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Consumer Credit Risk Sr. Associate Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Consumer Credit Risk Sr. Associate is responsible for risk analysis and independent oversight of credit quality of assigned portfolios. They are responsible for all aspects of credit quality including compliance with requirements of regulators and internal control and will recommend opportunities and proposed resolutions for improved efficiency, effectiveness, and/or risk reduction for the department. * Ensures adherence to the policies and procedures established by the company. Manages policy, standard definition and monitoring of policy, standard implementation, ensuring harmonization and consistency of risk policies. * Monitors and manages risk/exposure and compliance with the company's policies. Identifies, manages and reports on the company's risk areas. * Evaluates the adequacy and effectiveness of data, document retention, and monitors systems. * Oversees and ensures consistent quality control, accuracy, and compliance with internal policies and regulatory requirements for reporting processes. * Ensures and executes ongoing maintenance of controls, mitigation plans, testing, and/o credit risk assessments. * Partners with the accountable business owner for effective 1st and 2nd line of defense Risk Management and Controls. * Provides oversights on risk-management content/processes What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Education: Bachelor's Degree or equivalent work experience. * Work Experience: 9+ years in Credit RIsk in the Banking or Financial Services Industry. * Advanced Proficiency with SQL, Python and Power BI required. * Advanced knowledge of the operational, accounting, credit, regulatory, market and technological risks within Financial Industry. * Demonstrated knowledge of credit policies and procedures, regulations and applicable law(s). * Demonstrated credit analysis skills for understanding/tracking counter party performance and market risk & modeling skills for evaluating trade positions and the related counter party risk exposures. * Demonstrated track record interacting with the regulators, external and internal audit. * Superior project management skills. * Excellent written and verbal communication. * Ability to interact with all levels of management, work independently and in a team environment. Certifications: * No Certifications listed for this job. It Would Be Nice For You To Have: * Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. * Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $101,250.00 USD Maximum: $185,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: Boston, MA, Boston Other Locations: Massachusetts-Boston,Texas-Austin,New Jersey-Trenton,New York-Albany,Connecticut-Hartford,Florida-Tallahassee,Pennsylvania-Harrisburg,Rhode Island-Providence Organization: Santander Holdings USA, Inc.

AML Modeling Specialist Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make As an AML Modeling Specialist, you play a key role in safeguarding the bank’s integrity and ensuring compliance with regulatory expectations. You design, enhance, and maintain analytical models that identify suspicious activity, strengthen the bank’s financial crime detection framework, and drive continuous improvement in AML monitoring capabilities. Your insights directly support the bank’s mission to protect customers and uphold trust across the global financial system. * Develop and implement AML detection and segmentation models using statistical and machine learning techniques. * Partner with compliance, risk, and data science teams to ensure model outputs align with business objectives and regulatory standards. * Analyze transaction data to identify emerging money laundering patterns and typologies. * Perform model validation, back-testing, and performance monitoring to ensure accuracy and effectiveness. * Prepare model documentation, regulatory submissions, and audit materials. * Support ongoing model governance, tuning, and optimization efforts to reduce false positives and improve efficiency. What You Bring To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience: Statistics, Mathematics, Economics or equivalent quantitative discipline. Required Master's Degree Statistics, Mathematics, Economics or equivalent quantitative discipline. Preferred * 3+ Years Risk Management, Risk Modeling, AML Req * Deep understanding of AML processes, transaction monitoring systems, and financial crime risk. * Proficiency in data analysis, model development, and statistical tools (e.g., Python, SAS, SQL, or R). * Collaborative approach and ability to communicate technical findings to non-technical stakeholders. * Commitment to operational excellence, model integrity, and regulatory compliance. * Strong analytical mindset with the ability to translate complex data into actionable insights. Certifications: * No Certifications listed for this job. It Would Be Nice For You To Have: * Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. * Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $67,500.00 USD Maximum: $140,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: Miami, FL, Brickell Plaza-Corp Other Locations: Florida-Miami,Texas-Austin,New Jersey-Trenton,New York-Albany,Connecticut-Hartford,Massachusetts-Boston,Pennsylvania-Harrisburg,Rhode Island-Providence Organization: Santander Holdings USA, Inc.

This is a grant funded position with an end date 1 year from the start date. The position is renewable based upon availability of funding, work performance, and progress toward goals with the option to continue until August 31, 2029, if renewed. Note: This candidate must be authorized to work in the United Stated without sponsorship. The Kowalski Lab at the University of Texas at Austin invites applications for a Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection. The lab leads multi-institutional projects combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients with rare, resistant, or genomically un-targetable cancers. * Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. * Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction. * Lead and co-author high-impact publications and grant proposals. * Collaborate with clinicians, bioinformaticians, and data scientists across UT Austin, and other partners. * Mentor graduate and undergraduate research assistants and contribute to lab leadership. * Develop and deploy innovative AI models for treatment discovery and patient-specific decision support. * Gain experience in translational research across clinical, academic, and technology domains. * Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects. PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in Python and R for use in data science and modeling. Excellent writing and communication skills; demonstrated publication record. Preferred Qualifications Knowledge of cancer biology, clinical oncology workflows, or multi-omics data. $62,232+ depending on NIH level * Standard office equipment * Repetitive use of a keyboard * Resume/CV * 3 work references with their contact information; at least one reference should be from a supervisor * Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities • integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing, • As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications., • Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements., • Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints., • Perform lint and clock domain crossing quality checks on the design., • Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. You will thrive in this role if you: • Are familiar with scripting in Python, • Are proficient with assertions, • Have good debug skills to analyze RTL test failures, • Have a "Learn and Be Curious" mindset About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS- BS degree in electrical engineering or equivalent • 3+ years in RTL design for SOC, • 3+ years of VLSI engineering, • Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints, • Familiarity with data path design, interconnects, AXI protocol, • Good analytical, problem solving, and communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,800/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Come work for a stable organization with a solid plan for growth. Well known Life client has a great opportunity for a talented Actuary who will lead rate-setting and manage pricing for current MYGA/FIA products as well as ensure profitable growth of the company’s annuity book through collaboration with corporate functions. The ideal candidate is an FSA or near-FSA with 7+ years of actuarial experience in life and annuity insurance. Must have a strong understanding of annuity products, the ability to solve complex & ambiguous problems, and proficiency in MG ALFA and Python. Individual annuity pricing experience is a plus. (#57884) Compensation: • Salary range of 170-190K Locations:, • Austin, TX, • Remote

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > DSP Architecture and Design General Summary: Job DescriptionAbout Us: Qualcomm is a global leader in wireless technology and semiconductor solutions. Our Neural Signal Processor is at the forefront of cutting-edge AI research, and we’re looking for a talented engineer to join our team.Role Overview: As a C++ Development Engineer, you will play a crucial role in developing the machine learning compiler, runtime firmware, and low-level RTOS stack for Qualcomm’s best-in-class accelerator. You’ll work closely with a geographically distributed team to optimize performance, enhance efficiency, and ensure seamless integration with our hardware.Responsibilities: • Optimize code for performance, memory usage, and power efficiency, • Port open source operating systems, such as Zephyr, to the Hexagon architecture, to enable efficient execution of the machine learning firmware, • Debug and troubleshoot issues related to the runtime firmware, • Contribute to the development of a modern C++ project which uses extensive template metaprogramming techniques, • Work independently and in a self-directed manner, while also collaborating effectively with remote team membersQualifications:, • Master’s degree with 15 or more years of experience, or a PhD in Computer Science, Electrical Engineering, or a related field, • Proficiency in modern C++ (C++17 or later) and Python, • Understanding of low-level embedded software, such as the Zephyr RTOS, • Experience with machine learning frameworks and compiler development is a plus, • Excellent problem-solving skills and ability to work in a fast-paced environment, • Strong communication skills for collaborating with remote team membersWhy Join Us:, • Be part of a dynamic team working on cutting-edge AI technology, • Opportunity to contribute to the future of a key growth area for one of the world's largest semiconductor companies, • Competitive compensation and benefits package, • Flexible hybrid work arrangementsIf you’re passionate about machine learning, Python, C++, and pushing the boundaries of what’s possible, we’d love to hear from you! Apply now and let’s shape the future together. Minimum Qualifications: • 2+ years of experience with high-performance microprocessor design. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail ___ or call Qualcomm's toll-free number found ___. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $211,200.00 - $316,800.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this ___. If you would like more information about this role, please contact ___.

