applications 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

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

City of New York

<div>
 DCAS's mission is to make city government work for all New Yorkers. From managing New York City's most iconic courthouses and municipal buildings, to purchasing over $1 billion annually in goods and services for more than 80 City agencies. What we do ensures that all agencies can deliver on their mission. Our reach
 
 
 Touches Every Facet Of City Government And Is Instrumental To The Successful Day-to-day Operations Of The City Of New York. Our Commitment To Equity, Effectiveness, And Sustainability Guides Our Work Providing City Agencies With The Critical Resources And Support Needed To Succeed, Including
 
 
 <ul>
 <li>
 Recruiting, hiring, and training City employees.
 </li>
 <li>
 Managing 56 public buildings.
 </li>
 <li>
 Acquiring, selling, and leasing City property.
 </li>
 <li>
 Purchasing over $1 billion in goods and services for City agencies.
 </li>
 <li>
 Overseeing the greenest municipal vehicle fleet in the country.
 </li>
 <li>
 Leading the City's efforts to reduce carbon emissions from government operations.
 
 
 </li>
 </ul>
 When you work at DCAS, you're not just working for one agency, but in service to all of them. It's an opportunity to provide meaningful support, quality customer service, and help protect the future of New York City for generations to come. Visit our website at NYC.GOV/DCAS to learn more about the work we do.
 
 
 DCAS Information Technology works in conjunction with the NYC Office of Technology and Innovation (OTI) on the daily management and support of the DCAS computer network. DCAS IT team members are responsible for the agencies software and hardware needs, the development and maintenance of applications, maintenance of the DCAS internet and intranet (DCASConnect) sites, the DCAS Help Desk, telecommunications services and equipment for DCAS employees, and the Cyber Security program to thwart any attempts at unauthorized access to the network
 
 
 The Infrastructure Engineer reports directly to the agency Chief Information Security Officer (CISO), responsible for protecting, monitoring, and enhancing the infrastructure and security posture of NYC Department of Citywide Administrative Services information systems, applications, networks, and cloud environments. The position combines advanced incident response, digital forensics, threat detection, vulnerability management, cybersecurity analytics, governance, risk and compliance (GRC), and security operations functions. The role serves as a technical escalation point for cybersecurity incidents, supports enterprise security initiatives, conducts cybersecurity assessments and audits, develops policies and procedures, and collaborates with City agencies, vendors, and stakeholders to improve cyber resilience and operational security.
 
 
 <ul>
 <li>
 Assist the Agency CISO in ensuring cybersecurity-related change management and CI/CD processes align with NIST separation of duties requirements.
 </li>
 <li>
 Support the CISO with agency cyber awareness training, security onboarding and readiness assurance, and knowledge transfer for cloud-based applications.
 </li>
 <li>
 Lead and coordinate cybersecurity incident response, digital forensics, malware analysis, threat hunting, containment, eradication, recovery, and post-incident activities.
 </li>
 <li>
 Monitor and analyze security events, alerts, logs, and threat intelligence using SIEM, endpoint protection, cloud security, and monitoring platforms.
 </li>
 <li>
 Perform vulnerability assessments, risk analyses, remediation tracking, validation testing, and reporting across infrastructure, applications, cloud environments, and endpoints.
 </li>
 <li>
 Conduct cybersecurity audits, control assessments, risk reviews, and compliance evaluations aligned with NIST CSF, NIST SP 800-53, CIS Controls, Zero Trust principles, and Citywide cybersecurity policies.
 </li>
 <li>
 Develop and maintain cybersecurity policies, standards, procedures, playbooks, incident response plans, and operational documentation.
 </li>
 <li>
 Support Identity and Access Management (IAM) operations, including SSO, MFA, RBAC, access reviews, provisioning, deprovisioning, and privileged access governance.
 </li>
 <li>
 Analyze cybersecurity metrics, trends, vulnerabilities, incidents, and operational performance indicators; develop executive-level reports and recommendations.
 </li>
 <li>
 Partner with internal technology teams, application owners, vendors, City agencies, and external partners to improve cybersecurity capabilities and remediation outcomes.
 </li>
 <li>
 Support cloud security reviews, application security assessments, secure application onboarding, and software security initiatives.
 </li>
 <li>
 Provide technical leadership, mentoring, and guidance to junior cybersecurity staff and cross-functional stakeholders.
 </li>
 <li>
 Assist with audit readiness, evidence collection, regulatory compliance activities, and cybersecurity governance initiatives.
 </li>
 <li>
 Research emerging threats, technologies, attack techniques, and industry best practices to strengthen defensive capabilities.
 
