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Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1 !. Apple is an equal opportunity employer that is committed to inclusion and diversity. At Apple, we focus deeply on the customer experience.

Come help us design the next generation of revolutionary Apple products. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple’s c

Here on the Apple Store Online team, we are responsible for Apple’s largest store. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Ap

We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. Apple is an equal opportunity employer that is committed to incl

R&D Machine Learning Engineer (Engineering Scientist Associate). Development of novel machine learning algorithms for application to sonar and underwater acoustics, as well as the accompanying data analysis to effectively characterize their performance in the Advanced Technology Laboratory (ATL). De

Job Description Lead AI / ML Engineer - Architect Autonomous Defense Systems at the Tactical Edge! Austin, TX | On-site Opportunity Summary Join a funded defense technology startup developing autonomous robotic systems designed to counter rapidly evolving small unmanned aerial threats. Our initial platform focuses on defensive counter UAS applications operating in high consequence environments where latency, resilience, and autonomy are non negotiable. We are seeking a Lead AI / ML Engineer to own the machine intelligence architecture behind these systems. This is not an execution-only position. You will define model strategy, guide technical direction, and ensure our learning systems translate into reliable field performance under strict size, weight, and power constraints. If you are driven to build real-world autonomy that performs outside of lab conditions, this is a rare opportunity to lead from the front. About Us We are a venture-backed robotics company building autonomous machines for national security missions. Our systems integrate perception, control, and embedded intelligence to operate at the tactical edge. The team combines deep experience in robotics, machine learning, and hardware development, and we are scaling quickly to meet urgent operational demand. Our work sits at the intersection of autonomy, defense applications, and next-generation edge AI. Job Duties • Define and lead the machine learning architecture for real-time threat detection, tracking, and classification, • Design and train advanced neural networks capable of distinguishing hostile aerial systems from environmental noise, • Architect sensor fusion pipelines integrating radar, RF, optical, and acoustic data streams, • Guide development of transformer-based and imitation learning control frameworks, • Oversee model optimization for deployment on constrained edge hardware platforms, • Establish MLOps processes for field deployment, monitoring, iteration, and performance validation, • Develop anomaly detection strategies to identify novel or previously unseen aerial threats, • Partner with robotics and perception teams to ensure seamless integration between model outputs and real-time guidance systems, • Mentor engineers and set technical standards across the AI stack Qualifications • Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or related discipline, • 5+ years of experience developing and deploying machine learning systems in production environments, • Expert-level proficiency in Python, • Extensive experience with deep learning frameworks such as PyTorch or TensorFlow, • Strong command of neural network design, classification systems, and multi-sensor data fusion, • Proven experience optimizing models for resource-constrained or edge-based hardware, • Deep understanding of linear algebra, calculus, probability, and statistics as applied to machine learning systems, • Experience leading projects or technical teams within AI or robotics domains, • U.S. Person status required due to export-controlled work, • Willingness to complete a background check Preferred Experience • Experience working in a defense or dual-use robotics environment, • Security clearance or ability to obtain one, • Background in anomaly detection, adversarial robustness, or resilient AI systems, • Experience deploying AI models on embedded platforms such as NVIDIA Jetson or similar, • Personal passion for robotics, hardware experimentation, or autonomous systems Why Join Us • Lead technical direction for a mission-critical autonomy platform, • Direct influence on product architecture and roadmap, • Early-stage equity participation, • Newly built laboratory environment with advanced prototyping equipment, • Opportunity for rapid growth as the organization scales, • Work on systems that address urgent national security needs Compensation Details Salary: $200,000 - $300,000 #LI-AV

Job Description We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to join a fast-growing start-up with equity ownership. What You'll Do: • Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification., • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability., • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture., • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions., • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company., • Contribute to the hardening of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges. What You'll Need: • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career., • At least a master's degree in computer science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision., • 9+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics., • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications., • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar., • Experience with embedded systems and integrating computer vision algorithms into hardware., • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems., • You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.Company DescriptionAt Darbytek, our goal is to build a better future for people and business. We specialize in recruiting skilled individuals for both full-time direct hires and contract positions. Allow us to help you with your next opportunity.At Darbytek, our goal is to build a better future for people and business. We specialize in recruiting skilled individuals for both full-time direct hires and contract positions. Allow us to help you with your next opportunity.

Job Description Title: Software Engineer – Data Platforms & Factory Analytics Cable Backplane Systems Location: Valley Green, PA; Nashua, NH; Raleigh, NC; Austin, TX Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are expanding our team software team. We are currently seeking a Software Engineer for Cable Backplane Systems to join our team. Our team develops cable backplane system enabling AI Datacenters. The focus of this position is on software development to build and scale data platforms that connect factory test data, manufacturing systems and engineering analysis workflows. This role combines software engineering, data engineering and applied analytics, with opportunities to incorporate AI/ML techniques to improve factory efficiency, product quality and engineering insight and development. Responsibilities: • Data & Platform Engineering, • Design, implement and maintain scalable databases and pipelines for factory and engineering data, • Integrate data from MES, Lab equipment and Engineering Designs, • Ensure data integrity and traceability and performance across high volumes, • Define schemas, and data models that can support analytics, reporting and provide actionable feedback, • Factory & Engineering Integration, • Work with factory, test and engineering teams to understand data being generated and usage requirements, • Build APIs and services enabling reliable data transfer, • Support automation of test result collection, analysis and reporting, • Analytics & AI Enablement, • Develop infrastructure to support advanced analytics and AI/ML workflows, • Explore use of AI for yield analysis and predictive insights, • Collaborate with domain experts to, • BS in Computer Science or Computer Engineering, • 5+ years of industry experience with software tools development, • Experience in largescale database design and data pipelines, • Experience in data analytics, statistics, or machine learning workflows, • Familiarity with visualization, dashboards or reporting tools, • Work experience in multi-disciplinary engineering teams, • Comfortable working in a team that shares code and with peer reviews of code, • Hands-on experience with source code control systems, including a habit to make regular check-ins, • Excellent interpersonal communication skills, strong English reading and writing ability, • Self-starter, able to work efficiently without having all details or requirements laid out on the table, • Dynamic and adaptable personality, able to think out of the box