TLDR • Build audio understanding models (STT, STS) from scratch for voice-controlled robotic systems, • Own the entire audio ML pipeline: data collection, training infrastructure, deployment, and optimization, • Deep audio/signal processing expertise required - this isn't general ML, • Travel for field testing in real-world conditions, • Join an exciting startup backed by globally recognised investors at the bleeding edge of physical AI About ___ The way humans use robots is broken. Modern warfare demands more robots than we have operators. Every drone, ground vehicle, and maritime system requires dedicated training, manual control, and constant human oversight. One operator per robot. One pilot per mission. This operator bottleneck is the constraint on military capability today. Breaker's AI agent, Avalon, breaks this constraint. Instead of piloting individual robots, operators command entire teams of autonomous systems across air, ground, and maritime domains, all through natural conversation. A single operator can now coordinate multiple drones, ground vehicles, and other platforms simultaneously. Instead of flying search patterns on three different screens, you say "survey this area and flag anything unusual" - and a team of robots figures out how to divide the task, coordinate their movements, and report back what matters. We're not just making robots easier to control. We're fundamentally changing the operator-to-robot ratio, turning small teams into force multipliers. Our software deploys models directly onboard each robot, enabling real-time, intent-driven control even in contested environments with limited bandwidth. We're solving problems most AI companies never touch: sub-second inference on edge hardware with strict latency, power, and connectivity constraints. We're backed by some of the best global investors and are growing our team across Austin, Texas, and Sydney, Australia. We're a small team of experienced engineers, moving fast on technology that will define how humans and machines work together for decades to come. Join us if you want to help create the robots we were promised 🤖 About the Role Voice is the primary human machine interface our customers use with autonomous systems - and you'll own that capability from the ground up. You'll build speech recognition from scratch: building training pipelines, curating datasets, and shipping models that work reliably in real-world conditions where radio communication, wind noise, and varying audio quality are the norm, not the exception. This is a rare opportunity to build foundational IP rather than integrate off-the-shelf solutions. You'll establish the entire ML infrastructure for the speech stack, from data collection strategies to model deployment on edge hardware. The work spans the full spectrum: running field tests to capture training data, experimenting with state-of-the-art architectures, and optimizing models to run efficiently on compute-constrained robotic platforms. The technical challenge is unusually deep for an ML role. You're not just training models - you're making architectural decisions about how audio signals are processed, understanding the tradeoffs between different model families for varying audio quality scenarios, and building the instrumentation to track performance improvements over time. This is the kind of work that could result in patents and define how voice-controlled robotics systems perform for years to come. Key Responsibilities • Evaluate and implement state-of-the-art architectures, making informed decisions about model selection based on audio quality constraints and deployment requirements, • Own metrics such as word error rate (WER), establishing baselines and demonstrating measurable improvements over time, • Build and maintain infrastructure for model training, including experiment tracking, performance monitoring, and version control, • Design data collection campaigns and field testing protocols to capture representative training data across varying environmental conditions, • Establish audio quality requirements and provide input on hardware selection for optimal model performanceDeploy and optimize models for NVIDIA Jetson platforms, ensuring real-time performance within compute and latency constraints, • Conduct hands-on field testing in varied environments (outdoor, windy conditions, different communication systems) to validate model performance, • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Audio Engineering, or a related field, • Proven track record designing, training, and shipping audio ML models end-to-end (e.g. speech-to-text, speech-to-speech), including dataset creation, training pipelines, evaluation, and deployment in real-world applications, • Deep understanding of how audio is represented and modeled for ML, including audio DSP and frequency-domain processing (e.g. STFT, mel/spectrogram transforms) and how these choices affect model performance, • Expert-level Python for ML development, including building training loops, data/input pipelines, and experiment tracking, • Hands-on experience deploying, quantizing, and optimizing models for production environments, • Background in audio product companies or audio-focused ML applications (microphone manufacturers, audio processing products, speech recognition systems), • Personal passion for audio (e.g., sound engineering background, audio enthusiast with technical depth), • Experience with data annotation workflows and managing labeling processes, • Experience with edge deployment or resource-constrained environments, • Familiarity with ARM deployment or NVIDIA Jetson platforms, • Exposure to multimodal models or bridging speech and language model systems, • Data pipeline engineering experience for managing large-scale training datasets, • Proficiency with ML infrastructure tools (e.g., Weights & Biases, ClearML, or similar) You'll work with people who've done this before. Our team has shipped production robotics systems, scaled infrastructure, and solved the kind of hard integration problems that only come up when software meets the physical world. You won't be the only person in the room who's debugged a sensor fusion pipeline or optimized inference on a Jetson. You'll solve problems that don't exist anywhere else. Most companies are building incremental improvements on established technology. We're defining new categories - which means the work is harder, more ambiguous, and infinitely more interesting. You'll work hard, together. We're in the office every day, grinding on hard problems alongside great people. We've built a workspace where the best work happens - access to hardware, quick decisions, real collaboration. We're flexible when life requires it, but we're looking for people who want to show up, get stuck in, and build something significant with a team they respect. We're going global. Backed by globally recognised investors, we're growing teams across Sydney, Australia and Austin, Texas. If you want exposure to international expansion and the opportunity to help build across regions, that path exists here. You'll own what you build. Generous equity packages mean when Breaker wins, you win. Location. Capital Factory, Austin, Texas If you're excited about the opportunity to be the face of breakthrough autonomous systems technology and help define how the defense industry adopts AI-powered robotics, we'd love to hear from you. Please note that we will begin interviewing for this role in January 2026

Mercor is hiring experienced Python Engineers** to support a variety of high-impact research collaborations with leading AI labs.Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains.This is a unique