 
 </li>
 </ul>
 
 To Apply
 
 
 
 Please go to www.nyc.gov/jobs, or www.nyc.gov/ess for current NYC employees, and search for Job ID #788324.
 
 
 No phone calls, faxes or personal inquiries permitted. Only those candidates under consideration will be contacted.
 
 
 IT INFRASTRUCTURE ENGINEER - 95714
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A baccalaureate degree from an accredited college in computer science, engineering or a related field and four years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
 </li>
 <li>
 A baccalaureate degree from an accredited college and eight years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
 </li>
 <li>
 Education and/or experience which is equivalent to "1" or "2" above.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 The preferred candidate will bring the following skills and experience to this position. - Experience with Qualys, Wiz, Rapid7, Veracode, HCL AppScan, Snyk, CrowdStrike, Microsoft Defender, SolarWinds SEM, ServiceNow, Jira, GitHub Enterprise Copilot Security, GitHub Copilot, BitSight, Security Scorecard, Shodan, or similar platforms. - Experience supporting Microsoft Entra ID (Azure AD), SAML 2.0, OAuth 2.0, OpenID Connect, Conditional Access, MFA, RBAC, and enterprise identity governance. - Experienced SaaS Security Support for Air Table, Miro, Canva, SurveyMonkey and similar Enterprise cloud-based applications. - Digital forensics, malware analysis, threat hunting, SIEM operations, threat. - Knowledge of digital forensics, malware analysis, threat hunting, SIEM operations, threat intelligence, and incident response methodologies. - Experience conducting cybersecurity audits, GRC assessments, risk reviews, and control testing. - Experience analyzing large datasets, cybersecurity metrics, trends, KPIs, and operational performance indicators. - Strong understanding of cloud security principles and enterprise application security. - Excellent written, verbal, presentation, and stakeholder management skills. - Ability to work independently, manage multiple priorities, providing technical leadership. - Industry certifications such as Microsoft Security and Compliance SC-900, Azure AZ-900, AWS Cloud Practitioner, Security+, CySA+, GCIH, GCFA, CISSP, CISM, CEH, or comparable. - Experience supporting public-sector, regulated, or large enterprise environments.
 
 
 Public Service Loan Forgiveness
 
 
 As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.
 