Job Description About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first Objective Mental Health Diagnostics on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided and will enable access to treatment for hundreds of millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. Role Description We are seeking a highly skilled Software as Medical Device (SaMD) Quality Engineer with substantial experience in SaMD design, development, and medical device quality systems. This pivotal role involves overseeing our AI-enabled SaMD products across the entire lifecycle—from initial development through post-market surveillance, ensuring adherence to all regulatory, quality, and customer requirements. The role title (Engineer or Sr. Engineer) will be commensurate with the candidate's experience level. Responsibilities • Partner with Engineering, R&D, Regulatory, and Clinical teams to ensure compliance with ISO 13485, 21 CFR Part 820, IEC 62304, ISO 14971 and other applicable standards., • Support design and development activities by developing and reviewing design control documentations and facilitating design reviews to ensure compliance with Senseye QMS and regulatory requirements., • Ensure AI/ML Models are developed in accordance with Good Machine Learning Practices (GMLP) and latest FDA guidances., • Perform risk management activities per ISO 14971, including creation and maintenance of risk analyses., • Collaborate with development teams on cybersecurity requirements, threat modeling, vulnerability assessments, and post-market monitoring in accordance with FDA guidances, and other international standards to ensure product security., • Perform Usability and Human Factor Engineering related activities for SaMD, • Define and implement and non-product software validation strategies in alignment with FDA’s CSA guidance, 21 CFR Part 11 and GAMP 5 principles., • Define and implement supplier qualification strategies., • Contribute to the development and continuous improvement of the SaMD QMS processes, • Investigate and resolve product quality issues, nonconformances, and CAPAs using root cause analysis techniques., • Lead or support internal and external audits (e.g., FDA, Notified Bodies, ISO registrars)., • Monitor post-market product performance and contribute to complaint handling and field actions when needed., • Drive quality metrics reporting and trend analysis to support management reviews and continuous improvement initiatives., • Perform agile software development/quality practices, • Ability to think outside the box and come up with new ways to solve challenging problems., • Bachelor’s degree in Science or Engineering, or related technical discipline., • 4+ years of experience in medical device quality engineering with 2+years in the SaMD/SiMD environment (SaMD/SiMD experience is a must!), • Strong understanding of quality systems and regulatory frameworks, including ISO 13485, ISO 14971, IEC 62304, and 21 CFR Part 820/11., • Experience with design control, risk management, and software validation., • Familiarity with Github, Jira, Confluence, and modern eQMS tools., • The freedom and trust to define your role as we design, build, and ship our products, • Competitive salary and stock option plan, • Flexible paid time off (vacation, sick leave, and public holidays), • Flexible schedules, • Company health care plan, • Medical, dental, and vision insurance, • Short and long term disability insurance, • Life insurance policy, • 401k, • Commuter benefits for parking, public transit, carshares, etc., • Mothers' room, • Fully stocked kitchen, • Opportunities for continuing education The compensation for this role is $97,000 - $121,000 annually. Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Job Description About Shipwell At Shipwell, we empower supply chain efficiency and service effectiveness at scale. The Shipwell platform includes capabilities previously out of most shippers' technical reach and affordability today. Our solution combines everything shippers need, from transportation management and visibility to procurement, in a comprehensive, easy-to-use platform. It will adapt and scale as market and business demand change, allowing shippers to operate, manage, and optimize the shipping process seamlessly. Industry experts have recognized Shipwell's traction in the market and have differentiated Shipwell as a leader in the logistics industry. Awards include Gartner Magic Quadrant for TMS 2025, 2024, 2023, 2022, 2021, Food Logistics' 2024 Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us! About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data pipelines and ML infrastructure that power our autonomous digital workers and drive data-driven decision-making across the organization. Your work will span the full machine learning lifecycle—from extracting and transforming data from diverse sources to implementing production-grade ML models in our cloud environment. You'll optimize our AWS infrastructure, establish data integrity standards, and create scalable architectures that enable research teams to access the data they need. Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on Shipwell's ML and data infrastructure, make critical technical decisions, and contribute to projects at the forefront of GenAI and machine learning in the logistics industry. You'll own the processes you create and have the opportunity to grow your skills while revolutionizing how the supply chain operates. What we're looking for: • Experience designing and implementing ML models and maintaining relevant data in AWS, • Experience working with DevOps to enable your team access to the tools they need, • Contributing to every part of the machine learning product lifecycle, • Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring, • Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling, • Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability, • Experience with version control tools (GitHub, GitLab) and Agile methodologies., • Experience with agentic tooling and pipelines including LangChain, LangGraph, and LangSmith, • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience., • Excellent communication skills to effectively collaborate with different teams within the engineering orgWhat you'll do when you get here:, • Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level, • Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization, • You will own all of the data and ML processes you create, • You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward, • Enjoy working remotely with the added perk of a home office reimbursement, • Unlimited Paid Time Off (PTO), • A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&D coverage, and flexible/health savings accounts, • 401K program where Shipwell matches up to 4%, • All employees receive stock options, • A yearly learning and development budget, • Subsidized internet, cell phone, fitness, and educational reimbursements, • Virtual team-building events where fun and connection take center stage, • Join a vibrant, inclusive workplace shaped by friendly, talented individuals, • Receive a technology package, including a MacBook Pro Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately, a better product and company culture. Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do, then please come as you are. We want you to contribute, grow, & learn at Shipwell. We are looking forward to adding new perspectives to our team! Shipwell employees will only ever email you about this position from a @shipwell.com email address. For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc

