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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.

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. athenahealth epocratesTM is seeking a Senior AI/ML Engineer to design, develop, and deploy advanced AI and ML solutions that enable our platform and mobile apps to transform the connection between pharmaceutical brands and 1million+ healthcare professionals during moment of care. As a multi-hat contributor, you bring a blend of Data Science, AI-Development Life Cycle engineering, and software engineering. Your primary responsibility will be designing, implementing, deploying, and maintaining Machine Learning solutions for a mix of features across multiple product areas. Experience building, deploying, and maintaining ML systems is required for classical AI models (examples: classifications, tagging, segmentation). Familiarity with Generative AI, Agentic AI, and the tooling to deploy these solutions in production software is highly desirable. Beyond AI model and pipeline work, you will serve as an advocate, and trusted partner within our subdivision: consulting with teams on their AI/ML approaches and evangelizing concepts across the organization in this dynamic field. The Team You will be part of the AI Capabilities engineering team. This team is entrusted with pushing the boundaries and building innovative AI / Machine Learning solutions in a growing and ever evolving space. This team also lays the foundation with the safety, privacy and performance guardrails and comes up with guidance for other teams to adopt the framework to build their own AI-enabled features. Key responsibilities * Participate in development of end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems * Help implement robust ML pipelines and production-grade infrastructure to support high-volume workloads * Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs * Research and prototype novel AI/ML algorithms and techniques to drive innovation. * Help establish best practices for AI/ML development, deployment, monitoring, and governance * Monitor model performance, scalability, and cost in production, and drive continuous optimization * Advocate for responsible AI—focusing on fairness, transparency, and data privacy Desired qualifications * Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field. * 3+ years in technology or software development, with at least 1 year specializing in ML/AI and Data Science roles. * Technical comprehension of Classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, Generative AI such as GPT and BERT, Large Language Model, LangChain and LangGraph. * Proven track record developing and deploying scalable AI/ML systems and pipelines in production using AWS. * Proficiency in Python and a working knowledge of JVM language/services. * Proficiency in working with SQL and non-SQL data. * Experience with at least one major ML framework (e.g., TensorFlow, PyTorch). * Practical experience taking models from prototype to production; familiarity with AWS SageMaker is a plus. * Experience in MLOps and Machine Learning workflow orchestration. * Excellent communication and interpersonal skills. * Passion for staying current with AI research and applying novel techniques responsibly in production. Expected Compensation $124,000 - $210,000 The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans. About athenahealth Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support. Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve. What we can do for you: Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. Learn more about our culture and benefits here: athenahealth.com/careers

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is seeking a passionate, authentic, dynamic and results-oriented professional to join the Finance Systems Strategy (FSS) team, reporting to the Senior Director. FSS is responsible for managing Finance technology and tools and is currently working directly with the Finance Leadership team to design the future architecture and drive the Finance Technology modernization roadmap. Visa has established a broader Finance Velocity Office (FVO) to build a foundation that supports the growth and complexity of our business and improves the day-to-day interactions of our Finance teams. The FSS team works closely with the broader FVO to implement technology to evolve how we work together to achieve meaningful, sustainable change and enable our long-term growth agenda. The role involves collaborating with key stakeholders across Finance, IT and the broader business to understand needs, identify improvement opportunities to develop and execute on the roadmap to accelerate our path to building a world-class finance function. Responsibilities and key success criteria: • Support with translating the finance vision for the future into a world-class technology end-state architecture., • Support development and management of the end-state architecture, and roadmap for the end-state architecture., • Support development and execution of major roadmap initiatives., • Develop compelling business cases and use cases as needed to support speedy decisioning by Finance Leadership., • Facilitate sessions for alignment of end-state and roadmap. Work with third-party vendors and consulting companies for the assessments., • Analyze current state and business needs using industry best practices to deliver recommendations., • Manage execution of portfolio of roadmap workstreams - project plans, analysis, deliverables, trackers, and other key project artifacts., • Work closely with Technology partners on the day-to-day execution of roadmap initiatives and ongoing BAU (Fixes, Enhancements), • Strategic and forward-looking thinking with a tendency for looking at issues in a holistic manner., • Experience with large, complex, global transformations with a bias for action. Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD MBA strongly preferred. Financial Services and Technology Consulting experience preferred Demonstrated experience applying AI and machine learning techniques to optimize finance systems and processes Experience with executing a finance transformation, with domain experience in Order to Cash or Record to Report Experience working on global, multi-stakeholder initiatives, focused on improving the customer experience. Exceptional collaboration and partnership skills in a global, matrixed environment with cross-functional teams. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 134,800.00 to 195,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Abacus is looking to hire a Senior Data Scientist in the Austin, TX area. This is a high impact role where the Senior Data Scientist will act as the expert for the entire data science workflow. The person in this role will manage everything from data collection and exploration to model development, deployment, and long-term monitoring. They will work closely with business leaders, engineers, and industry experts to create predictive models, algorithms, and probability engines that drive real results. Beyond deployment, the candidate will manage the post-deployment lifecycle, validate real-world model performance and translate insights into actionable, compelling recommendations. They will conduct Root Cause & Corrective Action (RCCA) analysis to diagnose model shortcomings and design forward-looking roadmaps to continually improve system performance. This role requires both strategic thinking and hands-on technical execution to ensure that AI/ML solutions drive measurable business impact. Ideal Candidate The ideal candidate is malleable, experimental, and unafraid to innovate. They proactively explore new ideas, demonstrate initiative, and bring energy to solving complex problems using cutting-edge AI/ML techniques. They understand how to balance business needs with data science best practices and can design thoughtful workflows that support both. The ideal candidate is a continuous learner with a strong appetite for new technologies and a deeply collaborative mindset. They excel at communicating with cross-functional teams and executive stakeholders and thrive in a fast-paced environment with shifting priorities. Above all, they bring clarity to ambiguity and help shape the direction of high-value AI initiatives. Key Responsibilities • Solve business and customer challenges using advanced AI/ML techniques., • Build prototypes and scalable AI/ML solutions to be integrated into production software products., • Collaborate with software engineers, business stakeholders, and product owners in an Agile environment., • Take full ownership of model outcomes and drive continuous improvement across the model lifecycle., • Lead end-to-end application and feature development with a production-ready mindset., • Review code, provide constructive peer feedback, and uphold high engineering standards., • Guide and mentor a team of data scientists on technical, methodological, and project-related matters., • Engage professionally with business partners, external partners, and key internal contacts., • Translate complex quantitative findings into actionable insights for both technical and non-technical audiences., • Break down ambiguous business questions into clear, structured, data-driven problem statements., • Stay informed on emerging ML/AI research and leverage internal learning resources to innovate., • Collaborate with other data science and machine learning teams to foster a strong data science culture., • 5+ years of experience as a Data Scientist working on real-world ML problems., • Proficiency in writing clean, modular, object-oriented Python code., • Strong SQL skills and advanced data-wrangling capability, with experience working independently on large and messy datasets., • Deep understanding of math, statistics, and machine learning techniques including deep learning, NLP, classification, forecasting, and regression., • Hands-on experience deploying machine learning models into production environments., • Experience translating business questions into data science problem statements and clearly communicating progress to non-technical stakeholders., • Proven ability to lead and mentor other data scientists., • Strong commercial awareness with an ability to connect analytics to measurable outcomes, trade-offs, and growth opportunities., • Hands on experience working with Azure based tools such as Azure Machine Learning, Azure Data Studio, and related cloud services for model development, deployment, and monitoring.