 
 Residency Requirement
 
 
 New York City Residency is not required for this position
 
 
 Additional Information
 
 
 The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
 
 
 , $115,000.00 &ndash; $141,180.00
</div>

Cyber Security Analyst

Cerberus Capital Management

<div>
 
 Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at
 
 www.cerberus.com
 
 .
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a Full Stack Hands-on Software Engineer with security-first mindset, strong product ownership, and technical expertise. The ideal candidate will lead development for back-end middle-office products, collaborate closely with business stakeholders, and deliver secure, scalable, high-quality solutions. This role requires both technical depth and the ability to translate business needs into functional products.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and build full-stack applications using React (TypeScript) for front-end and Node.js for back-end services
 </li>
 <li>
 Develop and maintain RESTful APIs; integrate with internal and external systems
 </li>
 <li>
 Implement distributed systems and clean design principles for scalable, high-performance applications
 </li>
 <li>
 Deploy and manage cloud-based solutions on Azure (or other cloud platforms) with best practices for security and reliability
 </li>
 <li>
 Engage in security remediation activities, primarily focused on fixing findings from security vulnerability scans across business applications
 </li>
 <li>
 Write clean, maintainable code following SDLC standards; perform code reviews and enforce best practices
 </li>
 <li>
 Leverage AI tooling for SDLC automation, including but not limited to story creation and refinement, code generation, unit test development, and other repeatable operational activities
 </li>
 <li>
 Monitor and optimize application performance across the full stack
 </li>
 <li>
 Perform production support activities, applying creative thinking to effectively investigate and resolve production issues
 </li>
 <li>
 Work with SQL and related technologies to design efficient queries and manage large datasets
 </li>
 <li>
 Implement and maintain CI/CD pipelines for automated build, test, and deployment processes
 </li>
 <li>
 Engage with business analysts, stakeholders, and vendors to capture requirements and align technology with business goals
 </li>
 <li>
 Mentor junior developers, ensure timely delivery, and drive continuous improvement in development processes
 </li>
 <li>
 Clearly articulate concepts, designs, and strategies to technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Articulate communicator who brings creativity to complex problem-solving skills
 </li>
 <li>
 Experience coding and building scalable solutions in React (TypeScript), Node.js and JavaScript
 </li>
 <li>
 Proven full-stack experience in API and web application development
 </li>
 <li>
 Hands-on experience identifying and addressing security vulnerabilities leveraging AI
 </li>
 <li>
 Strong knowledge of distributed systems and clean architecture principles
 </li>
 <li>
 Familiarity with Generative AI and passion for leveraging AI tools in SDLC
 </li>
 <li>
 Experience designing systems, Azure (or other cloud providers), and SQL
 </li>
 <li>
 Demonstrated ability to lead projects end-to-end with accountability for quality
 </li>
 <li>
 Ability to work independently and within cross-functional teams.
 </li>
 <li>
 Required experience in production support activities, including the ability to think creatively and effectively resolve production issues
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 &middot; Experience with Agile methodologies
 
 
 &middot; Proficiency in Python; C# experience is a plus.
 
 
 &middot; Applied AI experience in engineering workflows or business-facing solutions
 
 
 
 
 
 
 Compensation:
 
 
 
 The base salary for this position is expected to be between $135,000.00 and $150,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.
 
</div>

Associate, Software Engineer

Elliptic

<div>Do you want to help define the future of finance?
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?
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.
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.<h2 class="jobSectionHeader"> 
The impact you will have</h2>
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.
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.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Write, ship, and maintain production code as a hands-on engineer.</li><li>
Architect, design, and implement large-scale distributed data systems and pipelines.</li><li>
Contribute to technical decision-making across batch and streaming data solutions.</li><li>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</li><li>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</li><li>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</li><li>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</li><li>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</li><li>
Help shape the technical roadmap for data engineering across Elliptic.</li><li>
Leverage and deploy AI and agentic systems to operate more effectively.</li></ul><h2 class="jobSectionHeader"> 
Tech environment</h2>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming<h2 class="jobSectionHeader">
You will thrive here if you</h2><ul><li>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</li><li>
Strive for engineering excellence and scalable, sustainable systems.</li><li>
Use data and experimentation to guide decisions.</li><li>
Communicate openly and collaborate across teams.</li><li>
Support and coach less-experienced engineers.</li><li>
Believe every challenge is an opportunity to simplify and innovate together.</li><li>
Enjoy working with AI to benefit the company, your team and yourself.</li></ul><h2 class="jobSectionHeader"> 
What we are looking for</h2><ul><li>
Hands-on production experience with Scala and functional programming.</li><li>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</li><li>
Hands-on experience with big data frameworks such as Spark or Databricks.</li><li>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</li><li>
Judgement to balance scalability, performance, and maintainability.</li><li>
Experience with data modelling and workflow orchestration.</li></ul><h2 class="jobSectionHeader">
Bonus points for</h2><ul><li>
Experience in stream processing frameworks and event-driven architecture.</li><li>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</li><li>
Experience working in containerised environments (Docker, Kubernetes).</li><li>
Interest in AI-driven tooling for engineering workflows.</li><li>
Interest in crypto and blockchain technologies.</li></ul>
How we work:<ul><li>
Hybrid working: The option to work from almost anywhere for up to 90 days per year.</li><li>
Remote Work Budget: $650 budget to set up your home office space.</li></ul>
Learning &amp; Development:<ul><li>
L&amp;D Budget: $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</li></ul>
Vacation / Leave:<ul><li>
Holidays: 25 days of annual leave + US Public Holidays.</li><li>
Birthday Leave: An extra day off for your birthday.</li><li>
Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</li></ul>
Benefits:<ul><li>
Healthcare: 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.</li><li>
401k: Company match included.</li><li>
Mental Health: Full access to Spill mental health support.</li></ul> 
 