Job Description POSITION SUMMARY The Pipelines Engineering team at Natera builds and maintains analytical bioinformatics pipelines to reliably translate raw genomic data into clinically actionable insights for a global patient population. We optimize development velocity across R&D and Engineering. We deliver high quality, reliable, compliant production bioinformatics pipelines and associated infrastructure with global reach and scale. And we provide Natera diagnostic tests with the "secret sauce" needed for commercial success. The Pipelines Engineering team seeks a software / bioinformatics engineer to develop new and refine existing bioinformatics pipelines with global impact and tremendous scale. In this role you will work as an integral part of a globally distributed development team collaborating closely with R&D to develop production algorithms from statistical models and prototypes and to create data analysis tools supporting research efforts. You will also work closely with stakeholders to define product requirements and translate requirements to corresponding software designs. PRIMARY RESPONSIBILITIES * Implement new and enhance existing functionality in our portfolio of pipelines supporting Natera's business * Lead the end to end delivery of functionality, from requirements to deployment * Process large numerical datasets efficiently * Support and extend our next generation sequencing framework * Troubleshoot and resolve defects, craft reliable unit tests, perform code reviews and root cause analysis * Continue improving processes and procedures and evangelizing best practices * Understand and be compliant with regulatory, security and data privacy requirements QUALIFICATIONS: * BS Computer Science, Bioinformatics, Information Systems, etc. MS preferred. * Data Structures / Algorithms Coursework KNOWLEDGE, SKILLS AND ABILITIES * Containerization: Docker (preferred), Singularity * Orchestration: DNAnexus (preferred), SevenBridges, Azure / AWS Batch, Cromwell, Kubernetes, Toil, miniWDL, AWS Omics * Orchestration Language: WDL (preferred), CWL, YAML, Nextflow, Snakemake * Cloud: AWS, Azure, Google, AliBaba * Programming Language: Java (preferred), Python, R * Source control: GitLab (preferred), Bitbucket, GitHub, TFS * Extensive analytic troubleshooting skills * Excellent communication and organizational skills, especially for problem solving under pressure * Strong technical documentation skills * Eagerness to acquire new skills in genetics * Ability to thrive in a fast-paced environment and manage multiple tasks independently Preferred Technologies: * High performance computing on a local cluster * Bioinformatics Tools: GATK, SAMtools, bedtools, bwa, primer3, etc. * Security / Privacy: HIPAA, GDPR * Biology: Next-generation sequencing, Sanger sequencing, MLPA, PCR, Southern Blot * Data science: Machine learning, deep neural networks The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$125,600—$157,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Essential Functions We are seeking a Site Reliability Engineer to work in the Product Reliability Engineering function within Operations & Infrastructure. This individual will: • Perform day-to-day site reliability engineering functions including maintenance and incident resolution for Visa's applications, products, and services., • Perform ongoing/proactive analysis of applications to detect potential problems and actively engage & facilitate the discussion to find the best possible solution., • Work under direct supervision to ensure on-time delivery of projects, and production support plans for upgrades, enhancements, and deployments., • Work closely with service partners such as product development, engineering teams to seamlessly implement the innovative solutions to improve the reliability, scalability, and efficiency., • Assist in automating the routine tasks and processes to improve overall efficiency and reduce human errors., • Actively participate in troubleshooting activities and SWAT calls and drive investigation towards swift resolution., • Build comprehensive and robust documentation repositories that can facilitate knowledge transfer among PRE and Global Operations peers., • Assist the team with implementing GenAI and machine learning trends to continuously optimize the application reliability and efficiency., • Participate in on-call roster to support business including off-hours. Basic Qualifications • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), • Working knowledge of one or more programming languages such as Python, Java, .NET, C#, PowerShell, Bash scripting., • Understanding of Linux/Unix systems, • Understanding of networking concepts, protocols, and architecture., • Proven track record of automating complex tasks and processes to improve efficiency and reliability, • Cloud technologies such as AWS, Azure, etc., • Database management systems such as MSSQL, MongoDB, etc., • Middleware technologies such as Tomcat, Apache, etc., • Containerization technologies such as Docker, Kubernetes, etc., • Infrastructure-as-code tools such as Terraform, Ansible, etc., • Monitoring tools such as Splunk or other Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for this position is $110,700 to $171,800 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Join the Origis Energy Team! Origis Energy is accelerating the transition to a carbon-free future by Reimagining ZeroSM. As one of America's leading renewable energy and decarbonization solution platforms, the company continues to expand and reimagine its contribution to the world's net-zero goals. Origis Energy puts customers first to deploy a wide range of sustainable solutions for grid power generation, performance optimization, and long-term operation of solar and energy storage plants across the U.S. Founded in 2008, Origis Energy is headquartered in Miami, FL. The Origis team, regarded as one of the leading developers in the U.S., is committed to living five core values in all interactions both with each other and external stakeholders: Solve for Tomorrow. A role with Origis Energy puts you at the forefront of the transition to clean energy. Are you ready to bring new ideas? Do you exist to find solutions? That's how we revolutionize energy and build a carbon-free future - through unmatched service and relentless innovation. Rise Together. To succeed here, you'll collaborate with others and work as one team, across various teams including solar and energy storage development, financing, engineering, procurement and construction (EPC) and operations, maintenance and asset management. Are you open to diverse perspectives and prepared to work seamlessly across disciplines to reach our collective goals? Perform at Peak. We're seeking team members who bring authentic energy and passion to every task. How can you use your natural strengths, genuine optimism and intelligence to make your greatest contributions to Origis? Inspire & Grow. The Origis team is comprised of knowledgeable, passionate solar and energy storage experts who bring deep expertise and solution-driven thinking to clients. A successful Origis team member encourages others and sets a high bar for growth. We have a culture of continuous improvement because each team member takes the role of both learner and mentor. Be Resilient. The spirit in which we tackle the energy challenges and objectives of our clients means we consistently stretch for the extra mile. We all take initiative and remain adaptable, overcoming obstacles by prioritizing respect. Position Description The Senior Data Engineer position, reporting to the Senior Business Systems Manager, will be responsible for design, build, and optimize our data infrastructure with a focus on Databricks, Python, and modern data engineering practices. This role will support data ingestion, transformation, and analytics across operational, financial, and production systems, enabling stakeholders to make informed decisions. Knowledge of JavaScript or front-end integration is a plus for enhancing reporting and user-facing tools. The Senior Data Engineer is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits. Key Responsibilities • Develop, optimize, and maintain scalable data pipelines and ETL processes in Databricks., • Integrate data from diverse sources (plant SCADA systems, IoT devices, financial/ERP systems, market data, etc.)., • Write efficient, maintainable code in Python for data transformation, automation, and analytics., • Design and maintain Delta Lake, SQL-based transformations, and structured streaming workflows., • Implement data quality checks, monitoring, and governance to ensure accuracy and reliability., • Collaborate with data analysts, business stakeholders, and operations teams to deliver insights., • Support Power BI and other visualization platforms by preparing curated datasets., • Apply JavaScript to extend visualization capabilities or enhance web-based reporting tools., • Bachelor's or Master's in Computer Science, Data Engineering, or related field., • 3+ years of experience as a Data Engineer (preferably in energy, utilities, or industrial environments)., • Strong hands-on experience with Databricks (PySpark, Delta Lake, Delta Sharing, MLflow a plus)., • Proficiency in Python for data engineering and automation tasks., • Solid SQL skills for complex queries and data modeling., • Familiarity with cloud platforms (AWS, Azure, or GCP), especially in a data context., • Experience with CI/CD pipelines, Git, and Terraform for Databricks., • Familiarity with dbt, Airflow, or other orchestration tools., • Understanding of data privacy, security, and compliance principles (e.g., row-level security, encryption)., • Exposure to machine learning workflows and MLflow., • Occasional work during evenings/weekends for maintenance or upgrades. Location: Austin, TX - hybrid schedule (WFH Mon & Fri) Travel: N/A Job Level: Senior Engineer - no direct reports Origis Energy is an Equal Opportunity Employer (EOC). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We embrace and encourage our employees' differences as that is what makes our employees unique. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. More information is available here. California Applicants: Please review our California Privacy Policy and Notice at Collection. Request for Support or Accommodations: As part of our effort to provide equal opportunity to qualified disabled veterans and individuals with disabilities, we are happy to offer support and special accommodations in order for you to successfully reach us with your interest. Please reach out to us at if you would like to request help with your application.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Sr. ML Engineer (multiple openings) in Austin, TX To: • Architect, design, build, develop, test, and/or implement software systems and/or applications., • Conduct business and technical analysis, code reviews and unit testing, and implement and produce technical documentation of solutions for new development, system enhancements, and production support., • Design, develop and implement modifications and corrections to existing software, including the development of debugging routines., • Serve as an integral part of the Data Science product development team, investigate new requirements, and design and refactor existing functionality for performance and maintainability., • Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions., • Contribute in delivery of high-quality solutions that conform to requirements and the architectural vision and comply with all applicable standards., • Engage in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding; deep understanding of the business needs is important., • Facilitate design reviews to provide input on functional requirements, product designs, schedules, or potential problems., • Facilitate code reviews with team members and third-party vendors. Review and assess impact of proposed scope changes on assigned deliverables. Work with other engineering teams to facilitate a common approach to continuous integration that includes build automation, test automation, and deployment automation., • Collaborate with senior technical staff and PM to identify, document, plan contingency, and track and manage risks and issues until all are resolved., • Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner., • Position reports to the Austin, Texas office and may allow for partial telecommuting.Qualifications Basic Qualifications: Employer will accept a Master's degree in Computer Science, Computer Engineering, Information systems or related field and 2 years of experience in the job offered or in a Sr. ML Engineer-related occupation. Position requires experience in the following: • Knowledge of Creational, Structural, Behavioral and Concurrency and understanding of ML algorithms (XGBoost, KNN, SVM, LSTM, Transformers, PCA and other deep learning models), • Statistical computer programs for Machine Learning, Deep learning and natural language processing – Python, Tensorflow, SkLearn, SOLAR, SAS, MatLab, CUDA and GPU Acceleration, • Development of generic fraud detection systems using GANs, GNNs, DBSCAN clustering, • Pandas, NumPy, and SQL, as well as Matplotlib and Seaborn, • Bigdata technology stack: Hadoop and MapReduce, Spark, Pig, Impala, Kafka, • ML cloud services using AWS, Azure or GCP, • OWASP, static/dynamic analysis, and common security tools, • Oracle, MySQL, HBase, Cassandra, Hive, MongoDB, • Development utilizing Java/J2EE/JavaScripts and in using Java Web Application framework including Spring, Hibernate and Data JPA, • Web services standards and related technologies (XML, JSON, Rest, and SOAP) Additional Information Worksite: Austin, TX Travel Requirements: This position does not require travel Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for this position is $130,700.00 USD to $202,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Location: New York, NY Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Staff Machine Learning Engineer to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionJob Description Job Title: Software Data Engineer Location: Hybrid (Austin, TX) Security Clearance: Active DoD Secret Clearance We question. We listen. We adapt. Be honest. Be pragmatic. Omni Federal, a Washington, DC-based software solutions provider founded in 2017, specializes in delivering mission-critical and enterprise solutions to the federal government. Originating from the Department of Defense's software factory ecosystem, Omni focuses on Command and Control, Cybersecurity, Space, Geospatial, and Modeling & Simulation. The company leverages commercial technology to enhance the capabilities of the DoD, IC, and their end-users, with innovation driven by its Omni Labs and SBIR Innovation centers. Omni has a presence in Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Why Omni? * Environment of Autonomy * Innovative Commercial Approach * People over process We are seeking a passionate Software Data Engineer to support the Army Software Factory (ASWF) in aligning with DoDM 8140.03 Cyber Workforce requirements and broader compliance mandates. The Army Software Factory (ASWF), a first-of-its-kind initiative under Army Futures Command, is revolutionizing the Army’s approach to software development by training and employing self-sustaining technical talent from across the military and civilian workforce. Guided by the motto “By Soldiers, For Soldiers,” ASWF equips service members to develop mission-critical software solutions independently—especially vital for future contested environments where traditional technical support may be unavailable. This initiative also serves as a strategic prototype to modernize legacy IT processes and build technical readiness across the force to ensure battlefield dominance in the digital age. Required Skills: * Active DoD Secret Clearance (Required) * 4+ years of experience in data science, data engineering, or similar roles. * Expertise in designing, building, and maintaining scalable ETL/ELT pipelines using tools and languages such as Python, SQL, Apache Spark, or Airflow. * Strong proficiency in working with relational and NoSQL databases, including experience with database design, optimization, and query performance tuning (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). * Demonstrable experience with cloud data platforms and services (e.g., AWS Redshift, S3, Glue, Athena; Azure Data Lake, Data Factory, Synapse; Google BigQuery, Cloud Storage, Dataflow). * Solid understanding of data warehousing concepts (e.g., Kimball, Inmon methodologies) and experience with data modeling for analytical purposes. * Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Java, Scala) for data manipulation, scripting, and automation. * CompTIA Security+ Certified or otherwise DoDM 8140.03 (formerly DoD 8570.01-M) compliant. Nice to Have: * Familiarity with SBIR technologies and transformative platform shifts * Experience working in Agile or DevSecOps environments * 2+ years of experience interfacing with Platform Engineers and data visibility team, manage AWS resources, and GitLab admin , About Omni Federal Omni Federal is a small business Defense Contractor focused on modern application development & deployment, cloud enablement, data analytics and DevSecOps services for the Federal government. Our past performance is a mix of commercial and federal business that allows us to leverage the latest commercial technologies and processes and adapt them to the Federal government. Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions. We are on the forefront of Modernization and Automation, and are providing our Customers the option through our services to help them get to where they want to be, and ultimately the end-user.

