extremely complex and important engineering projects.</li>
<li>
Supervises the generation or review of multiple proposals or reports of a complex nature. Reviews such proposals and recommends for approval.</li>
<li>
Supervises multiple special and difficult projects.</li>
<li>
Represents the University on major engineering projects at major decision making levels.</li>
<li>
Acts as point of contact and liaison for the Office of Facilities Planning and Management with the Colleges, Central Office Staff, and governmental agencies.</li>
<li>
May supervise lower level engineers, other related professionals and support personnel.</li>
<li>
Coordinates all activities for projects assigned.</li>
<li>
Conducts project meetings with consultants.</li>
<li>
Reviews field reports.</li>
<li>
Reviews, recommends and/or approves change orders in accordance with procedures.</li>
<li>
Reviews projects designed by outside consultants or the colleges.</li>
<li>
Monitors adherence to project budget and program.</li>
<li>
Monitors timely completion or projects phases.</li>
<li>
Assures compliance with project specification and quality requirements.</li>
<li>
Prepares resolutions for budget allocations.</li>
<li>
Recommends approval of contract payments when required.</li>
<li>
Assists the contract administration unit in the preparation of documents for bidding, advertisements for bids and awarding of contracts.</li>
<li>
Attends job site meetings when necessary.</li>
<li>
Makes periodic field inspections and final inspections as necessary.</li>
<li>
May incidentally perform duties under lower assignment levels.</li>
</ul>
CONTRACT TITLE
Engineer
FLSA
Exempt
CAMPUS SPECIFIC INFORMATION
&ldquo;At Baruch College we believe that student success is everyone&rsquo;s responsibility&rdquo;
Baruch College is ranked among the region&rsquo;s and nation&rsquo;s top colleges with over 18,000 students; considered one of the most ethnically diverse student bodies in the United States; and is composed of five buildings containing 1.47 million square feet of space and a public plaza. Baruch College Campus Facilities reporting to the Assistant Vice President has over 150 administrative and professional staff, custodial and skilled trades. The Planning Office within the Campus Facilities is responsible for the College&rsquo;s planning, design, and construction projects. The office also manages the space programming; enhancements and renovations throughout the campus; the annual capital plan submittal; and signage. Additionally the office is supported by the Director of Operations, Chief Administration Superintendent, Environmental Health &amp; Safety Officer and others. The University Engineer will report directly to the Planning Director within Campus Planning.
<ul><li>Provide engineering oversight for multiple concurrent capital, DASNY-managed, and in-house construction projects across Baruch College&rsquo;s five academic buildings and public plaza, ensuring compliance with engineering standards, building codes, and University requirements.</li>
<li>
Review and coordinate mechanical, electrical, plumbing, structural, fire protection, and building systems designs for renovations, infrastructure upgrades, and modernization projects to support campus operations and long-term facility performance.</li>
<li>
Manage engineering aspects of campus-wide improvement initiatives, including HVAC replacements, energy efficiency projects, accessibility upgrades, life-safety improvements, and deferred maintenance programs.</li>
<li>
Conduct technical evaluations, prepare engineering recommendations, review consultant and contractor submittals, and monitor project execution to ensure quality, safety, sustainability, and operational reliability.</li>
<li>
Serve as the engineering liaison among Facilities Planning and Management, DASNY, consultants, contractors, and campus stakeholders, providing professional engineering judgment and technical leadership throughout project planning, design, construction, and commissioning.</li>
</ul>
MINIMUM QUALIFICATIONS
<div><ul><li>A baccalaureate degree in engineering from an accredited college and four years of full-time experience in professional engineering work in the required field; and</li></ul>
<ul><li>
A valid New York State Professional Engineer's license; OR</li></ul>
<ul><li>
Education and/or experience equivalent to 1 above. However, all candidates must possess a valid NYS Professional Engineer's license.</li></ul>
<ul><li>
In addition, the candidates are required to have one year of project management experience for assignment Level II and two years of project management experience for Level III. Graduate degree in Public Administration/Business Administration from an accredited college may be substituted for one year of project management experience for Level III on the basis of 48 credits for one year of experience.</li></ul>
</div>
COMPENSATION
New Hire: $76,426*
Incumbent: $86,359
<ul><li>This amount reflects a 13% salary suppression in effect for the first 24 months of employment only.</li></ul>
BENEFITS
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. Employees are also offered pension and Tax-Deferred Savings Plans. Part-time employees must meet a weekly or semester work hour criteria to be eligible for health benefits. Health benefits are also extended to retirees who meet the eligibility criteria.
HOW TO APPLY
Visit www.cuny.edu, access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select &quot;Apply Now&quot; and provide the requested information.
Candidates should provide a resume and cover letter.
CLOSING DATE
August 20, 2026
JOB SEARCH CATEGORY
CUNY Job Posting: Managerial/Professional
EQUAL EMPLOYMENT OPPORTUNITY
CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
Job ID: 32576
Location: Baruch College
Job Type: Full-Time</div>

Engineer Level 1 (Provisional)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers&mdash;delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries.
 