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. 
 
No recruitment agencies please!
Compensation Range: $165K - $305K</div>

Senior Software Engineer - Data

Rensselaer Polytechnic Institute

<div>Who we are
Why Rensselaer? 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.
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.
<div>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.
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:
<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>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.
</div><div><div><div>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.
</div></div></div><div>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.
</div>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.
Are you ready to change the world? Apply now!
Job Summary
Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul>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.
Qualifications
<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>Pay transparency data:
Pay transparency disclosure: 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.
Postdoctoral Research Associate: $62,354 - $65,000 / yr
 
Research Associate: $64,000 - $66,000 / yr
 
Research Scientist: $66,000 - $95,000 / yr
 
Sr. Research Scientist: $80,000 - $138,000 / yr
 
***
Research Specialist $18.00 - $26.44 / hr
 
Sr. Research Specialist $62,354 - 66,000 / yr
 
***
Research Engineer: $66,000 - $86,000 / yr
 
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
 
***
Research Assistant: $16.00 - $22.00 / hr
Application instructions 
Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter
If you need assistance with the online application process, please contact careers@rpi.edu
Job Posted Date
Applications will be accepted until the position is filled.
Total Compensation and Benefits Information
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> 
</div><div>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 is an Equal Opportunity Employer.
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.</div> 
#LI-DNI</div>

Materials & Manufacturing Researchers

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 1 year of experience designing data pipelines (ETL) and model data.
 </li>
 <li>
 Experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
 </li>
 <li>
 Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience working in a data science environment, supporting feature engineering and model automation needs.
 </li>
 <li>
 Experience working with big data tools, distributed computing and non-relational databases.
 </li>
 <li>
 Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs.
 </li>
 <li>
 Passion for analyzing large and complex data sets and converting them into the information which drive business decisions.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The GCS Data Science team is working on challenging yet interesting problems for the GCS (Google Customer Solutions) division of Global Business Organization (GBO). Our goal is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
 
 
 The Data Science Engineering (DSet) subteam is responsible for supporting data engineering needs for the GCS Data Science teams including building new data pipelines, automation, observability and reporting tools.
 
 
 As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and reporting tools that enable our data scientists, through feature engineering, automated data extracts and wrangling needs, and scaled insights for both the data science team and our users.
 
 
 Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you&rsquo;ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
 
 
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 US: $106000 - $151000 (USD) + 15% bonus target + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization.
 </li>
 <li>
 Use feature engineering to support data needs for ML/AI model development and subsequent scaling through ETL pipeline development.
 </li>
 <li>
 Recognize and adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.
 </li>
 <li>
 Design and develop scalable and actionable solutions (dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow.
 </li>
 <li>
 Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers.
 
 
 
 </li>
 </ul>
 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>

Data Engineer, GCS Data Science

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