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. What You’ll Do As a Staff Machine Learning Engineer, you’ll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com’s products and business strategy. You’ll be building intelligent systems that optimize pricing, forecasting, and recommendation engines—improving our understanding of our entire customer portfolio and driving revenue growth. • Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization., • Develop scalable, production-ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations., • Experiment and innovate—leverage AI to enhance customer insights and improve home search and listing experiences., • Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization., • Collaborate with cross-functional teams, including product managers, analysts, data engineers, and leadership, to identify high-impact opportunities and translate them into AI-driven solutions., • Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX. Top Reasons to Apply • Innovative Impact: Lead the full ML lifecycle to design and deploy cutting-edge models that directly drive revenue and improve customer experiences., • Technical Excellence: Tackle complex, industry-leading challenges using modern cloud platforms and ML frameworks while growing your expertise., • Empowering Culture: Mentor talented engineers in an environment where people are our foundation and you’re trusted to own and innovate. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You’ll Bring: • Expertise in Applied ML – PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus., • Production ML Experience – Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar., • Extensive Technical Skills – Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus., • Strong Creative Thinking & Problem-Solving Skills – Passion for tackling complex business challenges, improving customer experience, and driving measurable impact., • Excellent Communication – Ability to articulate ML concepts to both technical and non-technical stakeholders. Why Join Us? • Real-World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com., • Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate., • Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team., • Culture of Innovation: We foster an agile, experimentation-driven culture that rewards curiosity and bold ideas., • Best-in-Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: • Inclusive and Competitive medical, Rx, dental, and vision coverage, • Family forming benefits, • 13 Paid Holidays, • Flexible Time Off, • 8 hours of paid Volunteer Time off, • Immediate eligibility into Company 401(k) plan with 3.5% company match, • Tuition Reimbursement program for degreed and non-degreed programs, • 1:1 personalized Financial Planning Sessions, • Student Debt Retirement Savings Match program, • Free snacks and refreshments in each office location Join Us & Shape the Future of Real Estate AI! If you’re excited about building AI-driven solutions that revolutionize real estate, apply today! Do the best work of your life at Realtor.com® Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

About Us: webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture. About the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. Responsibilities: * Lead the development and optimization of Large Language Models and Mixture of Experts models. * Collaborate with cross-functional teams to integrate ML models into our platform. * Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. * Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies. * Mentor junior engineers and contribute to the team’s knowledge sharing and best practices. Qualifications: * Advanced degree (Ph.D. preferred) in Computer Science, or a related field. * Proven track record of innovations through publications or industry experience. * Minimum of 5 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts. * Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch. * Demonstrated ability to lead complex projects and work collaboratively in a team environment. * Excellent problem-solving skills and a passion for innovation. Preferred Skills: * Experience with cloud computing services (AWS, Azure, GCP). * Knowledge of Big Data technologies (Hadoop, Spark). * Familiarity with containerization and orchestration technologies (Docker, Kubernetes). * Publications or presentations in recognized Machine Learning journals or conferences. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: * Truth - Emphasizing transparency and honesty in every interaction and decision. * Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. * Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. * Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: * Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision benefits package. * $200/mos Health and Wellness Stipend * $400/year Continuing Education Credit * Flexible work week * Free parking, for in-office employees * Unlimited Approved PTO * Parental, Bereavement Leave * Supplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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. Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions, and government entities across 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. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement. This opportunity is in Visa's Machine Learning Platform. The Machine Learning Platform provides soft infrastructure support to Visa's data scientists and researchers. We enable the training of statistical and machine learning models via development and maintenance of a distributed computing stack. Frameworks used in the stack are: Kubernetes, Ray, Torch, Tensorflow, XGBoost, and Spark. Development is primarily in Python and Go. We are a cross-functional team that interfaces both with internal data science and research clients as well as other hard and soft infrastructure teams. Responsibilities for this role include: --Monitoring of infrastructure health and problem solving to address persistent or urgent issues --Platform stabilization, including unit and integration testing --Interfacing with Kubernetes and data platform teams --Implementation of new infrastructure features This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Basic Qualification: • 6+ or more years of work experience with a Bachelor’s Degree or more than 3 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)., • Masters' degree or PH.D in computer science, data science, statistics, or related field highly preferred., • Proficiency in Python., • Experience training ML models., • Experience with Conda highly preferred., • Experience with Ray highly preferred. 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 a new hire into this position is $139,800.00 to $202,750.00 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.

The company requires the service of one (1) Software Engineer 3 position who meets the general qualifications of Software Engineer 3 and the specifications outlined in this document for the above-named customer. The Software Engineer 3 contractor position is part of the HHSC IT Administrative Applications Robotic Process Automation (RPA) team and will play a crucial role in designing, developing, implementing, and maintaining RPA solutions. The Software Engineer 3 will perform developer duties that will include solution design and development, process automations, infrastructure management, collaboration, and continuous improvement. The contractor role is for a senior robotics developer for technologies that may include BluePrism, Microsoft Power Automate, and Azure. The role will be responsible for developing, testing, and troubleshooting bots that will automate various business processes. Hands-on experience with BluePrism, Microsoft Power Automate, and Azure is a must along with the ability to troubleshoot and validate HTTP responses. Knowledge of DOM, HTTP protocol, JavaScript, and HTML is also required. This will be a fast-paced project working in an Agile (Kanban/Scrum) environment. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Hands-on experience with RPA development, with at least 4 years specifically using Blue Prism 8 Required Experience with web development including HTML, JavaScript, DOM and HTTP protocol 8 Required Experience with SQL/No-SQL databases 8 Required Experience with RESTful web services 4 Preferred Experience with API development 4 Preferred Experience with process discovery, requirements gathering, and solution architecture 4 Preferred Proficiency in programming languages such as C#, Java, or Python 3 Preferred Experience with Azure infrastructure including troubleshooting 3 Preferred Experience with software development using Agile methodology 1 Preferred Experience with Power Automate development 1 Preferred BluePrism Certification 1 Preferred Microsoft Power Platform Developer Certification 1 Preferred Prior experience supporting Health and Human Services and OIG

Location: Austin, TX - must be local and able to be onsite 3 days per week (Mon, Tues & Thurs) Duration: 6 month contract-to-hire Compensation: $150K-160K Work schedule: Monday-Friday (8 AM-5PM CST) - onsite 3x per week Benefits: This position is eligible for medical, dental, vision and 401(k) The Head of Data Science & AI leads the organization’s data science strategy and team, driving advanced analytics and AI initiatives to deliver business value and innovation. This role sets the strategic direction for data science, ensures alignment with organizational goals, and promotes a data-driven culture. It involves close collaboration with business and technology teams to identify opportunities for leveraging machine learning and AI to improve operations and customer experiences. Key Responsibilities • Develop and execute a data science strategy and roadmap aligned with business objectives., • Build and lead the data science team, providing mentorship and fostering growth., • Partner with business leaders to identify challenges and deliver actionable insights., • Oversee design and deployment of predictive models, algorithms, and analytical frameworks., • Ensure data integrity, governance, and security in collaboration with engineering teams., • Communicate complex insights to non-technical stakeholders., • Manage infrastructure, tools, and budget for data science initiatives., • Drive experimentation with emerging AI technologies and ensure ethical AI practices., • 8+ years in data science/analytics with leadership experience., • Expertise in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)., • Experience deploying ML models and monitoring performance., • Familiarity with visualization tools (Tableau, Power BI)., • Strong knowledge of data governance, advanced statistical methods, and AI trends., • Skills in project management tools (MS Project, JIRA) and software development best practices (CI/CD, Git, Agile). Please apply directly to be considered.

