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associate software engineer

Rensselaer Polytechnic Institute

<p></p><div><p>Who we are</p>
<p><b>Why Rensselaer?</b> Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.</p>
<p>Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.</p>
<div><p>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.</p>
<p>Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:</p>
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul><p>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.</p>
</div><div><div><div><p>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.</p>
</div></div></div><div><p>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.</p>
</div><p>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.</p>
<p><b>Are you ready to change the world? Apply now!</b></p>
<p>Job Summary</p>
<p>Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:</p>
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul><p>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.</p>
<p>Qualifications</p>
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul><p>Pay transparency data:</p>
<p><b>Pay transparency disclosure:</b> The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.</p>
<p>Postdoctoral Research Associate: $62,354 - $65,000 / yr
<br>
Research Associate: $64,000 - $66,000 / yr
<br>
Research Scientist: $66,000 - $95,000 / yr
<br>
Sr. Research Scientist: $80,000 - $138,000 / yr
<br>
***</p>
<p>Research Specialist $18.00 - $26.44 / hr
<br>
Sr. Research Specialist $62,354 - 66,000 / yr
<br>
***</p>
<p>Research Engineer: $66,000 - $86,000 / yr
<br>
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
<br>
***</p>
<p>Research Assistant: $16.00 - $22.00 / hr</p>
<p>Application instructions</p><p><br>
</p><p>Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter</p>
<p>If you need assistance with the online application process, please contact careers@rpi.edu</p>
Job Posted Date
<p>Applications will be accepted until the position is filled.</p>
<p>Total Compensation and Benefits Information</p>
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div><br>
</div><div><p><i>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute </i><i>is an Equal Opportunity Employer.</i></p>
<p><i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</i></p></div><br>
<p></p><p>#LI-DNI</p></div><p></p>

Materials & Manufacturing Researchers

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.</p>
<p>As a <b>Senior Associate, Generative AI Engineer</b> in the <b>Chief Data and Analytics Office</b>, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.</p>
<p></p>Job responsibilities
<ul><li>Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use</li>
<li>Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences</li>
<li>Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption</li>
<li>Implement batch and real-time processing patterns to support high-throughput, low-latency use cases</li>
<li>Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems</li>
<li>Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening</li>
<li>Optimize system performance, scalability, and cost across inference, storage, and compute</li>
<li>Define and track measurable outcomes, including objectives and key results aligned to business needs</li>
<li>Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations</li>
<li>Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements</li>
</ul><p></p>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience</li>
<li>3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering</li>
<li>Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health</li>
<li>Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision</li>
<li>Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)</li>
<li>Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices</li>
<li>Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements</li>
<li>Ability to define success metrics and write clear objectives and key results aligned to business expectations</li>
<li>Strong problem-framing skills to align machine learning solutions to business objectives and constraints</li>
<li>Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders</li>
</ul><p></p>Preferred qualifications, capabilities, and skills
<ul><li>Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)</li>
<li>Experience building batch and streaming microservices exposed via gRPC and/or GraphQL</li>
<li>Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models</li>
<li>Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches</li>
<li>Experience with multimodal large language model use cases (text plus image, speech, or video)</li>
<li>Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations</li>
<li>Experience measuring and improving model quality using offline evaluation and production monitoring</li>
</ul><p>#LI-RB3</p>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Generative AI - Senior Associate