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

Job Description Company Background: Ownwell has developed a leading end-to-end property tax solution that is purpose-built for SFR and CRE investors, operators, and property managers. We have brought Data Science and Machine Learning to a space that is ripe for disruption. We combine a best-in-class technology stack with local market expertise to reduce expenses, increase Net Operating Income, and drive operational efficiency for both our institutional clients and individual homeowners. Ownwell's solution ensures you have the necessary tools, resources, and information to confidently manage your property taxes. Ownwell has been recognized both in Austin and Nationally, as a top workplace by the likes of Fortune, BuiltIn, Inc, and Best Places To Work. We are well-funded and venture-backed by some of the best investors in the world such as First Round Capital and Bessemer Venture Partners. Our customer base has grown by more than 300% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We've brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data Scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do • Customer Obsession, • Take Ownership, • Do The Right Thing, • Go Far Together Our sales team is an important growth engine of Ownwell - building trust, winning business, and delivering measurable savings for property owners. We thrive on big goals, fast execution, and meaningful customer outcomes. We open doors, forge lasting relationships, and shape how Ownwell grows. If you're driven, curious, and hungry to make an impact, you'll feel right at home here. The Role: Ownwell is looking for a high-impact Senior Account Executive to drive growth with institutional property owners. This is a quota-carrying, outbound-focused role where you'll own the full sales cycle - building pipeline, leading executive conversations, and closing transformative deals. While your primary focus will be winning big, strategic accounts (and any smaller ones that come up), as a senior member of the sales team you'll also set the tone for excellence: sharing best practices, stepping in to support inbound opportunities, and helping elevate junior team members. You'll be a player first, and a coach when the team needs you. This is a role for someone who wants to win big. If you thrive in fast-paced environments, can navigate complex deals, and know how to combine hustle with strategy, you'll feel right at home at Ownwell. Responsibilities: • Own the full sales cycle for institutional and enterprise accounts, from prospecting through close., • Build and manage a high-quality pipeline through outbound efforts and strategic prospecting., • Lead executive-level conversations with property owners and decision makers, • Consistently meet & exceed revenue targets and contribute directly to company growth., • Step in on high-value inbound opportunities to ensure Ownwell maximizes every lead., • Share expertise and provide light coaching to junior sales reps, raising the bar across the team., • 5+ years of Real Estate or Financial Service-related sales experience, with a track record of closing larger, high-value deals., • Strong outbound skills: you know how to prospect, hunt, and build pipelines at the institutional level., • Confidence in leading executive-level presentations and negotiations., • Relentless drive for results and comfort with ambitious targets., • Team-first mindset: competitive on the scoreboard, generous with knowledge off it., • Entrepreneurial culture. Own your career; we are here to support you in the journey., • Access to First Round Network to build your community outside of Ownwell., • Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We offer the last week of the year to recharge and reset., • Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage., • Learning support through a $1,000 stipend per year to enable investing in your individual learning needs., • Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent.

Job DescriptionAI SOLUTIONS DEVELOPER (RALEIGH, NC) FuntoNetwork IT Consulting Empowering Businesses with Innovative IT Solutions Position: AI Solutions Developer Department: Innovation & Advanced Technology Location: Raleigh, North Carolina (Hybrid: 3 days in office, 2 days remote) Type: Full-Time, Exempt Reports To: Chief Technology Officer Office Location: Raleigh-Durham Research Triangle Area About FuntoNetwork At FuntoNetwork, we believe that artificial intelligence represents the next frontier of business innovation, and we're strategically planting our AI practice in the heart of North Carolina's technology corridor. Based in Charlotte with our new AI division in Raleigh, we're positioned to leverage the Research Triangle's world-class talent pool, academic partnerships, and vibrant tech ecosystem. We develop custom AI solutions, intelligent automation, and machine learning applications that transform how businesses in the Southeast and beyond operate, compete, and grow. Position Overview: Join Our Raleigh AI Innovation Hub We are establishing our AI Development Center in Raleigh and seeking a foundational AI Solutions Developer to lead this initiative. This is more than a job—it's an opportunity to build something significant in one of America's premier tech regions. You will be our first Raleigh-based AI specialist, responsible for designing, developing, and deploying cutting-edge AI/ML solutions while helping us establish partnerships with local universities (NC State, Duke, UNC), research institutions, and tech companies. You'll work on diverse AI challenges across industries while being embedded in the Research Triangle's innovative community. Why Raleigh for AI Development? • Academic Powerhouse: Direct access to NC State's AI/ML programs, Duke's AI research, and UNC's data science initiatives, • Industry Ecosystem: Located in the #1 best place for tech jobs in the Southeast, surrounded by IBM, Red Hat, SAS Institute, Cisco, and growing AI startups, • Cost Advantage: Compared to Silicon Valley or NYC, Raleigh offers exceptional talent at competitive rates with lower operational costs, • Quality of Life: Consistently ranked among best places to live, work, and innovate with exceptional schools, parks, and cultural amenitiesKey Responsibilities, • AI Solution Development: Design, build, and deploy custom AI/ML models and applications for clients across healthcare, finance, manufacturing, and biotech sectors prevalent in the Research Triangle region., • Research Triangle Integration: Establish and maintain relationships with local academic institutions for talent pipeline, research collaboration, and staying current with emerging AI technologies developed in the region., • End-to-End ML Pipeline: Develop complete machine learning pipelines using Microsoft Azure AI Services and AWS SageMaker, with particular focus on solutions relevant to regional industries (healthcare analytics, supply chain optimization, predictive maintenance)., • Client Engagement: Work with Southeastern US clients to identify AI opportunities, develop solution architectures, and deliver measurable business value through intelligent automation and predictive analytics., • Local Tech Community Leadership: Represent FuntoNetwork at Raleigh-Durham tech meetups, AI conferences, and university career events. Build our brand as an AI innovator in the local ecosystem., • Solution Integration: Create AI solutions that integrate with clients' existing Microsoft ecosystems (common in corporate environments throughout NC/SC/VA/TN)., • AI Ethics & Governance: Implement responsible AI frameworks suitable for regulated industries common in the region (healthcare, finance, pharmaceuticals).Required Qualifications & Skills, • Experience: 3-5 years of professional AI/ML development experience, preferably with exposure to Research Triangle companies or academic collaborations., • Technical Mastery (Raleigh-Ready):, • Core: Advanced Python, scikit-learn, TensorFlow/PyTorch, • Cloud Platforms: Microsoft Azure AI/ML (strongly preferred) or AWS SageMaker, • Specialization: Experience in one or more areas relevant to Triangle industries: Healthcare/NLP, Predictive Analytics, Computer Vision, or Time Series Analysis, • Deployment: Production deployment experience using containers, APIs, and MLOps practices, • Local Network Advantage: Existing connections within Raleigh-Durham tech community, university AI labs, or local tech organizations is a significant plus., • Educational Background: Advanced degree (MS/PhD) in Computer Science, Statistics, or related field from a Research Triangle institution (NC State, Duke, UNC) is preferred but not required., • Communication Skills: Ability to explain complex AI concepts to both technical and business audiences, with experience presenting at tech meetups or conferences., • Certifications (Valued): Microsoft Certified: Azure AI Engineer Associate (AI-102), AWS Certified Machine Learning - Specialty, or credentials from local training programs.What We Offer in Raleigh, • Foundational Role: Be employee #1 in our Raleigh AI Center with autonomy to shape our local presence, hire additional team members, and establish our AI practice in the Research Triangle., • Strategic Location: Office in the Raleigh-Durham Research Triangle with easy access to:, • NC State University's Centennial Campus, • Research Triangle Park, • Downtown Raleigh innovation district, • Durham's American Tobacco Campus, • Competitive Raleigh Compensation:, • Salary range: $130,000 - $170,000 (adjusted for Raleigh market rates), • Relocation assistance available for exceptional candidates, • Equity/profit-sharing potential for this foundational role, • Performance bonuses tied to practice growth, • Benefits Package:, • Comprehensive health, dental, vision (Blue Cross NC options), • 401(k) with 4% company match, • Generous annual training budget ($5,000+ for conferences, courses, certifications), • Latest high-performance development hardware, • Flexible hybrid schedule (3 days office, 2 days remote), • Paid parking or transit allowance in Raleigh, • Professional Development:, • Company-paid attendance at local AI conferences (All Things Open, Raleigh Data Science Summit), • Membership in Research Triangle AI/ML professional organizations To apply, please submit: • Your resume highlighting AI/ML projects and any Raleigh/Research Triangle connections, • A cover letter addressing: "Why are you interested in building an AI practice in Raleigh, and what specific connections or experience do you bring to help establish our presence in the Research Triangle ecosystem?", • Links to GitHub, portfolio, or publications Interview Process: • Initial screening (virtual), • Technical assessment (practical AI problem-solving), • On-site interview in Raleigh (we'll fly you in if needed), • Healthcare Analytics: Partnering with Triangle healthcare systems and biotech firms, • Supply Chain Optimization: For manufacturing and logistics companies in the Southeast, • Financial Technology: AI solutions for Charlotte's banking sector with Raleigh development, • Agricultural Technology: Leveraging NC's agricultural industry with smart farming solutions, • Academic Research Translation: Converting university research into commercial applicationsStrategic Rationale for Samuel:, • Talent Access: Raleigh produces 8,000+ tech graduates annually from local universities, • Cost Efficiency: 30-40% lower salary costs compared to Silicon Valley for equivalent AI talent, • Industry Alignment: Research Triangle has concentrations in healthcare, biotech, and tech—perfect for applied AI, • Charlotte-Raleigh Synergy: 2.5-hour drive between offices enables collaboration while accessing different talent pools, • Competitive Advantage: Few MSPs have dedicated AI practices in the Southeast FuntoNetwork is proud to expand our North Carolina presence and contribute to the Research Triangle's growing reputation as an AI innovation hub. We are an Equal Opportunity Employer.