Job Description Data Science EngineerJob Details • Data Science Engineer (Contract), • Location: Austin TX, 78758 (Hybrid), • Duration: 11/17/2025 to 11/13/2026, • Team: Fraud ADUS Key Responsibilities:, • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification., • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes., • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders. Required Skills & Qualifications:, • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field., • Advanced degrees are a plus., • 5 years of experience in data science and machine learning., • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks., • Hands-on experience with AI agents and LLMs - Preferred., • Showcase a successful history of leading impactful data science initiatives., • Exhibit strong communication and teamwork abilities., • This role is not suitable for entry-level candidates or interns. Compensation:, • $65.00 to $69.72 per hour.#36557742

Job Description LOCATION: Position is available as a hybrid position in San Carlos, California as well as a remote position within the US. Natera is seeking a Senior/Lead Bioinformatics Engineer to join the Bioinformatics Research team focused on Epigenomics in Oncology. Natera's mission is to transform disease management worldwide by leveraging information from a simple blood draw to enable early detection and guide treatment decisions. This role will provide technical leadership in the design, development, and maintenance of large-scale, production-grade bioinformatics pipelines, with a strong emphasis on workflow orchestration using Nextflow and WDL. The ideal candidate brings deep hands-on experience building, optimizing, and operating NGS pipelines in cloud environments, and is comfortable bridging research and production engineering. PRIMARY RESPONSIBILITIES: * Architect, develop, and maintain scalable, production-ready bioinformatics pipelines for next-generation sequencing data, with primary ownership of workflows implemented in Nextflow and WDL * Lead pipeline design decisions with a strong emphasis on modularity, reusability, robustness, scalability, and maintainability * Refactor and optimize existing pipelines to improve performance, cost efficiency, fault tolerance, and ease of extension * Establish and enforce best practices for workflow development, including parameterization, versioning, provenance tracking, and reproducibility * Design and implement comprehensive testing strategies for pipelines and supporting code, including unit, integration, and end-to-end tests * Deeply understand and troubleshoot complex sequencing data processing pipelines across multiple stages (QC, alignment, methylation calling, feature generation, etc.) * Partner closely with Research, Machine Learning, and Platform Engineering teams to transition research workflows into production-grade systems * Support training and evaluation of machine learning models by enabling efficient data generation and large-scale distributed execution on AWS * Participate in and lead code reviews and design reviews, mentoring other engineers and scientists on workflow and software engineering best practices * Contribute to pipeline documentation, onboarding materials, and internal standards QUALIFICATIONS: * MS or PhD in Computer Science, Bioinformatics, Computational Biology, or a related field, with a strong focus on cancer genomics or epigenomics KNOWLEDGE, SKILLS, AND ABILITIES: * Extensive hands-on experience developing bioinformatics pipelines using Nextflow and/or WDL, including complex multi-step NGS workflows * Proven track record of building and supporting production-level bioinformatics software in regulated or high-reliability environments * Deep understanding of software engineering best practices, including workflow design patterns, testing, version control, CI/CD, code review, and documentation * Strong experience with containerized workflows (Docker) and execution on cloud platforms; AWS experience strongly preferred * Expertise in distributed and parallel computing, including workflow execution engines and cloud-native scaling strategies * Experience profiling and optimizing pipelines and code for runtime, memory usage, and cost efficiency * Strong understanding of sequencing technologies and data types, particularly methylation and epigenomic assays * Advanced programming skills in Python, including experience with scientific and data-processing libraries (e.g., Pandas, NumPy, scikit-learn) * Expert-level proficiency with Linux, shell scripting, and command-line bioinformatics tools * Ability to work independently, lead technical initiatives, and manage multiple priorities in a fast-paced environment * Strong communication skills and a collaborative mindset Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: * Annual performance incentive bonus * Long-term equity awards * Comprehensive health benefits (medical, dental, vision) * 401(k) with company match * Generous paid time off and company holidays * Additional wellness and work-life benefits Compensation Range $144,000—$180,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionPlease Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is highly collaborative, working closely with product, backend, and systems engineering teams to design, integrate, and maintain robust ML applications that support CesiumAstro’s mission. JOB DUTIES AND RESPONSIBILITIES • Design, develop, and maintain deep learning pipelines for real-time data processing., • Evaluate and curate relevant datasets; establish model benchmarks to measure performance., • Improve observability and monitoring for deployed ML systems., • Develop, deploy, and maintain microservices that deliver ML capabilities to production systems., • Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines., • Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications., • Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems. JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS, • Bachelor’s or higher degree in Computer Science, Engineering, or related technical field., • 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations)., • Proficiency in Python with demonstrated experience implementing ML algorithms in production environments., • Experience designing and maintaining APIs for ML services., • Hands-on experience deploying and managing ML workflows in Kubernetes environments., • Strong communication skills with the ability to clearly articulate complex technical ideas., • Ability to work effectively in a collaborative, Agile engineering team. PREFERRED EXPERIENCE, • Knowledge of microservice architectures and distributed data systems., • Familiarity with aerospace or defense applications of ML systems.

Job DescriptionPlease Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking for a Senior Software Engineer to lead the design and development of user-facing applications that power CesiumAstro’s mission-critical platforms. This role will translate complex requirements into elegant, functional, and scalable UIs, working closely with backend, DevOps, and machine learning teams to deliver robust, high-performance systems. JOB DUTIES AND RESPONSIBILITIES • Build and maintain user-facing features for CesiumAstro’s web-based dashboards and applications., • Collaborate with backend, DevOps, and machine learning engineers to integrate complex data and workflows into intuitive frontends., • Partner with product and business stakeholders to translate user needs into functional UI solutions., • Contribute to reusable component libraries to ensure consistent aesthetics and behavior across applications., • Participate in QA, testing, and release cycles to ensure high-quality, reliable software., • Provide technical leadership in frontend development, mentoring team members and influencing design decisions. JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS, • Bachelor’s or higher degree in Computer Science, Engineering, or related technical field., • 6+ years of professional experience building web application frontends., • Proven track record of leading or independently delivering frontend features in production systems., • Strong proficiency in JavaScript and TypeScript., • Deep experience with modern frontend frameworks, particularly Vue.js, and tools such as Axios., • Excellent communication skills with the ability to articulate design and technical choices. PREFERRED EXPERIENCE, • Experience developing tools that visualize and communicate complex quantitative information., • Backend development experience, ideally with Python APIs., • Familiarity with DevOps and deploying web applications using infrastructure-as-code (e.g., Terraform)., • Experience integrating complex APIs (e.g., Elasticsearch).

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description In this role, you will manage Visa Generative AI Platform and Hub team based in Austin, TX where you will be responsible and accountable for end-to-end development and production support for Generative AI Platform - Core Services. The Work Itself The Director as a part of our Generative AI team, will play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications. This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team. This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment. Essential Functions • Responsible for end-to-end software engineering aspects of design, development, testing and deployment of platform to support global customer needs, product innovations and technical initiatives., • Responsible for technical capabilities of the product and the platform in terms of data design/architecture, UI/UX design/architecture, and API based backend systems., • Create and promote an agile development culture in his or her team focused on Engineering Excellence with high quality code development and deployment to production., • Facilitate knowledge transfer to the Engineering and Operations team during and after deployment., • Work with geographically distributed teams on technical challenges and process improvements., • Drive the strong automation culture with proven and open source-based technologies, frameworks, and best practices to reduce complexity and encourage operational excellence to the team., • Engage and communicate with stakeholders of business, product, technology, operations, and customer success teams., • Build and maintain a high performing team, hire and retain the right talents in the right roles., • Foster a culture of teamwork, collaboration, and mentoring., • Develop and empower direct reports to make appropriate technical decisions. Ensure resource availability to support deployment activities in various environments., • Effectively handle goal setting and team performance management., • Identify process improvements and/or ineffective use of project hours and resources., • Manage development resources across multiple technologies including Big Data technologies, Virtualization, Containerization, AIML and various open source and public cloud offerings., • Work collaboratively with senior management, architecture, product management and lead development staff to develop broadly acceptable solutions. Basic Qualifications: • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD, • Solid understanding of Large Language Models, Generative AI systems and applications., • Background in developing and deploying AIML platforms and applications in on premises and public cloud infrastructure., • Have prior hands-on experience using languages such as Python, Go, Java, Python, Rust. Strong on coding and code reviews., • Experience in leading teams that have built full stack applications from the ground-up using distributed high performance and scalable technologies such as K8s, Docker, Ray, Airflow, Hadoop, Spark, Kafka and so on., • Experience in leading teams that have built cloud platform solutions using AWS, Azure and GCP for high performance real time AIML applications, • Experience in DevSecOps world - Github/Git, CI/CD Pipelines, Jenkins, Ansible, Shell Scripts, Security Tools, Observability, Alerting, IaC etc. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $214,500.00 to $343,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionWho is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: You will be the main technical architect responsible for how our most strategic enterprise clients and partners implement and deploy our machine learning solutions. As one of our first group of Forward Deployed ML Engineers, you will establish our ML solutions for organizations concerned with the quality, security, performance, and cost of coding models. You will leverage your deep ML expertise and technical skills to ensure successful, production-grade implementations, ultimately driving rapid market adoption through proven on-site technical success and client satisfaction. What You Will Do Daily: • End-to-End Ownership: Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable., • Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences., • Influence Model Training & Tuning: Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air-gapping)., • Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector-specific data security standards and performance SLAs. Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others., • Building Relationships: Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments., • Serve as Internal Expert: Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success.The Experience You Will Need:, • Education: Bachelor's degree in Computer Science or a related field., • Experience: 2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience., • ML Engineering & Training Expertise: Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments., • Forward Deployed/Consulting Background: Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high-performance software, involving cloud or on-premise ML workloads., • Technical & MLOps Knowledge: Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI)., • Value-Driven Influence: Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance.Why You Will Love It Here:, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • Flexible comprehensive employee benefit package., • We encourage usage of our robust time-off allocations. You will receive 23 days of PTO per calendar year (on a pro-rated basis depending on your employment start date), with additional time provided for sickness, life events and holidays., • We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation., • Fully paid parking in the heart of downtown Austin, Texas., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.