About US: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit . Role Title: Crypto Engineering Specialist – Asset Management Technology Location: Austin, TX. Requirement from AWM Crypto Engineering Specialist Basically, looking for someone with the Subject Matter Hands on Experience in Crypto and or Blockchain Knowledge and experience with Cold Hot storage Wallets Digital Tokens Security etc Business Context: The Wealth & Asset Management Engineering is part of Technology Services, supporting research, investment management, and trading platforms. This team drives innovation for their Asset Management, leveraging advanced technologies to deliver differentiated portfolio research and digital asset solutions. Its strategic initiatives include crypto-related ETFs, spot cryptocurrency trading, and digital asset advisory services, positioning the firm as a leader in digital asset management. Job Summary: We seek a Crypto Engineering Specialist to design, implement, and optimize secure, scalable solutions for digital assets within the firm/client’s Asset Management ecosystem. This role combines deep expertise in cryptocurrency technologies with strong engineering skills to support the firm’s expanding digital asset offerings. Key Responsibilities: Blockchain & Crypto Development: Architect and implement blockchain-based solutions for asset management workflows. Develop smart contracts and decentralized applications (dApps) for secure transactions. Integrate crypto trading and custody solutions with the firm’s platforms. Technical Strategy & Architecture: Collaborate with WAME and firm’s Technology Services to define technical roadmaps for digital assets. Ensure compliance with financial regulations, Crypto Governance, and Risk frameworks. Optimize cloud-based infrastructure for Crypto and Blockchain workloads. Data & Analytics: Build analytics pipelines for Crypto Asset Performance and Risk Monitoring. Leverage AI-driven tools for predictive insights and portfolio optimization. Security & Compliance: Implement Cryptographic protocols and conduct security audits. Partner with compliance teams on AML/KYC and regulatory adherence. Required Skills & Qualifications: Education: BS/MS in Computer Science, Cryptography, or related field. Technical Expertise: Proficiency in blockchain programming (Solidity, Rust, Python). Strong knowledge of consensus mechanisms, cryptographic primitives, and distributed systems. Experience with cloud architecture (AWS, Azure) and containerization (Kubernetes). Experience: 12+ years in blockchain/crypto engineering or financial technology. Familiarity with asset management systems and trading platforms. Preferred: Exposure to DeFi protocols, tokenomics, and cross-chain solutions. Certifications like Certified Blockchain Professional or Crypto Asset Specialist. Soft Skills: Strong analytical and problem-solving skills. Ability to communicate technical concepts to business stakeholders. Collaborative mindset for cross-functional projects. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems. Responsibilities: Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle Software Engineering & AI/ML Data, Tools Development Proficiency in Python, with a background in back end services and data processing Exposure to AI/ML algorithms Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Understanding of LLMs, vector databases, and retrieval systems Experience with Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure Knowledge of building and deploying cloud based applications Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and infrastructure as code *Preferred Experience Experience building web applications with modern frameworks (React, Vue, or Angular) API development and integration experience Basic UX/UI design sensibilities for internal tooling Experience with real-time data processing and analytics Background in building developer tools or internal platforms Familiarity with AI/ML operations (MLOps) practices (Experience using airflow) Experience building MCP servers and integrating with AI assistants Knowledge of structured data exchange protocols and API design for AI systems. Location: Austin, TX (Hybrid; Tues-Thurs onsite) Duration: 12+ months Pay: $70/h - $80/h (DOE)

At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow's energy challenges while learning new skills and growing your career. ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future. Responsible for analyzing the performance of wind and solar forecasts, developing advanced forecasting methodologies including machine learning techniques, and integrating their impacts into grid operations. Analyzes the sources of grid variability, including fuel availability and emissions limitations, and provides analysis and technical support to ensure continuing reliable operations of the electric power grid in compliance with NERC Standards, ERCOT Protocols and Market Guides. Provides analysis and technical support for the planning and operation of the electric power system. Implements appropriate system modeling, develops tools and procedures to monitor and control the system, performs system studies, analyzes simulated or actual operating results, develops solutions to current or future system issues, and appropriately reports findings and recommendations. JOB DUTIES • Understands and apply principles, theories and concepts related to the profession and ERCOT's culture., • Exercises judgment within defined procedures and practices to determine appropriate action., • Impact is generally limited to specific assignments or projects., • May respond to inquiries and/or provide assistance and/or guidance to lower-level workers.ADDITIONAL JOB DUTIES, • Works under the direction of a senior level engineer or supervisor/manager to complete departmental goals and assignments, • Performs all work according to applicable rules and regulations including regulatory requirements and organization policies and procedures, • Learns how to use and develop software tools that enhance system reliability and departmental/organizational efficiencies, • Under direct supervision, participates in teams to obtain input, address comments and perform studies, • May provide on the job training or help oversee the work of other engineers/analysts, • May act as mentor and advisor to less experienced engineers/analysts, • Typically works independently on assignments and projects, • Participate in multifunctional teams to obtain input, address comments and perform studies, • Assists in developing tools, processes and procedures that enhance system reliability and departmental/organizational efficiencies, • Participates with other ERCOT departments to select and implement system changes as neededREQUIRED EXPERIENCE, • Level 2 Engineer Requirements: Minimum 1 year experience as a power system engineer or similar type role. Experience within the electric utility industry preferred., • Level 3 Engineer Requirements: Minimum 3 years' experience as a power system engineer or similar type role. Experience within the electric utility industry preferredSalary and level will be based on overall experience as determined by ERCOT. There is one position available. PREFERRED EXPERIENCE • Experience in data analysis/analytics and working with large data sets/relational databases, • Experience with Python and/or R, • Experience with wind and/or solar forecasting, • Experience with machine learning, • Experience with power flow analysis tools such as Powerworld or PSSEEDUCATION, • Bachelor's Degree: Electrical Engineering or related field (Required), • or a combination of education and experience that provides equivalent knowledge to a major in such fields is requiredCERTIFICATION, • PE Professional Engineer (Preferred)WORK LOCATION - Taylor, TX:, • Employees will be required to be on-site in Taylor, TX at a minimum of 2 days per week, or more, as needed based on the business needs as determined by management, • On-site schedules are flexible or may be rotated based on business needs as determined by the Manager, • Remote work is required to be performed from your Texas residence., • Employees may opt to work on-site more than required or 100% of the timeThe foregoing description reflects the minimum qualifications and the essential functions of the position that must be performed proficiently with or without reasonable accommodation for individuals with disabilities. It is not an exhaustive list of the duties expected to be performed, and management may, at its discretion, revise or require that other or different tasks be performed as assigned. This job description is not intended to create a contract of employment with ERCOT. Both ERCOT and the employee may exercise their employment-at-will rights at any time. #LI-Hybrid, #LI-MH1 ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law. Expected Salary Range: $82,344 - $131,720