Job Description At TerraFirma, we’re redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer. Our Story & Mission At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything. At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have. From a first-principles perspective, that doesn't make sense. It shouldn't be this hard or costly to create the foundations for progress. That’s when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds. Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity’s toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible. Job Overview You will design and implement the perception systems that give our automated heavy machinery the awareness needed to operate effectively in complex, unstructured environments. This role combines high-level architecture decisions with hands-on algorithm development, hardware integration, and field testing. You will work across the perception stack, from integrating and calibrating advanced sensors to building real-time processing pipelines for images, point clouds, and other high-bandwidth data streams. Your work will power critical functions such as collision avoidance, motion planning, localization, and operator visualization. Responsibilities * Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints * Work with motion and trajectory planning teams to design and synthesize sensor systems to extract required signals and inputs * Implement algorithms to efficiently detect objects of interest from incoming data streams for the purposes of collision avoidance, motion planning, and trajectory planning * Stitch together and manipulate camera feeds and data from other sensors to effectively visualize the state of physical systems to human operators * Develop real-time pipelines for processing, sharing, and fusing data from multiple sensor sources * Train Machine Learning (ML) models on existing and custom datasets and support collection and labeling of data for additional training and validation * Develop simulation and visualization tools to aid in rapid prototyping of robotic software and control algorithms * Own the integration, calibration, and testing of sensors, both for proof-of-concept prototypes and production systems * Lead interdisciplinary teams, mentor new employees, and actively participate in the hiring process Basic Qualifications * B.S. in Robotics, Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a closely related field * 2+ years of professional or project experience with robotic software development, involving implementation of real-time algorithms for perception and data processing pipelines * Demonstrated experience owning large-scale deliverables, leading teams, and driving product roadmaps Preferred Skills & Experience * Experience working with safety-critical or real-time systems * Experience working with embedded applications for robotics, autonomous vehicles, aerospace, automotive, or construction * Proficiency in C++ and Python, including development for Linux-based systems and bare-metal MCUs * Experience training, testing, optimizing, and deploying online and offline machine learning models with existing and custom datasets * Experience implementing algorithms or pipelines for robotic systems or feedback control from scratch in C++ or Python * Experience performing object detection on multiple data sources including multi-spectral images and point clouds * Experience programming FPGAs for high-throughput networking, compression, or DSP Additional Requirements * Must be willing to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues * Comfortable with working in a fast-paced startup environment * Must be willing to relocate to Austin, TX if not within commuting distance Compensation & Benefits Base compensation will vary based on factors such as relevant experience and education. Salaries and leveling will be determined on a case-by-case basis if an offer is extended. Our total compensation package also includes equity in TerraFirma. Relocation packages are available to help cover moving costs, if applicable.

Job Description Job Title: Head of AI & Data Science 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: $150,000 - $160,000 / Annually 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., • Oversee full AI model lifecycle: development, deployment, monitoring, and compliance.Qualifications, • 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.

Job DescriptionAscension Global Staffing & Executive Search, a Hispanic Women Owned & Operated National Recruiting Firm stands at the forefront of innovation and excellence. Led by a visionary team with a deep commitment to diversity and inclusion, our firm is dedicated to identifying and attracting top talent across the nation. With a unique blend of cultural insight and professional expertise, we pride ourselves on creating an environment that fosters success for both employers and candidates.Ascension Global Staffing is currently seeking an associate with 1-3 years of experience to join our Data, Privacy, and Cybersecurity team and advise on the full range of privacy, data processing, and cybersecurity matters on corporate and technology transactions, including mergers and acquisitions, public offerings, and other commercial and strategic transactions. You will be part of an industry leading team advising private and public companies of all sizes in a variety of industries, including artificial intelligence and machine learning, cloud computing, software, and fintech. Experience with mergers and acquisitions, capital markets, technology transactions, or other transactional work is required. Additional experience with technology industries, regulatory policy and enforcement are also desirable. CIPP certification is a plus. Superior academic credentials and excellent verbal, written, and interpersonal skills are required. Successful candidates may sit in Washington DC or Austin, Texas. Compensation and Benefits:Salary range of $225,000 – $260,000, based on year classification.