Job DescriptionWho We AreArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We WantAs a Senior Machine Learning Engineer at Arrive, you will serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. This role also requires driving, contributing to, and maintaining the quality and functionality of crucial roadmap projects. These initiatives may vary from serving models scalably to building ML-powered services focused on maximizing profit. What You’ll Do • Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch., • Lead sprints, conduct rigorous code reviews, and set the "gold standard" for ML engineering practices across the organization., • Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth., • Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives, • Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring., • Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability., • Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers., • Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain., • Proactively propose solutions to gaps or risks in process, technology, software design and architecture, • Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices, • Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions., • In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.Qualifications, • Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience., • 5+ years of experience with ML ops, model serving and optimization. Experience with Chalk and Snowflake is a plus., • 5+ years of experience with Python, object oriented programming and building highly scalable backend services., • Expertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith., • 3+ years of experience with relational databases, • 2+ years in a lead or senior-level capacity, • 2+ years of experience designing maintainable and scalable systems, • Proven expertise in system design with a focus on distributed systems and event-driven architectures, • Experience developing cloud-native dockerized applications in Kubernetes, • Experience working with online experimentation and platforms like Statsig, • Understanding of both traditional machine learning and deep neural networks, • Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts., • Strong analytical, problem-solving, decision-making, and interpersonal skills., • Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery., • You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player., • You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services., • You find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner., • You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners., • You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace., • You take initiative to go beyond current responsibilities and actively seek new challenges., • You are passionate about building high impact ML and data driven products.The Perks of Working With Us, • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage., • Invest in your future with our matching 401(k) program., • Build relationships and find your home at Arrive through our Employee Resource Groups., • Enjoy office wide engagement activities, team events, happy hours and more!, • Leave the suit and tie at home; our dress code is casual., • Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown., • Park your car for free on site!, • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew., • Sweat it out with the team at our onsite gym., • Maximize your wellness with free counseling sessions through our Employee Assistance Program, • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days., • Receive 100% paid parental leave when you become a new parent., • Get paid to work with your friends through our Referral Program!

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Essential Functions We are seeking a Site Reliability Engineer to work in the Product Reliability Engineering function within Operations & Infrastructure. This individual will: • Perform day-to-day site reliability engineering functions including maintenance and incident resolution for Visa's applications, products, and services., • Perform ongoing/proactive analysis of applications to detect potential problems and actively engage & facilitate the discussion to find the best possible solution., • Work under direct supervision to ensure on-time delivery of projects, and production support plans for upgrades, enhancements, and deployments., • Work closely with service partners such as product development, engineering teams to seamlessly implement the innovative solutions to improve the reliability, scalability, and efficiency., • Assist in automating the routine tasks and processes to improve overall efficiency and reduce human errors., • Actively participate in troubleshooting activities and SWAT calls and drive investigation towards swift resolution., • Build comprehensive and robust documentation repositories that can facilitate knowledge transfer among PRE and Global Operations peers., • Assist the team with implementing GenAI and machine learning trends to continuously optimize the application reliability and efficiency., • Participate in on-call roster to support business including off-hours. Basic Qualifications • 1 or more years of work experience, • Working knowledge of one or more programming languages such as Python, Java, .NET, C#, PowerShell, Bash scripting., • Understanding of Linux/Unix systems, • Understanding of networking concepts, protocols, and architecture., • Proven track record of automating complex tasks and processes to improve efficiency and reliability, • Cloud technologies such as AWS, Azure, etc., • Database management systems such as MSSQL, MongoDB, etc., • Middleware technologies such as Tomcat, Apache, etc., • Containerization technologies such as Docker, Kubernetes, etc., • Infrastructure-as-code tools such as Terraform, Ansible, etc., • Monitoring tools such as Splunk or other Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for this position is $88,000 to $136,900 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Cybersecurity is at the beating heart of our culture. Our diligence and expertise is what makes us the undisputed leader in electronic payments. We’ve made it our priority to create a top-tier Cybersecurity team, poised to defend us against any potential cyber threats. We’re looking for those of you who are inherently driven and fascinated by the art and science of cybersecurity and more specifically, mergers and acquisitions with a specific focus on Cybersecurity integration. We’ll equip you with the very best tools and tech so that you can deliver top notch results. Continuous self-development underpins job fulfilment at Visa. As a Cybersecurity Engineer within the Cybersecurity M&A Team, you are uniquely placed to utilize and grow your engineering and defense skills across a myriad of security technologies. Your role will cover: Cyber Engineering: · Deploy and maintain security infrastructure: IDS, FIM, WAF, SASE, firewalls, web proxies, vulnerability scanners · Implement cloud security controls and automate security workflows · Develop SIEM correlation rules, dashboards, and alerts to detect cyber-attacks · Manage IAM solutions including Active Directory, SSO, and MFA · Apply expertise in network protocols and DDoS mitigation · Collaborate across cybersecurity and engineering teams to meet business requirements Cyber Defense and Incident Response: · Monitor and triage security alerts via SIEM, escalating and documenting incidents per operational procedures · Analyze sensor data (AV, IDS, Windows events, web proxy logs) to establish context and eliminate false positives · Contain and mitigate threats using approved incident response methodologies · Support time-critical investigations and collaborate with cross-functional teams · Operationalize threat intelligence from internal and external sources · Identify emerging threats, trends, and technologies impacting business security · Provide feedback to enhance detection capabilities and security posture · Respond to security incident reports via multiple communication channels This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related field, • Cybersecurity certifications (CISSP, CEH, OSCP, GSEC, GCIH, GCIA, GCED, GCFA, CySA+), • Enterprise-level incident response and security operations experience, • Hands-on cybersecurity incident handling with associated IR tools, • Proficiency with security tools: SIEM, AV, WAF, IDS, Netflow, packet analyzers, EDR, • Deep knowledge of malware families and network attack vectors, • Strong TCP/IP, networking, and packet analysis skills, • Operating systems, network services, and application security knowledge, • Web application vulnerabilities (XSS, CSRF, SQL injection, DoS, API attacks), • OWASP Top 10 and DDoS mitigation strategies, • Cloud security best practices and multi-tenant SaaS environments, • Regulatory framework knowledge (PCI DSS, ISO27001, ISAE3402), • DevSecOps, CI/CD, containerization, and automation experience, • Strong interest and experience in AI/ML for cybersecurity applications (professional, academic, or personal projects), • Programming and scripting proficiency for security automation, • Familiarity with machine learning algorithms, frameworks, and AI models in security contexts, • Experience with LLMs for threat analysis, automation, or security workflows (preferred), • Exceptional problem-solving abilities with tenacity and resilience, • Strong communication and presentation skills across diverse audiences, • Leadership and interpersonal skills to build credibility and influence peers Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $123,700.00 to $191,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Contract Type: Project-Based (Short-Term, Extendable) Role Overview: collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience. Key responsibilities * Design and write detailed evaluation suites for machine learning engineering tasks * Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation Ideal qualifications * 3+ years of experience in machine learning engineering or applied ML research * Hands-on experience with model development, experimentation, and evaluation * Background in ML research (industry lab or academic setting strongly preferred) * Strong ability to reason about ML system design choices and tradeoffs * Clear written communication and high attention to technical detail We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor., • This is a fully remote role that can be completed on your own schedule., • Projects can be extended, shortened, or concluded early depending on needs and performance., • Your work atwill not involve access to confidential or proprietary information from any employer, client, or institution., • Payments are weekly on Stripe or Wise based on services rendered.