At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow's energy challenges while learning new skills and growing your career. ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future. The Market Operations Analyst Lead serves as a subject matter expert and technical team lead within ERCOT's CRR Market Operations group. This role provides advanced analysis, operational oversight, and strategic guidance to ensure the efficient and reliable operation of ERCOT's Congestion Revenue Rights market. The position is responsible for supporting and assisting day-to-day market activities, leading complex operational and analytical projects, software development, and mentoring analysts to ensure compliance with ERCOT Protocols, Operating Guides, and Market Rules. The ideal candidate demonstrates deep expertise in ERCOT market design and operations, exceptional analytical capabilities, and strong leadership and communication skills to support market participants, internal teams, and other stakeholders. Essential Job Duties and Responsibilities Operational Oversight: • Support and assist in daily operations of ERCOT's Congestion Revenue Rights (CRR) business processes to ensure accuracy, efficiency, and compliance with established protocols., • Takes lead support role in the creation, troubleshooting, and validation of ERCOT network models for CRR markets.Market Analysis & Reporting:, • Conduct advanced analysis of market performance, price formation, and system conditions. Identify and explain market anomalies or deviations, and produce comprehensive reports for ERCOT management and stakeholders.Leadership & Mentorship:, • Serve as a technical lead and mentor to CRR Market Operations team as well as ERCOT teams interacting with CRR. Provide training, guidance, and performance feedback, ensuring continuous development of analytical and operational expertise within the team.Market Event Management:, • Lead investigations and root-cause analyses for significant market events, market participant disputes, settlements and credit issues. Collaborate with other departments to resolve discrepancies and enhance market design.System & Process Improvement and Support:, • Drive continuous improvement in market and analytical tools, procedures, and automation. Work with IT, vendor, and project management teams to develop requirements and Use Cases to validate new functionality for ERCOT CRR market system. Coordinate/implement/support testing procedures and data preparation for CRR market system changes and production troubleshooting. Lead studies for potential market changes and produce comprehensive reports for stakeholder discussion.Stakeholder Support:, • Serve as a key liaison between ERCOT and Market Participants, providing subject matter expertise, technical explanations, and guidance during market events, testing, and communications.Compliance & Documentation:, • Ensure adherence to ERCOT Protocols, Operating Guides, and NERC standards. Maintain and update operational documentation, training materials, and standard operating procedures.Cross-functional Collaboration:, • Partner with Market Design, Settlements, Grid Operations, and Regulatory teams to support market initiatives, rule changes, and operational readiness.Required Qualifications, • 6+ years of experience in electric power markets, grid operations, or energy analytics., • Proven experience in data analysis tools - SQL and Python., • Proven proficiency in Microsoft Excel and Power BI (or similar visualization tools)., • Proven ability to lead and motivate cross-functional teams.Preferred Qualifications, • 2+ years in a leadership or mentoring role preferred., • Familiarity with Linux Command Line Interface (CLI)., • Deep understanding of ERCOT market structure, Protocols, and pricing mechanisms., • Prior experience working at ERCOT, another ISO/RTO, or an energy market participant., • Experience with EMS, MMS, or other market systems., • Exceptional analytical and problem-solving skills., • Strong written and verbal communication, with the ability to convey technical information clearly., • High attention to detail and ability to perform under tight deadlines., • Strong organizational and documentation skills.Education, • A bachelor's degree in engineering, Economics, Finance, Mathematics, or related field is required.ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law. Expected Salary Range: $144,161 - $260,000

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Hello all, Role: Software engineer (AI Engineer) Location: Austin, TX (Hybrid) (Tuesday & Fridays onsite) Duration: Long Term JD: We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. Required Skills & Qualifications: • Bachelor’s degree in Computer Science, Engineering, or equivalent experience., • 3+ years in Development/Automation roles., • Strong background in cloud-native infrastructure (AWS, Azure, or GCP)., • Proficiency in automation and scripting (Python is preferred, Bash, etc.)., • Solid understanding of CI/CD pipelines, • Experience with cloud-native technologies, • Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering)., • Familiarity with Python machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)., • Good understanding of monitoring, logging, and observability tooling. Preferred Skills: • Experience with anomaly detection, predictive analytics, or time-series forecasting., • Knowledge of MLOps practices (for internal AI models)., • Experience integrating AI solutions into DevOps toolchains and platforms., • Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation)., • Some working experience with Hyper-V Virtual Machine Management, • Asset and service account management, • BMC Helix ticketing system II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Proven ability to administer GitHub Enterprise Cloud 8 Required Proven ability to analyze and resolve complex issues 8 Required Supporting and training end users on all levels. 8 Required Hands-on experience with Continuous Integration Delivery models 3 Preferred Hands-on experience with large development projects using Agile methodology

Python Backend Developer (6-Month Contract) – Austin, TX We’re seeking an experienced Python Developer to join a fast-paced gaming technology team on a 6-month contract in Austin, TX. The successful candidate will work on backend systems that power large-scale, high-performance gaming platforms. Contract Details: • Duration: 6 months (potential for extension), • Location: Austin, TX (hybrid 2 days a week), • Rate: 50-60/hr w2, • Industry: Casino gaming and entertainment technology Key Responsibilities: • Design, develop, and maintain scalable backend services using Python., • Collaborate with cross-functional teams including frontend, DevOps, and game engineers., • Optimize APIs and data pipelines for performance and reliability., • Contribute to code reviews, architecture discussions, and technical documentation. Required Skills: • 4+ years of professional experience in backend development with Python (e.g., FastAPI, Flask, or Django)., • Strong understanding of RESTful APIs and microservice architecture., • Familiarity with cloud infrastructure (AWS, GCP, or Azure)., • Excellent debugging and problem-solving skills. Please apply with an up to date resume

Job Title: Gen AI Architect Location: Sunnyvale, CA or Austin, TX JOB TYPE: Contract JOB MODE: Onsite Job Description: • 4 years experience in Machine Learning Implementations, • Experience in Structured Data Modelling, NLP, Time Series Modelling, • Good Understanding of LLM concepts (RAG, Prompting, Few Shot Prompting, SFT etc.), • Good understanding of MLOps Architectures and Components Problem Solving and Statistical Concepts, • ML Frameworks Scikit Learn, PyTorch TensorFlow Keras RASA LangChain Cloud DevOps Git, CICD Docker Kubernetes, AWSGCP, • Programming Language Python

Sr Software Engineer (Fintech Startup) Direct Hire W2 (no 3rd parties) - MUST be US Citizen or Green Card Holder Hybrid - Austin 78701 Required: • 5+ years of professional software engineering experience (at least 3 in fintech, payments, or other high-reliability domains)., • Backend expertise in at Python, Node or Go, • Strong API development experience, • Proven experience designing and scaling cloud-native systems (AWS, GCP, or Azure), • Experience with distributed data architectures, message queues, and event sourcing Preferred: • Experience with secure payment processing, reconciliation, and data integrity, • Settlement of Ledger accuracy experience, • PCI DSS/NACHA/SOC2 implementation experience, • Snowflake, Kafka experience, • Familiarity with AI/ML model deployment and MLOps best practices Perks: • 100% Company paid benefits (Medical, Dental, Vision), • Competitive base salary + Equity ($150-200k DOE), • Flexible PTO & Hybrid work environment, • Annual professional development budget

Programmers.io is currently looking for a Lead Python Developer Onsite Role in Austin, Texas, United States Full Time Role (NO C2C) Job Description: We’re looking for a hands-on engineering lead to drive the development of a secure, scalable knowledge platform and agentic AI capabilities. You’ll lead a small cross-functional team and own Agile/Scrum ceremonies including backlog grooming, sprint planning, daily standups, and retrospectives. Key Responsibilities • Lead & Develop: Architect and build serverless services and document pipelines using AWS and Python. Drive actual implementation and delivery., • CI/CD & Infrastructure: Set up and manage CI/CD pipelines using Jenkins and Helm., • Architecture Ownership: Design and evolve system architecture., • GenAI Integration: Apply practical GenAI to enable agentic AI, including RAG over vector/hybrid search and tool orchestration., • Mentorship & Collaboration: Mentor engineers and collaborate with product and UX teams to align on goals and execution., • Optimization: Continuously improve latency, reliability, and cost efficiency across services. Required Skills • Python Mastery: Strong hands-on development skills in Python., • AWS Expertise: Experience with Lambda, S3, Step Functions, API Gateway, DynamoDB, Kinesis, Glue, • DevOps Tools: Proficiency with Jenkins, Helm., • GenAI Experience: Practical experience applying GenAI in production systems. If you are interested, please apply or feel free to share your updated resume at