Mercy University

<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><ul><li>Dobbs Ferry, NY, New York, United States
</li> </ul></div><div></div><div><ul><li>Staff Full-time
</li> </ul></div><div></div><div><ul><li>$19.30- $28.64 hourly</li></ul></div></div><div></div><div><div><b><br>
</b></div>
</div><div><p>Mercy University Libraries&rsquo; is seeking self-motivated, energetic, and detail-oriented candidates to fill a patron centered support role within the Dobbs Ferry Campus Circulation team. Reporting to the Associate Director, the position&rsquo;s primary duties will include supervising library circulation and reserve operations, assisting students and faculty with library resources and related technology needs. The Library Assistant will collaborate with branch circulation supervisors, the systems librarian, and reference librarians. Additionally, the position will monitor front desk inquiries, library computers, printers, and software resources and support the Associate Director in printing student research posters and related tasks. Candidates should be friendly, open-minded, and technologically inquisitive. Good communication skills and customer service orientation are a must.</p>
<p><b>
Essential Job Functions &amp; Responsibilities:</b></p>
<p><i>
Every effort has been made to identify the essential functions of this position. It in no way states or implies that the responsibilities listed are the only duties required to perform in this position. The omission of specific statements of duties does not exclude them from the position responsibilities if the work is similar, related, or is an essential function of the position.</i></p>
<ul>
<li>Oversee &amp; perform library circulation operations (check-in/out of materials)</li>
<li>Provide assistance printing and tracking student research posters</li>
<li>Checkout and monitor student laptop lending</li>
<li>Process and monitor intercampus loan requests</li>
<li>Explain and enforce library policies (e.g., loan periods, reserve policies, noise guidelines, study room bookings) with clarity and diplomacy</li>
<li>Assist library patrons (students, staff, faculty, and general public) with using OCLC WMS or other Integrated Library System&rsquo;s (ILS)/Online Public Access Catalog (OPAC)</li>
<li>Refer students to a reference librarian when appropriate via phone or online chat</li>
<li>Instruct students, faculty, and staff in the proper use of library equipment</li>
<li>Basic troubleshooting of PC&rsquo;s, printers, copiers &amp; scanners; elevate issues to Helpdesk as necessary</li>
<li>Support students, faculty, and staff in the use of library computer hardware and software including, OCLC WMS, internet browsers &amp; MS Office 365 suite</li>
<li>Assist in monitoring quote, requisition, purchase order processing</li>
<li>Assist with library personnel reimbursement</li>
<li>Opens and closes the library as scheduled</li>
<li>Manage patron requests for information, service and/or support</li>
<li>Assist in oversight and delegate shelf reading assignments to student assistants</li>
<li>Report facility or maintenance issues as required</li>
<li>Perform other duties/projects as assigned</li>
</ul>
<p> <b>Required Skills &amp; Experience</b></p>
<ul>
<li>Minimum one year of experience with an automated library system, preferred</li>
<li>Working knowledge of computer hardware and software programs including but not limited to MS Office 365, OCLC WMS, etc. Adobe CC (a plus)</li>
<li>Demonstrated leadership, interpersonal, written, oral communication, problem-solving, organizational, and presentation skills</li>
<li>Demonstrated evidence of detail-orientation, customer service orientation, and ability to work independently</li>
<li>Ability to work and travel to other Mercy campuses as needed</li>
<li>Flexibility to work days or evenings</li>
<li>Bilingual a plus</li>
</ul>
<p><b>Education Requirements:</b></p>
<ul>
<li>Bachelor&rsquo;s degree preferred; Associates degree or some college credits required</li>
</ul>
<p><b>Physical/Other Requirements:
</b></p><ul><li>Position requires evening availability</li>
<li>Must be able to work at different campus libraries when needed</li>
<li>Must be able to push, pull, move or lift up to 30 lbs.</li>
</ul></div></div></div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Similar Jobs:</b></h2>
</div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Manager of Employer Relations- A00738</b></h3><b>
</b><div></div><div>The Manager of Employer Relations plays a vital role in supporting the employer engagement strategy at Mercy University. Working under the direction of the Director of Employer Relations, the manager maintains assigned employer relationships and supports the development of new partnerships with corporate, regional, and local private and public sector employers. The manager plans and executes employer events in addition to gathering and promoting experiential learning opportunities for Mercy University students across all schools. This position requires strong organizational skills, attention to detail, and the ability to build and maintain professional relationships. The manager is expected to perform other duties as assigned; occasional weekend and evening hours may be required.</div>
</div><div><h3 class="jobSectionHeader"><b>Career Counselor- P00256</b></h3><b>