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

Job Description Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs. By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: New York, NY Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance. * Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding. * Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data. * Build agents capable of operating natively on real-world audio inputs. * Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications. * Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions. * Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments. * Participate in continuous improvement of the ML infrastructure and processes for scalability and performance. Qualifications * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 1-6 years of professional experience in ML engineering. * Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real-time inference, and model monitoring. * Excellent communication skills with the ability to engage directly with customers and stakeholders. Core Experience * Proven experience building and deploying ML models into production environments. * Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring. * Experience with audio-focused ML projects or similar domains involving unstructured data. * Proficiency in building scalable data pipelines for model training and evaluation. * Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Job Description Job Summary Founder’s Associate (GTM & Operations) BuildPass Full-time In-Person / Hybrid Opportunities | Austin, TX, United States About BuildPass At BuildPass, we’re building the world’s smartest operating system for construction to drive safer, more efficient job sites. AI is at the core of our mission to digitize one of the world’s largest and least tech-enabled industries. After raising a US$5M Seed in 2024, we’re growing ~10% month over month and have moved into our first U.S. presence in Austin. Our team comes from diverse backgrounds and skill sets. We don't expect you to have stepped onto a construction site. What matters most is curiosity, ambition, and a bias for action. About the Role This is not your typical entry-level role. As a Founder’s Associate, you’ll work closely with our CEO on high-impact projects across Go-To-Market (GTM) (operations, sales and marketing) - from drafting business cases to attend industry events, to improving sales prospect follow-up, streamlining internal processes, and turning data into insights. The perfect role for a generalist who loves wearing different hats and making an impact everywhere. This is an opportunity for someone early in their career who’s already proven they can deliver — through internships, sporting success, side projects, or academic excellence — and now wants to accelerate their career in a high-growth AI company. If you’ve been told you’re “a problem solver,” or “the person who just figures stuff out,” this role is for you. AI will be part of your daily toolkit. You’ll use it to speed up research, test ideas, and bring structure to messy problems, while also exploring new ways AI can unlock value across the company. Attention to detail is incredibly important in this role. To be seriously considered, please apply via the steps outlined below. Additionally send your resume to the email listed at the bottom of this ad with the subject line ‘Founder’s Associate + Your Name.’ Not completing this step is an easy way to demonstrate you didn’t read this carefully. You’ll report to the Head of Operations, working closely with our CEO and US GTM team. You’ll learn fast, shape your own career, and be rewarded for utilizing AI to drive smarter ways of growing the business. What You'll Do As a Founder’s Associate, your work will flex across operations, marketing, and sales. Some weeks you’ll be deep in data, other weeks you’ll be boots-on-the-ground helping execute. For example, you might: * Support the Founder directly – from building team onboarding pages, documenting key processes, or even setting up the office for team lunches and events. * Pitch and execute ideas – draft social media content designed to go viral, or test new AI tools to speed up marketing campaigns. * Fuel growth – research top industry voices for our CEO to interview on his podcast, or collaborate with the Australia team on product feature launches and how best to market them. * Tighten processes – review our sales pipeline and pitch ways to shorten time from demo to close, or improve onboarding so customers become active sooner. * Make things happen – pack and prep for industry conferences to ensure we put our best foot forward with prospects. * Turn insights into action – analyze customer engagement or expenses data and present recommendations to leadership. What You'll Learn This role is a launchpad for ambitious generalists. You’ll gain: * Startup 0→1 experience – See firsthand how a venture-backed SaaS company scales in the US. * Cross-functional knowledge – Work with sales, product, marketing, customer success, and operations in the US and across Australia, and the Philippines. * AI in action – Use AI to accelerate your work and help us explore how it can transform an entire industry. * Leadership visibility – Work closely with our CEO and support our leadership team executing on decisions that shape the business. What You'll Bring to the Team * Must be based in, or willing to relocate to, Austin, TX. This is a predominantly in-person role. * Early in your career, but already proving yourself through professional experience (consulting, VC, investment banking, finance, law, engineering); or internships; or ambitious side projects. * Proven track record of converting ideas into action * Excellent organizational skills and ability to manage multiple priorities * Strong analytical instincts - comfortable in spreadsheets, interest in learning dashboards / SQL * Bias toward ownership - you’ll drive things forward without full direction * Excellent written and verbal communication * Curiosity about AI and willingness to experiment with new tools Why BuildPass Construction is transforming - and BuildPass is leading that change. You’ll gain first-hand exposure to how a startup scales globally and how AI is reshaping the way construction operates. We also offer: * 🏖 20 days PTO (aligned with Australian standards) * 💸 Equity potential through our Employee Share Option Plan (ESOP) * 🩺 Comprehensive health insurance * 🏋️ Health & wellness reimbursement for fitness or wellness apps * ☕ Central Austin office — free parking, great cafés nearby, and a proper espresso machine * 🍽 Team culture — quarterly celebrations, team lunches, and offsites * 🚀 High visibility with leadership and opportunities for rapid growth How to Apply Please click the Apply Now button to submit your resume and a brief paragraph on why you think you’d thrive as a Founder’s Associate at BuildPass? We’re accepting applications on a rolling basis, so apply sooner rather than later if this sounds like you. If you have any questions? Email 👉 Data shows that 26% of women are unlikely to apply for a job if they don't have all the skills listed, compared to 12% of men. If you think you'd be a great candidate for this role but don't tick every box, we'd still love to hear from you.

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

Job DescriptionSaronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Summary: As a Mission Operations Engineer, you will be hands-on with the deployment and validation of our autonomous surface vessels where system integration is a primary focus. You will help ensure our systems meet rigorous technical and operational standards by conducting detailed operations and demonstrations, data analysis, and cross-functional coordination. You will be the face of and represent Saronic at external facing events and ensure complete vessel and mission readiness given the operational constraints for the exercise. You are able to meet deadlines and achieve desired outcomes as both an individual contributor and as a part of your team.Responsibilities • How you support the mission, • Develop deep understanding of vehicle HW and SW architecture, and how the vehicle operates as an integrated system., • Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities., • Collaborate with external entities to ensure vessel HW/SW integration is complete, inclusive of preliminary testing leading into end-to-end testing., • Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events., • Implement solutions for testing, safety of vessel operations, and system robustness to maximize efficiency., • Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis., • Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues., • Maintain autonomous vessels and test environments, including vessel and support craft operations, through the use of telemetry tools and onboard diagnostics to enhance reliability of all equipment and products., • Lead planning and execution of demonstration/exercises via integration of HW and SW to validate software and autonomy behaviors within an integrated system., • Interface with autonomy, software, hardware, systems, and external-Saronic teams to translate requirements into field-validated test objectives for the demonstration/exercise at hand., • Foster a collaborative and positive team environment, promoting open communication, knowledge sharing, and continuous improvement., • Develop test procedures, checklists, and safety protocols to support repeatable and safe vessel operation and overall mission execution while eliminating process waste., • Create post-mission reports with detailed logs, data plots, issue summaries, and engineering feedback.Basic Qualifications, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • 1+ years of hands-on engineering experience (design teams and previous internships qualify)Preferred Qualifications, • Strong problem-solving and troubleshooting skills (HW/SW) and ability to work effectively in challenging field conditions such as off-shore in open water, • Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems, • Knowledge of networking protocols and communication systems used in autonomous vessels, • Systems engineering experience, ability to understand multi-disciplinary integrated systems, • Experience with sensor integration such as EO/IR, radar, IMU, and others, as well as data processing, • Experience with integration and testing of multi-disciplinary integrated systems, • Familiarity with robotics, AI, or machine learning applications, • Familiarity with software development in Rust, Python, or other languages and CLI environment, • Ability to clone repositories, create/check-out branches, cherry‑pick commits, and check status across multiple branches while testing features, • Familiarity with maritime operations, • Understanding of DoD requirements and standards for autonomous systems, • Experience working with embedded systems and real-time computing, • Job requires up to 75% travel.Physical Demands, • Ability to certify as “fit for work” by demonstrating ability to swim and tread water, • Frequently and repetitively, lift, push and carry up to 75 lbs., • Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods, • Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues, • Ability to perform physically demanding work for extended periods of time, up to 12 hours/day, • The ability to carry 20 lbs. up and down stairs Benefits, • Medical Insurance: Comprehensive health insurance plans covering a range of services, • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care, • Saronic pays 100% of the premium for employees and 80% for dependents, • Time Off: Generous PTO and Holidays, • Parental Leave: Paid maternity and paternity leave to support new parents, • Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses, • Retirement Plan: 401(k) plan, • Stock Options: Equity options to give employees a stake in the company’s success, • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