Job DescriptionCompany Background Ownwell helps property owners reduce the costs of owning real estate. Our proprietary software automatically identifies property owners that are overpaying on real estate expenses. We then manage the end-to-end process of reducing bills through tax appeals, exemptions, and corrections. Over $40 billion is overpaid in property taxes every year, and inaccurate tax assessments disproportionately affect people of color, immigrants, as well as low-income communities. We're dedicated to making the costs of property ownership more transparent and equitable. We believe that regardless of status or level of real estate expertise, everyone should have access to the information, tools, and resources to manage their real estate with confidence. Ownwell is well-funded and venture-backed by some of the best investors in the world. Our customer base has grown by more than 100% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We've brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do • Customer Obsession, • Take Ownership, • Do The Right Thing, • Go Far Together, • Accelerate Innovation The Role: As a data engineer at Ownwell, you'll support core business functions by maintaining and expanding upon the highest fidelity real estate data in the industry. You'll build and manage Ownwell's data orchestration system that feeds our algorithms and downstream analytics. The scope of this role spans marketing, product, ops, and finance. If you love solving large scale data problems and designing data systems with some of the brightest engineers, then this is the role for you! Responsibilities: • Be a subject matter expert on data modeling, data pipelines, data quality and data warehousing., • Design, build and maintain data ETL/ELT pipelines to source and aggregate data for various data analysis and reporting needs., • Develop integrations with third party systems to source, qualify and ingest various datasets., • Continually improve the operations, monitoring and performance of the data warehouse., • Provide data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions., • Productionize analytics pipelines on AWS cloud platforms through well-structured, reproducible code and workflows., • Understand and implement required development guidelines, design standards and best practices always., • Understand in detail the business operational process both before and after the impact of any software changes., • Take responsibility through analysis, design, development, and code reviews to ensure due diligence is applied consistently to all software changes., • Work to identify risks and enhance control across the business. Requirements: • 3+ years of professional data engineering experience., • Experience building and productionizing analytics pipelines, machine learning models and/or ETL processes on cloud platforms like AWS., • Proficiency with Python and SQL (PostgreSQL, MySQL) programming languages. Optional experience with Scala., • Experience with the AWS Cloud Ecosystem (e.g., EC2, RDS, Redshift, Glue). Ownwell offerings • Entrepreneurial culture. Own your career; we are here to support you in the journey., • Access to First Round Network to build your community outside of Ownwell., • Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We offer the last week of the year to recharge and reset., • Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage., • Learning support through a $1,000 stipend per year to enable investing in your individual learning needs., • Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent.

Job DescriptionWho We AreArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We WantAs a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You’ll work alongside Data, Engineering, and IT specialists to define and deploy new data infrastructure and tooling as well as own the pipelines that ingest and transform data integral to our analytics, BI, and data science initiatives. This is a high impact role where you will directly influence how Arrive leverages its most valuable asset, data. What You’ll Do • Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and process data from a wide variety of sources., • Develop and maintain our data warehousing solutions (e.g. Snowflake), including maintenance of an advanced RBAC model to ensure data governance throughout all data tooling., • Ensure data quality and integrity by implementing data validation frameworks, monitoring systems, and anomaly detection protocols., • Architect and manage cloud-based data infrastructure., • Orchestrate batch machine learning pipelines. Work closely with data scientists to orchestrate code based on data science and product requirements, getting alignment on optimizations when necessary., • Collaborate with stakeholders, including data scientists, analysts, and product managers to understand data requirements and deliver actionable solutions., • Improve performance, efficiency and optimize cost of existing data systems and processes., • Work alongside Data and Engineering leadership to weigh tradeoffs in build vs buy decisions and tradeoffs in product roadmap vs technical initiatives., • Work with internal software engineering teams to define architectures and best practices for ingesting data into the data warehouse and making aggregated data and metrics from the data warehouse available to our production applications., • Interact with vendors to craft the adoption of new technology and infrastructure for the team., • Leverage and drive team adoption of AI coding agents, ensuring best practices are defined and kept up to date as AI tooling advances., • Take part in an on-call rotation. Work with Engineering leadership to define SLAs and alerting policies for our systems., • Lead and participate in incident management, ensuring clear and timely communication with stakeholders., • Be a leader, mentor, and subject matter expert for the team, stakeholders, and peers. Foster a collaborative environment that drives solutions forward at a larger scope.Qualifications, • Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience., • 5+ years experience in data engineering., • Expert proficiency in SQL and strong programming skills in Python., • Proven experience building and orchestrating data pipelines using dbt and Airflow, • Hands-on experience developing data solutions in a major cloud environment, with a strong preference for Microsoft Azure., • Solid understanding of BI-tooling integrations with a cloud data warehouse, with a strong preference for PowerBI, • Solid understanding of event-driven architecture and the use of messaging systems like Kafka to enable real-time data flow., • Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift., • Familiarity with CI/CD, microservice architecture, domain driven design, data contracts, • Solid understanding with best practices around data security/privacy, role-based access control, • Experience with machine learning concepts, frameworks, and infrastructureThe Perks of Working With Us, • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage., • Invest in your future with our matching 401(k) program., • Build relationships and find your home at Arrive through our Employee Resource Groups., • Enjoy office wide engagement activities, team events, happy hours and more!, • Leave the suit and tie at home; our dress code is casual., • Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown., • Park your car for free on site!, • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew., • Sweat it out with the team at our onsite gym., • Maximize your wellness with free counseling sessions through our Employee Assistance Program, • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days., • Receive 100% paid parental leave when you become a new parent., • Get paid to work with your friends through our Referral Program!

Job DescriptionShowcase transformative AI. Shape smarter customer experiences. Have you ever wanted to help enterprises understand what cutting-edge AI can truly unlock for their customer experience? As our Senior Solution Engineer, you'll partner closely with prospects to uncover their needs, frame the right solution, and demonstrate the unique value Coveo brings to the world of Service & Knowledge. You'll join a passionate Sales team that thrives on collaboration, creativity, and consultative expertise. If you love turning complex technology into crisp, compelling value, and winning alongside people who care, this role will feel like home. As one of our Senior Solution Engineers, you will: • Guide prospective customers in understanding, comparing, and evaluating Coveo's Service & Knowledge solutions to support confident buying decisions., • Conduct deep technical discovery to assess fit, capture requirements, uncover risks, and respond to technical and security-related questions throughout the evaluation., • Build and deliver tailored demos that highlight relevant capabilities, differentiators, and clear business value in competitive environments., • Lead technical components of Proofs of Concept and serve as the technical owner for RFIs/RFPs, collaborating cross-functionally to position Coveo for success., • Act as a trusted advisor by providing strategic guidance on AI-powered digital transformation and aligning our capabilities with long-term customer outcomes., • Build durable, trust-based relationships with stakeholders while representing Coveo at select events, conferences, and industry engagements.Here is what will qualify you for the role:, • 6+ years of experience as a Presales professional (Solution Engineer, Sales Engineer, Solution Consultant) with strong demo, POC, and competitive positioning practices., • Experience supporting CX, customer service, support, or knowledge management use cases; familiarity with platforms like Salesforce Service or Data Cloud, SAP CX, or Genesys is an asset., • Working knowledge of AI, machine learning, and search-related models (query suggestions, generative answering, etc.)., • Programming familiarity (Python, JavaScript) and experience working with APIs (e.g., Postman)., • Ability to navigate medium and large enterprises with ease — stakeholders, processes, and decision structures., • A consultative mindset backed by excellent storytelling and technical communication skills., • Experience representing the voice of the customer to product teams. Send us your application, we want to hear from you! Join the Coveolife! Coveo is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability status, marital status, gender identity, or veteran status.