 
Our portfolio spans AI-powered specialist knowledge systems (Specialist Agent, Knowledge Vault), hands-on engagement platforms (Workshop Studio), content quality and recommendation engines (Holmes), and go-to-market orchestration tools (Alchemy)&mdash;collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity.
 
 
We are seeking a Data Engineer to join our newly formed centralized analytics team as one of the first Data Engineers on the team. This is a greenfield opportunity to build a data platform from the ground up&mdash;making foundational architectural decisions and directly influencing how an entire organization measures success and makes investment decisions. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a coherent, unified data ecosystem. Your focus will be squarely on engineering&mdash;building robust, scalable infrastructure and data models&mdash;while dedicated Business Intelligence Engineers on the team own the reporting, dashboarding, and stakeholder-facing analytics. This is not traditional reporting&mdash;you will be building the data backbone that powers intelligent, agent-driven analytics experiences (MCP tools, agentic retrieval systems) enabling stakeholders to intuitively access and consume data within their day-to-day workflows. The data you engineer will inform executive reviews, drive product strategy, and power the next generation of self-service analytics tools used by thousands of AWS field team members.
 
 
Key job responsibilities 
<ul><li>Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
</li></ul> 
<ul><li>Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics
</li></ul> 
<ul><li>Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness field engagement pipeline progression revenue impact)
</li></ul> 
<ul><li>Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
</li></ul> 
<ul><li>Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales
</li></ul> 
<ul><li>Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions
</li></ul> 
<ul><li>Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
</li></ul> 
<ul><li>Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization
</li></ul> 
<ul><li>Operate with a high bar for operational excellence&mdash;owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers
</li></ul> 
<ul><li>Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over
</li></ul> 
About the team 
You will be joining a high-growth engineering organization at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The centralized analytics team is being built from the ground up&mdash;you will be one of the first two Data Engineers on the team, working alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM. You will make foundational architectural decisions that define how the platform will be built, scaled, and operate for years to come. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape foundational architecture decisions and influence how an entire organization consumes and acts on data.
 
 
About AWS 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>3+ years of in the job offered or a related occupation experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

The Museum of Modern Art

<div>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.

Responsibilities:
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
Reports to: Director of Engineering

Salary Range: Minimum of $140,000 to a maximum of $160,000 per annum

Application instructions: To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.

Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Senior Data Engineer

Exelon

<div>
 
 Who We Are
 
 
 
 We're powering a cleaner, brighter future.
 
 
 Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
 
 
 We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power &amp; Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
 
 
 In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
 
 
 Are you in?
 
 
 
 Primary Purpose
 
 
 
 The EMS support group (ESG) creates and maintains the digital representation of the transmission grid. ESG s responsible for the maintenance and support of the data and functionality in the Energy Management System (EMS) and Total Outage Application (iTOA). Maintain all model related changes in the EMS and responsible for all database changes in iTOA. The model maintenance includes adding and updating ratings for the transmission equipment and contingency definitions. The engineers also provide support for all EMS application functionality. Provide real time engineering / operations support to System Operations staff focused on State Estimator and Contingency Analysis solutions. Development and review of operating procedures.
 
 
 Develops studies, plans, criteria, specifications, calculations, evaluations, design documents, performance assessments, integrated systems analysis, cost estimates, budgets, associated with the planning, design, licensing, construction, commissioning, operation, and maintenance of Exelon's electric generation, transmission, distribution, gas and telecommunication facilities/systems. Provides consultation and recommendations to the Company within and to other business units and/or customers as a result of studying company or customer-owned systems, processes, equipment, vehicles or facilities. Reviews financial data from budget and actual costs of projects. Operates independently and seeks guidance when appropriate. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.
 
 
 
 Note: This is a hybrid position (in-office with remote flexibility). Employees are required to be in office at least three days per week (Tuesday, Wednesday, and Thursday). This position must sit out of our Kennett Square - PA office.
 
 
 
 
 Primary Duties
 
 
 
 <ul>
 <li>
 Performs engineering tasks associated with critical engineering projects or a number of small projects with many complex features.
 </li>
 <li>
 Performs assignments in areas where engineering precedents are incomplete, lacking or require broad experience.
 </li>
 <li>
 Evaluates, develops and implements projects that have moderate financial and operational impact.
 </li>
 <li>
 May serve as an expert for organization in a specific area or responsibility that may include the delivery of classroom training and/or OJT/OJE.
 