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

Job Description Quilr is a start up in stealth mode based out of Austin. We are aiming to solve a problem in the Cybersecurity space that has been untouched till now. The founder has a 12 year history in Cybersecurity and has exited a company for $1B+. We are looking for a Senior Data Scientist to join our team to build a core engine of the product. The Senior Data Scientist will work closely with fellow developers to build the product. We are looking for someone who is very knowledgeable and a fast learner. Has to be very driven, enthusiastic and wants to be part of building something big. This will be a very high demanding role with very aggressive timelines, long work hours and complex problem statements. If this doesn't excite you and rather scares you, this isn't the role for you. Responsibilities: * Designing AI/ML systems. * Researching and setting up ML algorithmsand tools. * Selecting appropriate data sets. * Picking appropriate data representation methods. * Identifying differences in data distribution that affect model performance. * Verifying data quality. * Transforming and converting data science prototypes. * Performing statistical analysis. * Running machine learning tests. * Using results to improve models. * Training and retraining systems when needed. * Extending machine learning libraries. * Developing ML apps according to use case requirements. * Staying up to date on new trends and technologies in ML and AI. * Decide,Deploy,Train, tune and Scale AI/ ML models focused on solving particular use cases. * Designing and build data pipelines to feed data to train model and manage them. * Research AI techniques used in Similar problem statements by other organizations. * Understand the space of cybersecurity. Required Experience: * Advanced math and statistics skills in subjects such as linear algebra, calculus and Bayesian statistics. * An advanced degree in computer science, math, statistics or related fields. * 7+ Years of experience in machine learning, neural networks, deep learning or related fields. * Strong analytical, problem-solving, communication and teamwork skills. * Software engineeringskills. * Experience in data science. * Experience with coding and programming languages, including Python, Java, C++, C, Rand JavaScript. * Experience working with ML frameworks. * Experience working with ML libraries and packages, such as the Natural Language Toolkit. * An understanding of data structures, data modeling and software architecture. * Knowledge of computer architecture. * Knowledge and fluency in cloud platforms such as Amazon Web Services (AWS) ands Azure. * Experience with Python for developing machine learning pipelines using scikit-learn or R. * Experience in or can Implement/Develop/Tune/Train - Relational AI/Graph AI models, LLM models, NLP/NLU, Behavioral AI, Computer Vision etc. This is very young start up, with big dreams. If you think you are up for it feel free to apply. Company DescriptionThis is a very young startup in Stealth mode looking to build a transformative product in the cybersecurity space. Will not stop at anything. Very hardworking and innovative culture.This is a very young startup in Stealth mode looking to build a transformative product in the cybersecurity space. Will not stop at anything. Very hardworking and innovative culture.

Job DescriptionStanley Consultants is an award-winning and industry-leading global consulting engineering firm, with an unmatched commitment to culture, values, and ethics. We are dedicated to client experience and solve the most complex challenges to create a sustainable, connected, and enriched world for all. As the world changes, Stanley strategically evolves with it, integrating the latest technology, innovation, and resiliency practices. With over a century of experience serving the energy, federal government, transportation, and water sectors, we have helped improve lives and shape the infrastructure systems that connect us. As an employee-owned organization with a People First approach, we stand apart from other engineering consulting and services firms. At Stanley, your voice counts, your growth matters, and your success is our success. Stanley Consultants offers flexible work options, competitive pay and great benefits, a strong sense of community, and the chance to build a meaningful, long-term career! Job Title - Senior Water/Wastewater EngineerLocation - Austin, TX \u007C Baton Rouge, LA \u007C Cedar Rapids, IA \u007C Chicago, IL \u007C Denver, CO (Centennial) \u007C Des Moines, IA \u007C Minneapolis, MN \u007C Muscatine, IA \u007C Phoenix, AZ \u007C West Palm Beach, FLJob Type – HybridRequisition ID - 11116 Stanley Consultants is seeking a Senior Water/Wastewater Engineer to lead and deliver water, wastewater, and groundwater projects in any of our Water offices. This individual will be responsible for the planning, design, construction, and project management of water resources and municipal utility infrastructure, including drinking water sources, distribution systems, storage facilities, wastewater systems, and water treatment projects from technical development through construction services.The Senior Water/Wastewater Engineer will have expertise in one or more of the following: • Water distribution, transmission, and storage, • Water/Wastewater treatment, • Wastewater conveyance and peak weather flow infrastructure, • Wastewater treatment, • Water Reuse, • Pump Stations, • Hydraulic modeling, • Asset management, • Risk and resiliency consulting and design, • Smart water system planning, design, and implementationWhat You Will Be Doing:, • Leading team delivery of drinking water projects including evaluation and detailed design of intake structures, surface and ground water treatment plants, water reuse systems, storage, pumping, and transmission and distribution projects., • Preparing master planning reports and documentation required for grants and loans., • Self-motivated subject matter expert; demonstrated through participating in local professional organizations, preparing, and presenting market specific papers and presentations., • Ability to articulate and operate within the One Water paradigm., • Integration of smart water systems, process automation, and machine learning into overall water production and distribution design., • Use AutoCAD, Civil 3D, MicroStation and other applicable engineering design tools., • Work in collaboration with other disciplines (civil, mechanical, electrical, I&C, structural, and CAD) in producing plans and specifications., • Assisting in marketing business opportunities with key clients and development of responses to RFP/RFQs., • Providing marketing, technical leadership, and support during the procurement and execution of projects., • Developing and maintaining long-term relationships with clients., • Assisting clients with permitting, property acquisition, and stakeholder involvement., • Successfully collaborate with multi-disciplinary design teams., • Consistently managing and delivering projects on time and within budget., • Desire and ability to manage and mentor staff.Required Qualifications:, • Bachelor of Science (BS) degree in either Civil Engineering, Mechanical Engineering, Chemical Engineering, or Environmental Engineering., • At least 10 years of relevant experience., • Professional Engineer (PE) license; Illinois PE preferred or must be able to obtain within 6 months of hire date., • Illinois, Indiana, Michigan, and/or Wisconsin network of water/wastewater connections., • Regional expertise in one or more areas of water supply, treatment, storage, and/or distribution technical expertise., • Active participation in professional organizations., • Strong verbal, computer, and organizational skills., • Excellent technical writing skills., • Strong client relationship skills., • Excellent design team leadership skills.Preferred Qualifications: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Key Responsibilities : Design, Develop, and Implement Machine Learning Models Create and fine-tune machine learning models using Python. Utilize expertise in time series models to understand user queries and intent. Explore potential applications of GenAI to understand user queries and intent. Build and maintain robust data pipelines using Databricks (experience required). Package and deploy the machine learning service using Docker containers . Ensure the service is scalable, reliable, and secure. Write clean, maintainable, and well-documented code using Object-Oriented Programming (OOP) principles. Develop and execute unit tests to ensure code quality and reliability. Collaborate with cross-functional teams including data science, engineering, and product teams to bring the fashion assistant service to life. Participate in client management and project management activities as needed. Required Skills : Python: Expert level proficiency in Python programming with 5+ years of experience Docker: Experience in deploying services using Docker containers. Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies. Generative AI (GenAI): Basic understanding of GenAI applications.