</b><div></div><div>The Career Counselor is a key player in implementing a comprehensive suite of career readiness programs, tools, resources, and services for Mercy College. The Career Counselor offers career coaching to students, hosts and supports programming, conducts proactive outreach to students, and offers career support through classroom visits. In addition, the Career Counselor supports one or two major projects for the team; major projects in Career &amp; Professional Development include career in curriculum, data management, technology systems, and marketing.</div>
</div><div><h3 class="jobSectionHeader"><b>Associate Director, University Advisement- A00207</b></h3><b>
</b><div></div><div>The Associate Director of University Advisement is responsible for being highly accessible, integrating services and programs in academic advising, student intervention and support, professional integrations for student development, academic integrations for student development, and social integration for student development. The Associate Director supervises a team of staff that will also provide these services in a detailed and tailored approach, positing mentorship as a key relationship dynamic and providing an intentional standard of care. These services and programs will support student success, self-efficacy, and a transformational college experience, maximizing the student-centered approach and deepening connection to the Mercy University community through all years of enrollment matriculation.</div>
</div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><p>About Mercy</p>
<p>
Mercy University is a dynamic, independent, coeducational New York City area university that offers more than 100 undergraduate and graduate degree and certificate programs in six schools: Business, Education, Health and Natural Sciences, Liberal Arts, Nursing, and Social and Behavioral Sciences.</p>
<p>
Mercy is the region's largest private, nonprofit, Minority-Serving Institution, proud to serve a student body that is highly diverse. As a federally designated Hispanic Serving Institution (HSI), Mercy University, has been ranked nationally among top colleges in the country for Hispanics by the Hispanic Association of Colleges and Universities (HACU) and by Excelencia in Education, earning their prestigious Seal of Excelencia for intentionally serving Latino students.</p>
<p>
Mercy University was further recognized by HACU as a national leader in awarding bachelor's degrees to Hispanics in several disciplines, including Psychology, Sociology, and Business. Westchester Magazine has also named Mercy the Best College in Westchester County in 2019, 2020, and 2022.</p>
<p>
Mercy is committed to offering an inclusive learning environment to help a diverse student body set a course for their future. To support its student body, Mercy has been awarded a number of federal grants which enable us to better develop and deliver education to our students.</p>
<p>
Mercy&rsquo;s student body reflects the rich diversity of the New York metropolitan area. Enrollment, including full-time and part-time undergraduates and graduates, is approximately 8,800. Mercy students learn on campuses in Dobbs Ferry, the Bronx, and Manhattan as well as online.</p>
<p>
At Mercy University we strive to provide employees and their families with a comprehensive and valuable benefits package. We offer high-quality health care plans, retirement benefits, tuition discounts, flexible spending, and much more.</p><br>
<p></p>
</div></div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><p>Our Mission:</p>
<p>
Mercy University is committed to providing motivated students the opportunity to transform their lives through higher education by offering liberal arts and professional programs in personalized and high-quality learning environments, thus preparing students to embark on rewarding careers, to continue learning throughout their lives and to act ethically and responsibly in a changing world.</p><br>
<p></p>
</div></div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><p>Benefits Eligible:</p>
<p>
Mercy University strives to provide employees and their families with a comprehensive and valuable benefits package. We offer high-quality health care plans, retirement benefits, tuition discounts, flexible spending, and much more.</p><br>
<p></p>
</div></div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><p>EEO Statement</p>
<p>
Mercy University is an equal opportunity employer. Mercy University actively engages in recruiting a diverse workforce and student body that includes members of historically underrepresented groups and strives to build and sustain a welcoming and supportive campus community. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ethnicity, creed, religion, marital status, sex, sexual orientation, gender, gender identity, pregnancy, height, weight, genetic information, disability, or protected veteran status.</p>
<p>
As part of this commitment, Mercy University will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact The Office of Human Resources at (914) 674-7839, Option 6 or via email at HR@mercy.edu.</p>
<p>
The posted salary range for this position is based on several legitimate, non-discriminatory factors set by the organization. Mercy is committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, or local pay equity laws.</p><br>
<p></p>
</div></div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><p>Campus Safety</p>
<p>
Mercy University is committed to providing a safe and welcoming environment for all.</p></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Library Assistant- C00044