Job DescriptionREMOTE Sr. Design Verification Engineer - CPU Job Title: REMOTE Sr. Design Verification Engineer - CPU Job Location: REMOTE - preference for Portland, OR, Austin, TX, or Vancouver (Canada) Compensation: $150K - $250K base Depending on experience plus bonus Requirements: Design Verification, CPU, RISC-V, UVM, System Verilog, Multi-Core Coherence Our company is a Founding Premier member of RISC-V International and a leading embedded processor intellectual property supplier in the world. We devote ourselves to developing high-performance/low-power 32/64 bit processors and their associated SoC platforms to serve the rapidly growing embedded system applications worldwide. With over 10 billion cumulative shipments of SoCs embedded with our CPU IP, our products cover audio, Bluetooth, gaming, GPS, machine learning, MCU and more. Our design innovation enables us to quickly adapt to the rapidly evolving demands of RISC-V customers.Top Reasons to Work with Us1) Competitive Compensation ($150K - $250K base plus bonus Depending on Experience) 2) Comprehensive Benefits package! 3) The chance to join a well-established supplier of embedded CPU cores! 4) Flexible remote working arrangements!What You Will Be DoingYou will be a part of the VLSI team, which is part of our worldwide CPU development team. We are a rapidly growing organization, and you will work with a team of experienced architects, designers, and DV engineers to build the next-generation of RISC-V CPUs. As a senior member of this team, you will help guide verification methodologies, analyze problems and devise best QoR solutions. You will participate in engineering discussions and be expected to drive analysis and propose directions. Applicants for this role should be diligent, detail-oriented, and have a penchant for creating high-quality results efficiently. You should also admire technical advances, CPU architecture and have a keen interest in tackling present-day verification problems. Daily activities include: • Communication with peers to discuss technical details, • Analyze CPU architecture and microarchitecture implementations, and devising best methods to verify them, • Identify and resolve engineering issues ranging from functional verification, code coverage, Formal proofs, verification reports, • Hands-on verification work including verification regression management, debugging and bug-reports, • Provide technical guidance to junior members of the team, • Technical documentationWhat You Need for this PositionMust have a Bachelor's (Master's or Ph.D. preferred) in Computer Science, Electrical Engineering, Computer Engineering, or similar with 5-10+ years of experience:, • Design Verification using UVM, Verilog, System Verilog, • CPU architecture (multi-core coherence, FPU, DSP, interrupt, Vector, Security, Reset and CDC, Debug), • Experience coding in assembly languages, • Experience in UVM, formal, coverage grading, coverage analysis, bug tracking, • Strong mastery using Unix and scripting languages such as make, shell, perl or python, • RISC-V experience a plusBenefits- Vacation/PTO, • Medical, • Dental, • Vision, • 401k, • Bonus All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are currently considered one of the top mobile ad-tech companies in the world, powering campaigns for Apps, Games and Brands across Mobile and CTV using advanced machine learning and optimized creative strategies to deliver results To help us continue our growth across the US region, we are looking for a tech-savvy and client-facing individual to join our commercial team as a Sales Engineer. You will be the technical expert, bridging the gap between our innovative ad-tech solutions and the needs of our clients. Your mission: As a Sales Engineer, you will be a key player in our growth, partnering with the Sales team to drive successful deals by showcasing your deep product expertise. You will act as a trusted technical advisor to our clients, guiding them through complex conversations on attribution, measurement, and performance, ensuring they get the most out of the Smadex platform. Candidates must be legally authorised to work in the US (no visa sponsorship provided). Tasks and responsibilities: • Act as the primary technical point of contact for our advertisers and partners, proactively engaging with them to troubleshoot and resolve implementation issues through various channels., • Lead the technical investigation and resolution of complex issues by independently debugging problems through the analysis of server logs and other internal data sources., • Drive the growth of the Smadex platform by leading initiatives to expand our tech stack's capabilities and collaborating closely with Product and Engineering to translate client needs into our product roadmap., • Empower both clients and internal teams by developing and delivering technical tutorials, sample code, and participating in the creation of internal support tools and applications., • BS in Computer Science or related technical field, • 3+ years of experience in a technical role within the AdTech ecosystem (DSP, SSP, agency, or ad serving platform)., • Excellent analytical skills with demonstrated experience in turning data into actionable insights., • Experience with scripting languages such as Python or JavaScript for prototyping, automation, or integration with analytics and tracking tools., • Hands-on experience with SQL for data analysis and troubleshooting., • Experience in Cloud development (e.g., AWS, GCP,..), • Proactive approach to identifying opportunities for improvement and taking initiative to implement solutions in a fast-paced environment., • Creative problem-solving skills and a knack for asking the right questions, then answering them with sound data and analysis., • Superior communication skills with a demonstrated ability to navigate a complex organization and generate buy-in for ideas and plans., • Be part of a leading, fast-growing, innovative company shaping the future of mobile advertising., • Possibility of traveling to the Barcelona HQ for collaboration and team-building activities after your first year., • Great compensation package tailored to the U.S. market., • Medical, dental, and vision benefits plans., • Eligibility to participate in the Company 401(k) plan., • Exposure to leading global app publishers and media partners in the digital advertising industry. ktgRYxFAQd

Job DescriptionModern Intelligence is building the foundational AI for defense. Over the next decade, the US military and our allies will 10x the number of sensors we field to see the battlefield but cannot 10x the number of service members manually watching sensor feeds – the way sensor data is processed today. At Modern you will be working alongsideengineers, researchers, and businessmen, people who have backgrounds in the Army, the Navy, Biotech, Google, Raytheon, Anduril, the NSA, and more. We have raised more than $12M from investors such as Bedrock, Vine, Contrary, Air Street, Caffeinated, Champion Hill, Swell, Myelin and others. One of our products, Cutlass, is an automated targeting AI that detects, remembers, and shares targets in real time by watching any sensor on any network – Delivering modular, insightful knowledge of where adversaries are on any drone, ship, vehicle, satellite, or command center. Our AI research helps Cutlass learn targets with little data, little compute, and the most intuitive, humane knowledge. Cutlass has been tested in multiple DOD exercises and is currently being used in live DOD missions. We are looking for a Senior Software Engineer to lead the Cutlass software team. We are looking for someone who is an outstanding and productive coder, butalso has strong design and leadership skills. They should be able to take high level requirements from their leaders, refine them, put together a design document, get their document appropriately reviewed, plan, and then lead the execution of those plans with minimal oversight from theirleaders.They should be able to provide an effective interface between their team, other teams, and their leaders both on the technical side as well as on the business side. As the Cutlass Software Lead you will work alongside our Director of Engineering, the Machine Learning Lead, and the Data Science Lead to set the direction for Cutlass as a whole. You will have tremendous influence over our tech stack and architecture, but also the future engineering culture at Modern, as well as the future of Modern as a company. We are gathering the most ambitious AI researchers, software engineers, and mission leaders in defense because we believe defense is the future of defense, and defense is the future of AI. This role requires someone who is capable of getting a DoD security clearance; someone who can work onsite to help establish the engineering culture at the company; as well as someone who is able to travel both domestically and internationally multiple times a quarter. Requirements • Has led a team of 3+ junior engineers on projects that have spanned multiple quarters., • Experience coaching/mentoring junior engineers on topics such as code quality, version control best practices, testing, and other general software engineering skills (as well as be an expert on these topics themselves), • Experience writing and reviewing design documents, • Strong organizational, planning, and communication skills., • Must be capable of getting a security clearance Preferred Qualifications, • Experience with Python, • Experience with Docker or other OCI software, • Experience with time sensitive software (this might be expressed as working on embedded devices, safety critical systems, operating systems, media software, etc), • Experience interfacing Python with other languages (language bindings, SWIG, Boost Python, etc), • Experience with a compiled programming language - preferably either C, C++, or RustNice to Have, • Experience with machine learning, • Experience with ffmpeg or video transcoding, • Experience with optics or applied math, • Experience with Nuitka or other Python compilation, • Experience with Multiprocess Python, • Experience with TypeScript, • Experience with Node.js, • Experience with LLVM