Job DescriptionTitle: Cloud Engineer - Full Stack DeveloperLocation: Rochester, NY; hybrid candidates considered with 2x quarterly onsite presence Reports to: VP of Operations As a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications. Responsible for:-Assisting in the designing and building modern and highly scalable cloud-based applications for customers-Migrating and modernizing customer legacy applications using AWS services-Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs-Actively participating in team meetings and cross-functional interactions-Keeping team members and supervisors informed of progress and issues-Actively contributing to client project status meetings-Contributing to R&D projects to validate/invalidate new services offerings-Remaining current with technology trends and new technologies-Proposing the latest technology usage and integration standards-Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP-Participating in code reviews, document infrastructure-as-code, and assist with UI/UX-Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React-Utilizing best practices for security, compliance, and business continuity in cloud solutions How you will be successful:-Bridging the gap between technical complexity and business objectives through adept problem-solving abilities-Building trusting relationships with team members and collaborating departments-Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)-Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes-Championing ongoing elevation of personal skills paired with knowledge transfer to teammates-Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients Requirements of the role:-5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services-Strong experience with infrastructure-as-code tools like CloudFormation-Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework-Experience using AWS platforms including but not limited to Cognito and Amplify-Understanding of modern app architectures in cloud environments-Able to collaborate with cloud engineer and project management teams-AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates-In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.-Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.-Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.-Experience using AWS command line tools and SDKs to manage infrastructure as code-Building, deploying, managing microservices applications on AWS-Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS-Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud Additional Valuable Skills: -Experience with CI/CD pipelines and automated testing-Building event-driven architectures on cloud platform-Using infrastructure as code tools like CloudFormation -Frontend JavaScript frameworks like React-Machine learning capabilities like SageMaker-Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Research: Visa Research is an organization that focuses exclusively on the scientific foundations of existing, emerging and future commerce-related technologies. With the establishment of a formal research organization and the associated long-term commitment to technology research, Visa joins the ranks of a small number of industry leaders with both the insight and ability to substantially influence and systemically impact the future. Our Generative AI Trust & Efficiency (GATE) research team is at the forefront of building safe, reliable, and secure artificial intelligence. We are a collaborative group of researchers dedicated to solving the most challenging problems in AI safety and security. Our mission is to ensure that as generative AI models and agents become more capable, they are also developed and deployed responsibly. We foster a culture of innovation, encouraging our team to publish their work in top-tier conferences and collaborate with the broader research community. Role Overview: We are seeking a Staff Research Scientist to join our research efforts in the security and safety of Generative AI. In this role, you will be instrumental in shaping the future of trustworthy AI. You will conduct cutting-edge research on the vulnerabilities of LLMs and AI agents and develop novel defense mechanisms. Your work will directly influence the security and reliability of our products, protecting our users and systems from adversarial attacks. This is a unique opportunity to make a significant impact on the responsible development of AI. Responsibilities: • Conduct innovative research on attack and mitigation methods for LLMs and AI agents, including but not limited to jailbreaking, prompt injection, and other red teaming techniques., • Design and lead technical security research in the field of LLMs to identify and address AI-specific security threats., • Develop novel methodologies and frameworks to evaluate and enhance the reliability and safety of AI agents., • Investigate and develop privacy-preserving technologies to safeguard data within LLM and AI agent ecosystems., • Collaborate closely with engineering and product teams to translate research findings into practical, production-level solutions. Basic Qualifications: • Demonstrated experience in AI security research, including areas such as adversarial machine learning, model robustness, or privacy AI., • Strong programming skills in Python and deep learning frameworks such as PyTorch., • A track record of publications in top-tier academic conferences related to AI, machine learning, or security., • Proven experience in red teaming AI models, with hands-on experience in jailbreaking, prompt injection, and other adversarial attack methods., • Some understanding of the architecture and inner workings of LLMs and other generative models., • Experience in developing and deploying security solutions for large-scale AI systems., • Nice to have-Familiarity with privacy-enhancing technologies such as differential privacy, federated learning, or homomorphic encryption. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $152,200.00 to $220,850.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description We’re making the world a more walkable place. Through intuitive personal mobility, we make walking faster, more efficient, and more accessible to empower people to choose walking over sitting in traffic. By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet. Help us advance the world’s fastest shoes by designing, prototyping, and testing reliable and innovative hardware. We want an engineer ready to push the boundaries and one who makes the impossible a reality. We are looking for a work ethic similar to an engineer in Formula One. You must deliver and iterate quickly. We are not here for mediocrity, we are here to create elegant engineering designs. Is it demanding? Sure, but it is also rewarding and fun. While we embark on developing the next generation of Moonwalkers, we need to add to the Gait Control team, where we are looking for a person with real-world experience in developing a bipedal locomotion controller and an eye for detail. You will work with our mechanical team on the sensor and actuator packaging, the electronics team to balance performance and cost, and our software team to run your controller in the most efficient and reliable fashion. We are covered in Wired, CNET, Gizomodo, PCMag and many other tech press. Responsibilities: • The Gait Control Engineer is a critical position and will be responsible for leading the development of the gait control algorithm by applying machine learning, sensor fusion and bipedal locomotion control., • You will prototype novel algorithms in simulation and evaluate them on the actual prototype., • You will develop control strategies for various poses and gait, implement and evaluate the control system onto the real-world machine., • You will solve complex problems through efficient models that run on low-cost embedded systems with limited computational resources., • You will act as a solid system expert in ensuring safe and intuitive response of Shift shoes at all times., • You will be responsible for determining how to best design for performance requirements and system safety. You will determine what is most important, potential problems that may arise and for developing designs and solutions to enhance performance and reception., • You will develop production-quality embedded code with the firmware team and own your algorithms from design to production. Requirements • At least 2 years research and development experience in bipedal locomotion, actuated prosthetics, or humanoid robotics, and published papers in internationally recognized conference or journals., • Forward and Inverse Kinematics and Dynamics., • Model predictive control., • Expertise in control systems, state estimation, multibody dynamics, or optimization, • Sensor fusion and state estimation., • Proficient with Matlab, Python or other prototyping language., • Demonstrated excellence in real-time control and processing using C and C++., • Familiar with Matlab Simulink or physical model simulation such as Mujuco., • Experience developing, debugging, and optimizing real-time controls on highly dynamic machines., • Strong intuition for physical movement in machines, and insight into the physics of motion., • Opportunities for participation in our Employee Options programs, • 401K retirement plan, • Excellent medical, dental, and vision insurance, • Sick and Vacation time (Flex time for salary positions), and Paid Holidays, • Massive Growth Opportunities and a long-term career, • Casual and comfortable work environment