Job title: Technical Product Owner Tenure: Until December 31st 2026 Interview Process: Internal & Client Please Note - Hybrid at Morris Plains, NJ Will also consider candidates in Austin, TX or Franklin, TN or Bloomfield, CT Job Summary: 1. Product Ownership & Vision o Define and communicate product vision, strategy, and roadmap aligned with business goals. o Prioritize features and manage product backlog to maximize value delivery. 2. Stakeholder Management o Collaborate with multiple stakeholders including business teams, engineering, QA, and operations. o Gather and document requirements, ensuring clarity and alignment across teams. 3. Delivery & Execution o Track deliverables and ensure timely completion of sprints/releases. o Monitor progress, identify risks, and implement mitigation strategies. 4. Domain Expertise o Leverage healthcare domain knowledge to guide product decisions. o Understand PBM processes and integrate them into product features where applicable. 5. Technical Acumen o Work closely with technical teams; understand architecture and design considerations. o Utilize knowledge of cloud platforms and programming languages to make informed decisions. 6. Agile Leadership o Facilitate Scrum ceremonies and promote Agile best practices. o Act as a servant leader to remove impediments and enable team success. 7. Documentation & Compliance o Maintain comprehensive documentation for requirements, user stories, and release notes. o Ensure compliance with healthcare regulations and security standards. Required Skills: • 12+ years in the IT industry, with 8+ years as a Product Owner., • Strong background in Healthcare domain; PBM (Pharmacy Benefit Management) knowledge is a plus., • Hands-on experience with Cloud technologies (AWS, Azure, GCP)., • Familiarity with at least one programming language (COBOL, Java, Python)., • Proficient in Agile methodologies, Scrum, and Jira for backlog and sprint management., • Prior experience as a Scrum Master is desirable. Years of Experience: 12.00+ Years of Experience

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Who We Are: Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif, and others), our mission is to power global travel for everyone, everywhere—because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 80+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced technology, we’ve built a marketplace that filters through millions of possibilities for travelers and partners worldwide. About the Team: The Marketplace Machine Learning Science team is launching a high-impact initiative focused on Customer Lifetime Value (CLV)—a key business metric that will shape long-term company performance and executive decision-making. As a Machine Learning Scientist III, you will lead efforts to build causal models and experimentation frameworks that optimize how we serve millions of travelers globally. This is a high-visibility role with direct exposure to executive leadership and cross-functional teams across product, engineering, marketing, customer service, pricing, and more. You’ll be joining a zero-to-one initiative with strong leadership support and urgency to deliver impact starting immediately. Strategic Impact & Visibility: This role offers a rare opportunity to shape how Expedia Group measures and optimizes long-term customer value. You’ll be part of a newly formed team with zero existing members on CLV, giving you the chance to influence foundational modeling decisions and build scalable solutions from the ground up. In this role, you will: • Lead the research and implementation of scalable machine learning and data science solutions end-to-end with engineering rigor, • Apply causal inference techniques to understand drivers of customer lifetime value and measure the impact of business interventions (e.g., marketing, service, product features), • Design and execute robust experiments (e.g., A/B tests, quasi-experimental methods) to evaluate business strategies and validate model performance, • Translate complex findings into actionable insights for both technical and non-technical stakeholders, • Break down ambiguous business problems into structured, data-driven solutions, • Stay informed on relevant ML and AI research, with support from Expedia’s learning and development resources, • Collaborate with other machine learning and data science teams to foster a strong data science culture across Expedia Group Minimum Qualifications: • Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field, • Typically requires 4+ years of professional experience, though candidates with equivalent project or research experience are encouraged to apply, • Strong hands-on experience in causal modeling and experimental design, • Proven ability to analyze large, complex datasets and generate actionable insights, • Pragmatic problem solver focused on scalable and effective methods, • Ability to share ideas effectively with diverse technical and business audiences Preferred Qualifications: • Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valued, • Experience with end-to-end ML solution development, • Experience or interest in applying AI techniques, including large language models (LLMs), is a plus

Job: Software Engineer 3 Duration: Long-term contract Location: Austin, TX (Hybrid) Job Description Develop software solutions by studying information needs, conferring with users, and analyzing system flows, data usage, and work processes. Investigate problem areas and prepare and install solutions by determining and designing system specifications, standards, and programming. The Software Engineer 3 (contractor) position is part of the IT Administrative Applications Robotic Process Automation (RPA) team and will play a crucial role in designing, developing, implementing, and maintaining RPA solutions. The Software Engineer 3 will perform development duties that include solution design, process automation, infrastructure management, collaboration, and continuous improvement. This contractor role is for a senior robotics developer experienced in technologies such as Blue Prism, Microsoft Power Automate, and Azure. The role will be responsible for developing, testing, and troubleshooting bots that automate various business processes. Hands-on experience with Blue Prism, Microsoft Power Automate, and Azure is required, along with the ability to troubleshoot and validate HTTP responses. Knowledge of the DOM, HTTP protocol, JavaScript, and HTML is also required. This is a fast-paced project working in an Agile (Kanban/Scrum) environment. Required Skills and Qualifications • 8 years of hands-on RPA development experience, including at least 4 years specifically using Blue Prism, • 8 years of experience in web development, including HTML, JavaScript, DOM, and HTTP protocol, • 8 years of experience working with SQL/NoSQL databases, • 8 years of experience with RESTful web services. Preferred Skills • 4 years of experience with API development, • 4 years of experience in process discovery, requirements gathering, and solution architecture, • 4 years of proficiency in programming languages such as C#, Java, or Python, • 3 years of experience with Azure infrastructure, including troubleshooting, • 3 years of experience with software development using Agile methodologies, • 1 year of experience with Power Automate development, • 1 year of experience supporting Health and Human Services or OIG, • Blue Prism Certification, • Microsoft Power Platform Developer Certification.

Role overview A DevOps Architect is responsible for designing, implementing, and governing the end‑to‑end DevOps architecture, including CI/CD pipelines, infrastructure automation, and observability, to enable reliable and scalable software delivery across the organization. The role works closely with development, operations, and security teams to ensure modern, automated, and secure delivery practices. Key responsibilities Design and own the overall DevOps architecture, including CI/CD pipelines, environments, and release processes. Evaluate existing development and operations practices, identify gaps, and define a roadmap for DevOps maturity. Implement and standardize infrastructure‑as‑code (IaC) using tools such as Terraform, CloudFormation, ARM, or Ansible. Define and implement CI/CD workflows using tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar. Design containerization and orchestration strategies using Docker and Kubernetes (or equivalent platforms). Integrate automated testing, security scanning, and quality gates into the delivery pipeline. Set up and optimize monitoring, logging, alerting, and observability platforms to meet SLAs and SLOs. Collaborate with development teams on application architecture to ensure scalability, reliability, and cost efficiency in cloud/on‑prem environments. Define DevOps standards, best practices, and reusable templates/playbooks for engineering teams. Support cloud migration and modernization initiatives (e.g., monolith to microservices, on‑prem to cloud). Mentor and guide DevOps engineers and developers on tools, patterns, and operational excellence. Partner with security and compliance teams to embed security, governance, and audit requirements into pipelines. Required skills and experience Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 6–10+ years of experience in DevOps, SRE, platform engineering, or cloud/infrastructure roles, with at least a few years in a senior or lead position. Strong hands‑on experience with at least one major cloud provider (AWS, Azure, or GCP). Deep knowledge of CI/CD concepts, release management, and environment management. Proven experience with IaC tools (e.g., Terraform, CloudFormation, ARM/Bicep, Ansible, or Pulumi). Strong experience with containers and orchestration (Docker, Kubernetes, Helm or similar). Solid understanding of networking, security, high availability, and disaster recovery concepts. Proficiency in at least one scripting/programming language (e.g., Python, Bash, PowerShell, Go, or similar). Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog, New Relic, etc.). Excellent communication skills and ability to work with cross‑functional teams and stakeholders. Preferred qualifications Experience designing and running production systems in regulated or large‑scale environments. Certifications in cloud (AWS/Azure/GCP) or DevOps‑related areas. Experience with GitOps practices and tools (e.g., Argo CD, Flux). Experience driving cultural change around DevOps, automation, and continuous improvement.