Elliptic

<div><p><b>Do you want to help define the future of finance?</b></p><p>
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?</p><p>
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.</p><p>
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.</p><h2 class="jobSectionHeader"><b><br>
The impact you will have</b></h2><p>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.</p><p>
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.</p><h2 class="jobSectionHeader"><b><br>
What you will do</b></h2><ul><li><p>
Write, ship, and maintain production code as a hands-on engineer.</p></li><li><p>
Architect, design, and implement large-scale distributed data systems and pipelines.</p></li><li><p>
Contribute to technical decision-making across batch and streaming data solutions.</p></li><li><p>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</p></li><li><p>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</p></li><li><p>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</p></li><li><p>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</p></li><li><p>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</p></li><li><p>
Help shape the technical roadmap for data engineering across Elliptic.</p></li><li><p>
Leverage and deploy AI and agentic systems to operate more effectively.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Tech environment</b></h2><p><b>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming</b></p><h2 class="jobSectionHeader"><b>
You will thrive here if you</b></h2><ul><li><p>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</p></li><li><p>
Strive for engineering excellence and scalable, sustainable systems.</p></li><li><p>
Use data and experimentation to guide decisions.</p></li><li><p>
Communicate openly and collaborate across teams.</p></li><li><p>
Support and coach less-experienced engineers.</p></li><li><p>
Believe every challenge is an opportunity to simplify and innovate together.</p></li><li><p>
Enjoy working with AI to benefit the company, your team and yourself.</p></li></ul><h2 class="jobSectionHeader"><b><br>
What we are looking for</b></h2><ul><li><p><b>
Hands-on production experience with Scala and functional programming.</b></p></li><li><p>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</p></li><li><p>
Hands-on experience with big data frameworks such as Spark or Databricks.</p></li><li><p>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</p></li><li><p>
Judgement to balance scalability, performance, and maintainability.</p></li><li><p>
Experience with data modelling and workflow orchestration.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus points for</b></h2><ul><li><p>
Experience in stream processing frameworks and event-driven architecture.</p></li><li><p>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</p></li><li><p>
Experience working in containerised environments (Docker, Kubernetes).</p></li><li><p>
Interest in AI-driven tooling for engineering workflows.</p></li><li><p>
Interest in crypto and blockchain technologies.</p></li></ul><p></p><p><b>
How we work:</b></p><ul><li><p><b>
Hybrid working:</b> The option to work from almost anywhere for up to 90 days per year.</p></li><li><p><b>
Remote Work Budget:</b> $650 budget to set up your home office space.</p></li></ul><p><b>
Learning &amp; Development:</b></p><ul><li><p><b>
L&amp;D Budget:</b> $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</p></li></ul><p><b>
Vacation / Leave:</b></p><ul><li><p><b>
Holidays:</b> 25 days of annual leave + US Public Holidays.</p></li><li><p><b>
Birthday Leave:</b> An extra day off for your birthday.</p></li><li><p><b>
Enhanced Parental Leave:</b> We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</p></li></ul><p><b>
Benefits:</b></p><ul><li><p><b>
Healthcare:</b> Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</p></li><li><p><b>
401k:</b> Company match included.</p></li><li><p><b>
Mental Health:</b> Full access to <b>Spill</b> mental health support.</p></li></ul><p><br>
<br>
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.<br>
<br>
No recruitment agencies please!</p><p>
Compensation Range: $165K - $305K</p></div>

Senior Software Engineer - Data

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.<br>
</li>
<li>3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in computer science or related technical field.</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>Experience in cloud computing, including one or more of the following: public, private cloud, compute, storage, networking, software, platform/infrastructure-as-a-service.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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>
In this role, you will drive the future of flash storage at Google. You will work on projects, designing and implementing advanced scheduling algorithms for improved user isolation and QoS, micro-optimizing server code for ultra-low latency. You will be responsible for enhancing data integrity through advanced error detection, collaborating with platform teams on design and qualification of new solid-state drive (SSD) hardware, and developing innovative technologies like SmartFTL and write amplification (WAF) reduction techniques.</p><p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.</li>
<li>Participate in, or lead, design reviews with peers and stakeholders to decide amongst available technologies.</li>
<li>Enhance the performance, efficiency, and reliability of Google's core flash storage.</li>
<li>Enable adoption of new SSD technologies to reduce costs and improve capabilities.</li>
<li>Influence future storage hardware designs.</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>

Senior Software Engineer, Google Cloud Storage

The Museum of Modern Art

<div><p>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.</p>
<p><b>
Responsibilities:</b></p>
<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>
<p><b>Requirements:</b></p>
<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>
<p><b>Reports to:</b> Director of Engineering</p>
<p><b>
Salary Range:</b> Minimum of $140,000 to a maximum of $160,000 per annum</p>
<p><b>
Application instructions: </b>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.</p>
<p><i>
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;).</i></p><p>
Equal Opportunity Employer<br>
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.</p></div>

Senior Data 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>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</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>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.<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>

Senior Software Engineer, AI/ML GenAI, Google Cloud

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