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Architecture Expert Location: Remote Type: Part-Time Contract (10-20 hours/week, flexible scheduling) Duration: 3-6 months with potential for ongoing work Compensation: Up to $130/hour About the Project You'll annotate architectural floor plans to train computer vision models that automatically recognize and segment building elements - contributing to cutting-edge technology that transforms how spaces are designed and visualized. What You'll Do • Annotate architectural floor plans using our Label Studio Enterprise platform to identify and segment:, • Core infrastructure (elevators, stairs, shafts, mechanical rooms), • Doors (single, double, swing, emergency exits), • Restrooms and accessibility features, • Structural elements (columns, walls), • Service areas (janitor closets, electrical rooms, AHU rooms), • Ensure geometric accuracy (closed polygons, continuous walls, proper right angles), • Follow strict annotation guidelines to maintain consistency across the dataset, • Identify rare or missing elements across floor plans, • Participate in weekly calibration sessions to review edge cases and maintain quality standards, • Meet quality benchmarks for accuracy, completeness, and consistencyBasic QualificationsRequired Experience, • Strong proficiency reading architectural floor plans (AutoCAD, Revit, or hand-drawn), • Understanding of architectural symbols and conventions, • Knowledge of building systems and core building elements, • Familiarity with building codes and accessibility standards (ADA compliance, fire exits, etc.), • Exceptional attention to detail and ability to maintain focus on precise workSkills & Attributes, • Excellent visual-spatial reasoning, • Consistency and reliability in work quality, • Self-motivated with ability to work independently, • Strong communication skills for flagging issues, • Comfortable with feedback and iterative improvement, • Minimum 10 hours per week availability for at least 3 monthsNice-to-HavesPreferred Background, • Formal education in architecture or related field (any level), • Experience with commercial/corporate office design, • Familiarity with MEP systems (mechanical, electrical, plumbing), • Understanding of structural systems and load-bearing elementsTechnical Experience, • CAD software proficiency (AutoCAD, Revit, ArchiCAD, SketchUp), • Experience with vector graphics or image editing tools, • Prior data annotation or labeling experience, • Exposure to machine learning or computer vision concepts, • GIS or spatial data analysis experienceWork Style, • Pattern recognition skills - quickly identifying repeated elements, • Systematic, methodical approach to reviewing work, • Problem-solving mindset for handling ambiguous cases, • Interest in AI/ML applications in architecture You understand spatial relationships - You can mentally visualize 3D spaces from 2D drawings and understand whybuildings are organized the way they are. You're consistent - You find satisfaction in doing precise work to a high standard and take pride in quality craftsmanship. You're a clear communicator - You flag problems early, ask clarifying questions, and aren't afraid to say "I'm not sure about this element." You're curious about technology - You're genuinely interested in how AI learns from annotated data and see value in the intersection of architecture and machine learning.

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is seeking an Operations Specialist to support our delivery teams as we scale our Label Studio platform and Data Creation Laboratory operations. In this role, you'll be the critical support system for delivery leads managing complex data projects for frontier AI labs and enterprise customers. You'll bridge technical operations and project execution, ensuring seamless delivery of the purpose-built datasets that power breakthrough AI applications. Our Data Creation Laboratories manufacture training data from scratch in controlled environments—this isn't traditional data labeling. The technical complexity of what we deliver demands operators who understand data architecture, can troubleshoot pipeline issues, and think systematically about how data flows from creation to customer delivery. If you have an engineering mindset and want to be hands-on in the most exciting space in AI, this role offers real impact. You Will: • Support delivery leads in executing high-stakes data projects from kickoff through delivery, • Monitor data pipelines and quality workflows, identifying bottlenecks and troubleshooting issues before they impact customers, • Coordinate across technical teams including engineering, quality control, and laboratory operations to ensure on-time delivery, • Help maintain project tracking systems, documentation, and delivery reporting, • Participate in technical discussions about data architecture, delivery workflows, and pipeline optimization, • Assist with onboarding new projects by setting up infrastructure, configuring tools, and ensuring technical readiness, • Support operational analytics by pulling data, building dashboards, and surfacing insights that improve delivery performance, • Act as a technical liaison between delivery teams and customers, helping translate requirements and address technical questions, • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, • 1-3 years of experience in operations, technical program management, or engineering roles, • Strong technical foundation with understanding of data pipelines, APIs, and system architecture, • Proficiency with SQL and ability to work with databases to analyze operational data, • Experience with project management tools and workflow systems (Jira, Asana, Notion, etc.), • Analytical mindset with attention to detail and ability to spot issues before they escalate, • Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders, • Bias toward action and problem-solving—you don't wait to be told what to do when you see something broken, • Experience with machine learning workflows or understanding of how training data impacts model performance, • Familiarity with Python or other scripting languages for automation, • Prior experience at a startup, tech company, or in data operations roles, • Knowledge of data annotation, labeling platforms, or quality control processes At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $45,000 to $85,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Payments Industry is a very exciting and fast-developing area with lot of new and innovative solutions coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area. If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you! In Ecosystem & Operational Risk (EOR) technology group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems. We are in search of inquisitive, creative, and skillful technologists to join our ranks. We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess strong machine learning background, with demonstrated leadership experience in driving technical architecture, design and delivery of products and services that have created business value and delivered impact within the payments or payments risk domain or similar industries. This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging business problems. You will be a key driver in the effort to define the shared strategic vision for the Payment Fraud Disruption platform and defining tools and services that safeguard Visa’s payment systems. Essential Function: • Leverage generative AI techniques to enhance fraud detection models, creating synthetic data for robust testing and model training., • Incorporate generative AI into the machine learning strategy to introduce novel fraud detection methods and improve predictive accuracy., • Utilize generative AI to simulate potential fraud scenarios, aiding in the development and refinement of fraud prevention solutions., • Implement generative AI tools to facilitate communication and alignment between technical teams and business stakeholders, ensuring a shared understanding of goals., • Define and drive the machine learning strategy for fraud prevention solutions., • Align ML initiatives with Visa’s broader business and technology objectives in the payments risk space., • Lead the design, development, testing, and deployment of ML/DL models to detect and prevent payment fraud., • Supervise model refresh cycles, experimentation, and continuous improvement., • Partner with product managers, engineers, and business stakeholders to ensure alignment between technical and business goals. Visa is not offering relocation assistance for this role Qualifications Basic Qualifications • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD, • Experience leading development, delivery and deployment of ML / DL models, feature engineering, model refresh, and experimentation., • Experience leading product development & delivery of AI/ML solutions, applied to real-world problems, • Experience leading design and development of mission-critical, secure, reliable systems, • Excellent understanding of algorithms and data structures, • Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint, • Strong experience with agile methodologies, • Excel in partnering with Product leaders and technical product managers on requirements workshops, helping define joint product/technology roadmaps & driving prioritization, • Experience driving continuous improvements to processes/tools for better developer efficiency and productivity, • Demonstrated ability to drive measurable improvements across engineering, delivery and performance metrics, • Demonstrated success in leading high performing, multi-disciplinary and geographically distributed engineering teams. Demonstrated ability to hire, develop and retain high-caliber talent, • Must demonstrate longer-term strategic thinking and staying abreast with latest technologies to assess what’s possible technically, • Strong collaboration and effective communication, with focus on win-win outcomes Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $214,500.00 to 343,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Visa is not offering relocation assistance for this role