Software Engineer – Backend Systems (Energy Infrastructure Platform) We’re working with a bold, mission-driven power company that’s rebuilding the backbone of the American energy system. By combining software, distributed infrastructure, and engineering speed, they are rolling out a next-gen platform that strengthens the grid and empowers communities nationwide. If you’re passionate about transforming critical infrastructure and building software that touches the real world, this is your moment. The team is developing the operating system powering their entire distributed energy platform. From orchestrating fleets of batteries and real-time grid response to managing field deployments and automating logistics, this is the digital foundation for the future of American power. As a backend software engineer, you’ll help scale the core systems that bring this infrastructure to life. What You’ll Do: • Design core backend services and scalable APIs that control everything from grid balancing to field ops., • Own the stack: Work primarily in Go and Python, deploying into modern AWS-based cloud environments., • Use Terraform to define infrastructure-as-code and Temporal to orchestrate complex workflows., • Collaborate across disciplines—deployment, hardware, and operations—to build high-reliability systems that cross physical and digital boundaries., • Every line of code you write will have real-world impact on homes, businesses, and the grid. What You Bring: • 2+ years of professional experience in backend software development (open to multiple seniority levels)., • Proficiency in Go, Python, Java, or similar languages., • Familiarity with AWS, Docker, Kubernetes, or other modern cloud and container technologies., • Passion for clean, maintainable code and solid testing practices., • Strong product mindset—you're thinking about the impact and user outcome, not just the implementation. This is your chance to build systems that don’t just ship a product, they power a nationwide platform that’s redefining how energy works in America. You’ll shape system behavior from silicon to deployment, partner with elite engineers, and lead innovation in one of the most critical and dynamic sectors of our time.

We are looking for a seasoned Azure Data Engineer to design, build, and optimize secure, scalable, and high-performance data solutions within the Microsoft Azure ecosystem. This will be a multi-year contract worked FULLY ONSITE in Austin, TX. The ideal candidate brings deep technical expertise in data architecture, ETL/ELT engineering, data integration, and governance, along with hands-on experience in MDM, API Management, Lakehouse architectures, and data mesh or data hub frameworks. This position combines strategic architectural planning with practical, hands-on implementation, empowering cross-functional teams to leverage data as a key organizational asset. Key Responsibilities 1. Data Architecture & Strategy • Design and deploy end-to-end Azure data platforms using Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database., • Build and implement Lakehouse and medallion (Bronze/Silver/Gold) architectures for scalable and modular data processing., • Define and support data mesh and data hub patterns to promote domain-driven design and federated governance., • Establish standards for conceptual, logical, and physical data modeling across data warehouse and data lake environments. 2. Data Integration & Pipeline Development • Develop and maintain ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks for both batch and streaming workloads., • Integrate diverse data sources (on-prem, cloud, SaaS, APIs) into a unified Azure data environment., • Optimize pipelines for cost-effectiveness, performance, and scalability. 3. Master Data Management (MDM) & Data Governance • Implement MDM solutions using Azure-native or third-party platforms (e.g., Profisee, Informatica, Semarchy)., • Define and manage data governance, metadata, and data quality frameworks., • Partner with business teams to align data standards and maintain data integrity across domains. 4. API Management & Integration • Build and manage APIs for data access, transformation, and system integration using Azure API Management and Logic Apps., • Design secure, reliable data services for internal and external consumers., • Automate workflows and system integrations using Azure Functions, Logic Apps, and Power Automate. 5. Database & Platform Administration • Perform core DBA tasks, including performance tuning, query optimization, indexing, and backup/recovery for Azure SQL and Synapse., • Monitor and optimize cost, performance, and scalability across Azure data services., • Implement CI/CD and Infrastructure-as-Code (IaC) solutions using Azure DevOps, Terraform, or Bicep. 6. Collaboration & Leadership • Work closely with data scientists, analysts, business stakeholders, and application teams to deliver high-value data solutions., • Mentor junior engineers and define best practices for coding, data modeling, and solution design., • Contribute to enterprise-wide data strategy and roadmap development. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related fields., • 5+ years of hands-on experience in Azure-based data engineering and architecture., • Strong proficiency with the following:, • Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake Storage Gen2, • SQL, Python, PySpark, PowerShell, • Azure API Management and Logic Apps, • Solid understanding of data modeling approaches (3NF, dimensional modeling, Data Vault, star/snowflake schemas)., • Proven experience with Lakehouse/medallion architectures and data mesh/data hub designs., • Familiarity with MDM concepts, data governance frameworks, and metadata management., • Experience with automation, data-focused CI/CD, and IaC., • Thorough understanding of Azure security, RBAC, Key Vault, and core networking principles. What We Offer • Competitive compensation and benefits package, • Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status.

Technical Writer - Senior location: Austin, TX - Hybrid role Required Qualifications • 2–5 years of technical writing experience, preferably for developer-facing products or APIs., • Strong writing and editing skills with attention to detail and clarity., • Basic to intermediate coding/scripting abilities (Python, JavaScript, or similar)., • Experience with XML DITA and Oxygen XML Author., • Familiarity with docs-as-code (Markdown, Git/GitHub)., • Knowledge of API documentation standards and tools (OpenAPI/Swagger, Postman)., • Interest in and some experience with AI tools for content creation or automation., • Strong communication and collaboration skills. Nice to Have • Experience in the payments industry., • Knowledge of AI prompt engineering techniques. #LI-CGTS #TS-5775

Location: [Austin, Texas] Employment Type: Full-Time Work Authorization: Must possess valid U.S. work authorization Experience Level: 0–5 years Education Requirement: Master’s degree in a relevant field About the Role We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will leverage data to support business decision-making, conduct in-depth analyses, and develop insights that drive operational and strategic improvements. This role is suited for early-career professionals with strong quantitative skills and a passion for transforming data into actionable information. Key Responsibilities • Collect, clean, and analyze large datasets from multiple sources., • Develop dashboards, reports, and visualizations to communicate insights to stakeholders., • Apply statistical methods, data modeling, and quantitative analysis to solve business problems., • Collaborate with cross-functional teams to define data requirements and analytics needs., • Identify trends, patterns, and opportunities for process improvements., • Support the development and maintenance of data pipelines and documentation., • Ensure accuracy, consistency, and integrity of reported data., • Master’s degree in Data Science, Statistics, Computer Science, Analytics, Engineering, Business Analytics, or a related field., • 0–5 years of experience in a data analyst, business analyst, or relevant quantitative role., • Valid U.S. work authorization., • Proficiency in SQL and experience with relational databases., • Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker)., • Strong analytical and problem-solving skills., • Experience with Python or R for data analysis., • Experience with cloud technologies (AWS, Azure, or GCP)., • Familiarity with machine learning techniques or predictive modeling., • Knowledge of ETL processes and workflow automation tools., • 401(k) plan with company match, • Dental and vision insurance, • Health insurance coverage, • Joining bonus, • Generous paid time off and holidays, • Learning & development opportunities