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Staff Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. Essential Functions: • Design, develop and implement features, enhancements, Webservices, Microservices, tools and utilities in a client facing environment on a platform that is highly scalable and resilient on the N-tier architecture in Agile development life cycle., • Acquire comprehensive knowledge of the Visa Dispute business domain, contribute to requirement analysis, evaluate various coding alternatives, and participate in scoping and sizing activities., • Perform third and fourth level support in production and client certification environment with root cause analysis including identifying, developing, and providing solutions for production issues., • Analyze and identify the root cause of performance issues and propose changes to designs and new enhancements for resiliency and scalability., • Participate in technological proof-of-concepts, embrace new technologies and frameworks and in code review processes to ensure quality and consistency, • Develop scripts, No SQL and SQL for detailed analysis and solutions in data processing and AI/ML models creation and tuning., • Participate in production implementations and on call, providing all necessary support to ensure successful resolution of issues., • Analyze and identify the drift in Feature, Model and Data of the ML Models with proposals for retuning or fine tuning., • Use various tools and leverage production statistics to improve the system and process improvements for VROL program, working with Architecture and SME groups., • Produce and maintain technical documentation to support development and operational initiatives., • Collaborate with Product Owners, Architects, SME's, DevOps, Security, Business, Performance, Automation, and Operations teams to ensure alignment across initiatives., • Strive for excellence and innovation in service delivery, seize opportunities and consistently think and act ahead of the curve to drive successHelp drive continuous improvement around processes and provide input to new initiatives.Qualifications Basic Qualifications: • 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications -7-10 years of work experience and a Bachelor’s degree or 6 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 years of experience with a PhD in Computer Science or similar field in the financial services industry. • Experience in software engineering and designs for highly scalable and always-on distributed systems with expertise in developing and supporting complex solutions for business enterprise applications including batch and data processing with security., • Demonstrated experience in delivering complex projects from concept to deployment., • Knowledge of card processing/transaction processing and payment domain is a plus., • Proven expertise developing software within the Secure Software Development Life Cycle (SSDLC) mode, • Proven problem-solving skills and an ability to respond resourcefully to new demands, priorities, and challenges, • Proficiency in Java/J2EE, Spring framework,Spring boot, Struts, Angular, Web services with REST/SOAP. Python would be a plus., • Experience with NoSQL and SQL, SQL development is essential. Familiarity with DB2, Cassandra and MySQL is preferred., • Demonstrated proficiency in Microservices and cloud technologies, such as Docker, Kubernetes or OpenShift, and S3., • An understanding of end-end system and strong debugging and root cause analysis skills to help support production systems., • Technical expertise in using Industry Standard Business Rules Management Systems, such as Java Rules or Drools., • Experience with messaging systems like Kafka, Message Broker., • Experience with build tools, such as Gradle, and version control systems, such as Git., • Expertise in data processing using java or python, spring boot and familiar with Spark, and ETL., • Proficiency in leveraging generative AI to enhance development processes and resource efficiency, and skills in AI/ML highly desirable., • Experience with automation testing tools like Selenium/ TestNG/ Cucumber, • Familiarity with continuous integration tools, like Jenkins, and infrastructure automation platforms, such as Ansible or Chef., • A strong understanding of Linux/UNIX and shell scripting., • Experience with scheduling tools like Control M, CA-ESP or Autosys desirable., • Work experience in Agile methodologies, like Scrum. Familiarity with the SAFe framework is a plus. The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in Java/J2EE development language and strong knowledge of Python Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn cloud, data and AI/ML technologies such as Kubernetes, Docker, Data Science, Machine Learning etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $131,600 to $210,300 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionPlease Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking for a Senior Software Engineer II to design and build orchestration systems that enable CesiumAstro’s advanced machine learning pipelines. In this role, you will collaborate with machine learning, product, and frontend teams to create reliable, scalable, and maintainable backend services that support mission-critical aerospace and defense applications. JOB DUTIES AND RESPONSIBILITIES • Design, develop, and maintain orchestration pipelines supporting machine learning workflows., • Improve observability and monitoring of ML pipelines to ensure health and reliability., • Build tooling to validate and verify pipeline outputs., • Contribute to the next generation of distributed orchestration systems., • Manage project priorities, deadlines, and deliverables in coordination with product stakeholders., • Provide technical guidance to teammates on backend best practices and system reliability., • Document workflows, architecture, and operational procedures. JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS, • Bachelor’s or higher degree in Computer Science, Engineering, or related technical field., • 6+ years of professional experience developing backend systems in small to medium-sized organizations (additional years expected for larger organizations)., • Strong proficiency in Python with hands-on experience developing backend systems., • Experience with databases such as PostgreSQL and Redis., • Familiarity with distributed systems design and implementation., • Strong communication skills with the ability to work in a collaborative engineering environment. PREFERRED EXPERIENCE, • Experience supporting machine learning or ETL pipelines., • Familiarity with containerized/cloud-native environments (Docker, Kubernetes)., • Experience with automated testing frameworks for backend or ML pipelines., • Exposure to aerospace, defense, or mission-critical environments.

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description We are seeking a talented and motivated Software Engineer to join our VAS Innovation team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our Value-Added Services (VAS) platform. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential functions: • Innovative Development: Engage in the design, development, and implementation of innovative software solutions, including generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies., • Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions., • Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth., • Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring that the VAS platform delivers exceptional value and innovation. Engage with client feedback to refine and improve our offerings., • API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Value-Added Services applications, platforms, and solutions., • Technology Modernization: Participate in the advancement of our modernization roadmap by adopting best-in-class technology solutions for our core platform, expanding our market reach and client base., • Process Improvement: Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market., • Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects., • Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement. Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 4 or more years of relevant work experience with a bachelor’s degree or 3 years with an Advanced Degree (Masters/PhD in Engineering/Computer Science). Self-driven and willing to work across technologies/languages. Expert-level skills in Java and Python with skills in C++ and C# is a bonus. Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Understanding of model compression techniques and their trade-offs Awareness of transfer learning concepts and their applications Familiarity with common robustness issues in AI systems Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps. Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS. Ability to work with large datasets and perform exploratory data analysis Experience with data preprocessing, feature engineering, and model evaluation techniques Experience in configuring build and deployment systems Docker, Jenkins, and Kubernetes. Expertise in handling multi-threading, concurrency, and error-handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects. Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment Familiarity with deep learning basics, including neural network architectures and training procedures Ability to design and implement AI components and integrate them into larger systems Working knowledge using distributed in-memory computing technologies like Redis. Understanding enterprise security, certificate management, etc. Hands-on experience with Jenkins and container deployment architecture. Experience using OAuth2.0, SSO, and authentication methods/protocols. Expertise in application security, SSDLC, and knowledge of cryptography fundamentals. Experience in the payments tech industry is a plus. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $131,600.00 to $210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionWho We AreArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We WantAs a Machine Learning Platform Engineer at Arrive Logistics, you will play a key role in maintaining and expanding Arrive's ML platform and product capabilities. This role requires driving and contributing to crucial roadmap projects while ensuring quality, maintainability and functionality. These initiatives may vary from serving models scalably to building ML-powered products focused on maximizing profit.What You’ll Do • Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch., • Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives, • Own systems throughout the software development lifecycle, from design to development, deployment and monitoring., • Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability., • Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers., • Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain., • Proactively propose solutions to gaps in process, technology, software design and architecture, • Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices, • Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.Qualifications, • Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience., • 3+ years of experience with ML ops (features stores, model registries and auto ML), model serving and optimization., • 3+ years of experience with Python and building highly scalable backend services, • Experience with frameworks like Sklearn, Pandas and Numpy. Plus if Huggingface, Tensorflow, Pytorch experience., • 2+ years of experience with relational databases, • 2+ years of experience designing maintainable and scalable systems, • System design experience with a focus on loosely coupled, distributed systems, microservices and event-driven architectures, • Experience developing cloud-native dockerized applications in Kubernetes, • Experience working with online experimentation and platforms like Statsig, • Understanding of both traditional machine learning and deep neural networks, • Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts., • Strong analytical, problem-solving, decision-making, and interpersonal skills., • Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery, • You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player., • You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services., • You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace., • You take initiative to go beyond current responsibilities and actively seek new challenges., • You are passionate about building high impact ML and data driven products.The Perks of Working With Us, • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage., • Invest in your future with our matching 401(k) program., • Build relationships and find your home at Arrive through our Employee Resource Groups., • Enjoy office wide engagement activities, team events, happy hours and more!, • Leave the suit and tie at home; our dress code is casual., • Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown., • Park your car for free on site!, • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew., • Sweat it out with the team at our onsite gym., • Maximize your wellness with free counseling sessions through our Employee Assistance Program, • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days., • Receive 100% paid parental leave when you become a new parent., • Get paid to work with your friends through our Referral Program!

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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, I

The successful candidate must be self-motivated, creative, and comfortable learning and driving exciting new technologies. Ambiq is seeking an experienced Edge AI Applied ML Engineer with deep experience in audio and computer vision. Strong ML engineering fundamentals: data pipelines, augmentation,

Experienced Machine Learning Engineer with 8-10+ years of hands-on expertise deploying and scaling machine learning models in production environments. About the job Machine Learning Engineer (MLOps). Job Role: Machine Learning Engineer (MLOps).