 
 </li>
 </ul>
 
 Job Scope
 
 
 
 <ul>
 <li>
 Influences project decisions having a moderate impact on the company that may include leading employees or contractors in the commissioning of electrical systems and equipment to be placed On System.
 </li>
 <li>
 Applies technical knowledge to help promote a safe work environment and to enhance customer satisfaction.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor of Science degree in Engineering or Licensed Professional Engineer (2) (3)
 </li>
 <li>
 Ability to analyze and interpret complex electrical and mechanical systems.
 </li>
 <li>
 Knowledge and ability to apply problem solving approaches and engineering theory
 </li>
 <li>
 Knowledge of engineering designs, principles and practices.
 </li>
 <li>
 Knowledge of complex field test equipment.
 </li>
 <li>
 4-7 years of professional engineering experience (1) (3) (See Note).
 </li>
 <li>
 Broad knowledge and experience with regulations, guides, standards, codes methods, practices, and advanced engineering principles necessary to perform very complex or unique assignments for a specific
 </li>
 <li>
 Minimum of two related career experiences (4) (i.e., changes in technical job responsibilities, which may or may not include a change in department) OR
 </li>
 <li>
 Engineer in Training OR
 </li>
 <li>
 50% complete (by hours) with advanced technical degree, M.B.A. or Project Management Certification
 </li>
 <li>
 (1) Master's degree in Engineering reduces the OJT experience requirement by 1 year. (2) License must be issued by the state in which you are practicing. (3) PE License reduces the OJT experience requirement by 1 year. (4) Career related experiences is defined as changes in technical job responsibilities and does not have to include a change in department Note: Items (1) and (3) are mutually inclusive, whereby the maximum experience requirement reduction is one(1) year (e.g., in the case of an employee with both a master's degree in Engineering AND a PE license, the minimum experience requirement would be reduced by one (1) year).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Graduate degree (1) or Graduate level work in Engineering, Business Administration or Project Management Certification
 </li>
 <li>
 Licensed Professional Engineer (2) (3)
 </li>
 <li>
 Strong teamwork, interpersonal skills and the ability to communicate with all management levels.
 </li>
 <li>
 Strong written and oral communication skills.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Annual salary will vary based on a candidate&rsquo;s skills, qualifications, experience, and other factors: $92,000.00/Yr. &ndash; $126,500.00/Yr.
 </li>
 <li>
 Annual Bonus for eligible positions: 15%
 </li>
 <li>
 401(k) match and annual company contribution
 </li>
 <li>
 Medical, dental and vision insurance
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
 </li>
 <li>
 Employee Assistance Program and resources for mental and emotional support
 </li>
 <li>
 Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
 </li>
 <li>
 Referral bonus program
 </li>
 <li>
 And much more
 
 
 </li>
 </ul>
 Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
</div>

General Engineer

Qureos

About the company: We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in. About the Role As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run. <ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul> What You'll Do <ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul> What You'll Bring <ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul> Bonus: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms. Comfortable working in dynamic environments with changing priorities and high ownership. Why Join Us You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer. If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.

Forward Deployed Engineer

Capital One

<div>Lead Machine Learning Engineer, Card Tech
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You&rsquo;ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</li><li>
Retrain, maintain, and monitor models in production</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</li><li>
Use programming languages like Python, Scala, or Java</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 2 years of experience building, scaling, and optimizing ML systems</li></ul>
Preferred Qualifications:<ul><li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
2+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of people leader experience</li><li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 
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.
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.
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.
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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div>

Lead Machine Learning Engineer, Card Tech

Mirage

<div>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. 
 
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. 
More about us
Product (Captions by Mirage)
Research (Seeing Voices, technical-white-paper)
Updates (Mirage on X / twitter)
TechCrunch, Forbes AI 50, Fast Company (press) 
Our Investors
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the Role 
Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You&rsquo;ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.
This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation.
Responsibilities<ul><li>
Train and optimize large-scale video and multimodal models</li><li>
Improve efficiency across training and inference (memory, latency, cost)</li><li>
Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation</li></ul><ul><li>
Build and maintain distributed training systems</li><li>
Optimize GPU utilization, parallelism, and throughput</li><li>
Develop tooling for experimentation, evaluation, and debugging</li></ul><ul><li>
Translate research models into robust, production-ready systems</li><li>
Monitor and improve model performance in real-world usage</li></ul>
What makes you a great fit<ul><li>
BS/MS/PhD in CS, ML, or related field</li><li>
2+ years of professional industry experience</li><li>
Strong experience in deep learning systems and infrastructure</li><li>
Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)</li></ul><ul><li>
Experience scaling and optimizing large models under low-latency inference constraints</li><li>
Strong debugging and performance profiling skills</li><li>
Ability to move quickly from prototype to production</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Comprehensive medical, dental, and vision plans</li><li>
401K with employer match</li><li>
Commuter Benefits</li><li>
Catered lunch multiple days per week</li><li>
Dinner stipend every night if you're working late and want a bite!
</li><li>Grubhub subscription</li><li>
Health &amp; Wellness Perks</li><li>
Multiple team offsites per year with team events every month</li><li>
Generous PTO policy</li></ul>
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.
Please note benefits apply to full time employees only.
Compensation Range: $175K - $275K</div>

Research Engineer, Generative Video

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