Senior Platform Engineer / DevOps / SRE Assignment Duration: 10/20/2025 – 07/19/2026 Location: Aliso Viejo, CA or Austin, TX (LOCAL TO TX OR CA ONLY) Work Type: Hybrid (Onsite Tuesdays & Thursdays) We are seeking a Senior Platform Engineer with strong experience in GitOps, CI/CD, and modern software delivery practices. This role is ideal for someone passionate about building scalable, efficient, and low-friction engineering workflows. You will help shape internal platform capabilities and deliver impactful solutions across engineering teams. Key Responsibilities: Own and enhance the ArgoCD GitOps solution, including development, integration, and ongoing support. Gather feedback from internal engineering teams to continuously improve developer experience. Develop solutions for multi-tenant, multi-environment global distribution architectures. Design and implement reusable, production-ready CI/CD pipelines. Integrate external services and tooling into CI/CD workflows. Collaborate closely with platform and release engineering teams to streamline the release process and automation. Troubleshoot and diagnose issues across build, test, and release pipelines. Requirements: 10 years of experience in Platform Engineering, DevOps, or SRE roles. Proven experience designing and executing software development processes. Deep knowledge of ArgoCD or similar GitOps CD tools. Proficiency with GitLab CI or similar continuous integration systems. Understanding of build systems for applications written in Java, JavaScript, C++, Python, and Go. Skills & Knowledge: Strong ability to support engineers in solving issues related to build, test, and release pipelines. Experience with Kubernetes and cloud-native infrastructure. Experience with public cloud environments (AWS preferred). Excellent interpersonal communication and customer-focused mindset. Comfortable collaborating within a distributed team across multiple time zones. High energy, self-driven, and motivated to deliver strong business impact. Contribution to open-source projects is a plus.

Position: Data Engineer III Location: Austin, Texas Duration: Contract Job ID: 172534 Job Overview: We are seeking a highly skilled and experienced Data Engineer III to join our team in Austin, Texas. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines and systems to support our organization's data needs. This role requires a deep understanding of data engineering principles, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. Responsibilities: • Design, develop, and maintain scalable data pipelines and systems., • Collaborate with cross-functional teams to understand data requirements and deliver solutions., • Optimize and improve data workflows for efficiency and reliability., • Ensure data quality and integrity through robust testing and validation processes., • Monitor and troubleshoot data systems to ensure smooth operations., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Data Engineer or in a similar role., • Strong proficiency in programming languages such as Python, Java, or Scala., • Experience with big data technologies like Hadoop, Spark, or Kafka., • Proficiency in SQL and database management systems., • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud., • Excellent problem-solving and analytical skills. At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity., • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at

RPA/Blue Prism Developer Hybrid – Austin, TX Long-Term Contract Department of Information Resources (DIR) – HHSC IT Administrative Applications Location & Contract Details • Location: Austin, TX (Hybrid – onsite 2 days per week), • Contract: Long-term (1+ year with potential extension) Eligibility Requirements • Must be local to the Austin, TX area and able to work onsite two days per week., • Must be able to work on a W2 basis only (no C2C, 1099, or third-party vendors)., • Must be authorized to work in the United States without sponsorship now or in the future. Level Description A Software Engineer 3 is an experienced technical professional with 8+ years of experience, capable of planning and accomplishing goals with minimal guidance. This role requires independent execution of complex tasks and may involve leading or directing the work of others. A high degree of creativity, initiative, and professional judgment is expected. Job Description The ideal candidate will have extensive hands-on experience with Blue Prism, Microsoft Power Automate, and Azure, along with strong knowledge of front-end technologies and web protocols. This position involves working in a fast-paced Agile environment (Kanban/Scrum) and requires strong analytical, troubleshooting, and communication skills. Primary Responsibilities • Design, develop, implement, and maintain RPA solutions for enterprise applications., • Collaborate with users, analysts, and stakeholders to understand automation requirements., • Troubleshoot, debug, and optimize automated processes and bots., • Create, modify, and validate system specifications, standards, and programming workflows., • Investigate problem areas and recommend system enhancements., • Manage RPA infrastructure and assist with Azure-related troubleshooting., • Develop and consume RESTful web services and validate HTTP responses., • Participate in Agile ceremonies and contribute to continuous process improvement., • Produce documentation, design artifacts, and operational support materials. Minimum Requirements (Skills & Experience) • At least 8 years of hands-on RPA development experience, including a minimum of 4 years specifically working with Blue Prism., • 8 years of experience with web development technologies such as HTML, JavaScript, DOM, and HTTP protocol., • 8 years of experience working with SQL and NoSQL databases., • 8 years of experience developing and consuming RESTful web services., • 4 years of preferred experience in API development., • 4 years of preferred experience in process discovery, requirements gathering, and solution architecture., • 4 years of preferred experience with programming languages such as C#, Java, or Python., • 3 years of preferred experience working with Azure infrastructure, including troubleshooting., • 3 years of preferred experience working in an Agile (Kanban/Scrum) environment., • 1 year of preferred experience with Microsoft Power Automate., • Preferred certifications include Blue Prism Certification and Microsoft Power Platform Developer Certification., • Preferred experience supporting Health and Human Services (HHS) or the Office of Inspector General (OIG).

LaunchCode is recruiting for a Software Data Engineer to work at one of our partner companies! Details: • Full-Time W2, Salary, • Immediate opening, • Hybrid - Austin, TX (onsite 1-2 times a week), • Pay $85K-$120K plus $10,000 sign on and $10,000 relo, • Minimum Experience: 4 years, • Security Clearance: Active DoD Secret Clearance Disclaimer: Please note that we are unable to provide work authorization or sponsorship for this role, now or in the future. Candidates requiring current or future sponsorship will not be considered. Job description Job Summary 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, the company 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 Innovation centers. The company has a presence in Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Why the company? • Environment of Autonomy, • Innovative Commercial Approach 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 #LI-hybrid #austintx #ETLengineer #dataengineer #army #aswf #clearancejobs #clearedjobs #secretclearance #ETL

Tittle : Linux Support Location : Austin , TX ( Onsite ) Mode : Fulltime Mandatory Skills: Unix/Linux commands, CI/CD pipeline:- Harness/Bamboo, Shell/Ansible/Python Scripting Job Description Good understanding of Linux operating systems (Red Hat) Proficiency in scripting languages like Shell/Bash/ Perl (Python is an added advantage) Experienced in CI/CD tools like Bitbucket/Bamboo , Harness Familiarity with configuration management tools (such as Ansible and SALT) Understanding network protocols and services (e.g., TCP/IP, DNS, DHCP) Experience in IBM WebSphere Application servers maintenance and troubleshooting is an advantage Hands-on experience with virtualization technologies, SQL, would be a added plus Excellent problem-solving abilities and a detail-oriented approach Excellent Communication skills to interact with customers, different teams and other 3rd party vendors

Job Role: Gen AI Technical Architect Job Type: Full time/ Permanent Location : Sunnyvale, CA / Austin, TX Job Description : • 4+ years’ experience in Machine Learning Implementations, • Experience in Structured Data Modelling, NLP, Time Series Modelling, • Good Understanding of LLM concepts (RAG, Prompting, Few Shot Prompting, SFT etc.), • Good understanding of MLOps Architectures and Components, • Problem Solving and Statistical Concepts Must Have • ML Frameworks, • Scikit Learn, Pytorch/tensorflow/Keras/RASA/LangChain, • Cloud/DevOps, • Git, CI/CD/Docker/Kubernetes, AWS/GCP, • Programming Language Python, • Generic Managerial Skills, If any, • Scikit Learn, Pytorch/ tensorflow/ Keras/ RASA/ LangChain, • Python Thanks & Regards,