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills

Job Description We are seeking an experienced Senior Cloud Developer with deep expertise in AWS infrastructure to join our high-performing team. This role requires a seasoned technologist who can architect, build, and deploy scalable, secure, and maintainable cloud-native applications in collaboration with cross-functional teams, including Product, Research, and Machine Learning. The ideal candidate will bring strong Infrastructure as Code (Terraform) skills, robust experience across a wide range of AWS services, and a commitment to secure, high-quality software development practices in regulated environments. This is a critical individual contributor role for someone who thrives in a fast-paced, startup environment and is passionate about driving innovation in cloud engineering. About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first objective mental health diagnostic on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided, and will enable access to treatment for millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. This is a great opportunity to shape the future of digital medicine and address unmet medical needs that affect billions of people worldwide. Responsibilities • Define, build, test, and deploy innovative cloud-native applications and services leveraging AWS infrastructure., • Partner with Product, Research, and Machine Learning teams in designing and delivering scalable solutions that meet internal and external needs., • Provide expert-level technical input on architecture, design, and implementation of high-quality cloud applications that excel in scalability, performance, and security., • Actively participate in the agile software development process to ensure timely and successful delivery of features., • Use best practices to deliver high-quality, maintainable, and secure code., • Design and implement Infrastructure as Code solutions using Terraform., • Build and manage CI/CD pipelines with Git and Buddy to streamline deployments., • Build, test, and optimize cloud-based features and services from design through production deployment., • Integrate secure, scalable APIs using AWS API Gateway, Lambda, and related services., • 10+ years of professional software development experience, with significant expertise building and deploying production-grade cloud applications on AWS., • Deep, hands-on expertise in AWS services: IAM, S3, Lambda, Containers (ECS/EKS), SQS, SNS, RDS, Cognito, API Gateway, and Route 53., • Proven history of successful production deployments and long-term operations in AWS environments., • Strong knowledge of AWS security best practices, IAM policies, and compliance in regulated environments (FDA, SEC, or equivalent)., • Expert-level experience with Infrastructure as Code (Terraform)., • Proficiency in Python and strong object-oriented/data structure fundamentals., • Experience with CI/CD tooling, ideally Buddy and Git-based workflows., • Familiarity with deploying and managing machine learning pipelines in AWS SageMaker., • Strong understanding of secure software development practices., • Ability to excel in a dynamic startup environment., • Strong analytical skills, excellent communication, and a collaborative IC mindset., • Willingness to adopt and experiment with emerging tools such as Claude Code to accelerate development., • Passion for staying constantly up to date with new technology as a personal mission., • Open, honest, and able to engage in constructive debate while accepting direction., • Creative thinker who enjoys solving complex challenges in a friendly environment., • Exposure to the healthcare industry and/or Software as a Medical Device is a plus Our Hiring Process • Phone screening, • Testlify Test, • Two interviews with Senseye manager and peers, • Final interview with David Zakariaie, Senseye CEO, • Offer Target timeline: • Begin interviews week of 11/15, • Aiming to make an offer by end of November ***The expected salary band for this position is $165,000-200,000 Benefits • The freedom and trust to define your role as we design, build, and ship our products, • Competitive salary and stock option plan, • Flexible paid time off (vacation, sick leave, and public holidays), • Flexible schedules, • Company health care plan, • Medical, dental, and vision insurance, • Short and long term disability insurance, • Life insurance policy, • 401k, • Commuter benefits for parking, public transit, carshares, etc., • Mothers' room, • Fully stocked kitchen, • Opportunities for continuing education Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Job DescriptionSkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. SkyGrid is seeking an Autonomy Engineer III to join our Advanced Air Mobility (AAM) R&D team to build the future of safe, efficient, and scalable Air Traffic Management (ATM) solutions. You will be responsible for taking autonomy concepts from early-stage ideas through prototyping and validation to establish system requirements. In this role, you will focus on maturing autonomy capabilities to support technology maturation through prototype development. You will collaborate with multidisciplinary teams, external partners, and customers. As an Autonomy Engineer III, you will be provided opportunities to establish yourself as an externally recognized leader for our technology. This position also involves occasional travel to support lab and flight test activities, and internal and industry demonstration events. Performance Objectives: • Develop, analyze, and evaluate enhancements to ground-based traffic surveillance solutions., • Demonstrate successful testing and simulation results for one or more autonomy capabilities., • Contribute to Technical Maturation Reports supporting progression towards Technology Readiness Level (TRL) 5., • Further mature capabilities beyond TRL 5 in concert with cross-functional teams such as software, product, and V&V., • Build strong and collaborative working relationships with cross-functional teams and external partners., • Ensure all developed code and models meet appropriate standards, for example DO-178C., • Support deployment for field tests or demonstrations., • Deliver multiple new functions and enhancements to SkyGrid services., • Ensure all software artifacts – including models, generated code, handwritten code, and test cases – comply with applicable standards (internal and external)., • Lead technical reviews of assigned functions or enhancements with stakeholders., • Engage with team members to learn and impart best practices to improve our organization. Responsibilities:, • Take autonomy concepts through iterative R&D prototyping, testing, and analysis to generate formal system requirements., • Implement algorithms using a variety of approaches with Simulink, C/C++, MATLAB, Python, and others as appropriate., • Prepare documentation and contribute to varying technical documents, particularly technology maturation reports., • Collaborate with internal teams to define functional and performance requirements for autonomy-based functions., • Collaborate with software engineers to design and develop integration interfaces within the overarching product codebase., • Participate in design reviews, Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) testing, live flight testing, and demonstration events., • Foster collaboration by engaging with external organizations, research institutions, and industry partners, as well as supporting technical publications and conference contributions. Qualifications:, • Minimum 6 years of experience in autonomy, control systems, robotics, or aerospace software development., • B.S. in Computer Science, Aerospace Engineering, Robotics, or related field., • Work experience in algorithm development or R&D for autonomous systems., • Experience with mathematical formulation of vehicle kinematics and dynamics, route planning, optimization, conflict detection and resolution algorithms, • Proficiency in software prototyping leveraging varied appropriate technologies such as Simulink, MATLAB, C/C++, and Python., • Strong understanding of networking principles and communication protocols., • Strong proficiency in authoring APIs, ICDs, and other technical documentation for software and hardware integration., • Familiarity with R&D of algorithms and functions that enable autonomous systems., • Development, integration, and testing in SIL/HIL simulation environments., • define the problem statement., • conduct state-of-the-art analysis., • analyze problems that are not clearly defined., • identify possible solutions., • Transportation networks., • Tactical or strategic conflict detection and resolution for air vehicles., • Flight planning., • Machine learning., • Resource optimization., • Advanced Air Mobility., • Bayesian or probabilistic modelling., • Control theory. Preferred Qualifications:, • M.S. or Ph.D. in Computer Science, Aerospace Engineering, Robotics, or related field — or equivalent industry experience., • Completion of MathWorks certified training in topics such as Simulink, Model-Based Design, and Embedded Coder., • Familiarity with aviation and air traffic management operations., • Familiarity with developing software in alignment with industry standards, such as DO-178C., • Experience developing software for Real-Time Operating Systems (RTOS)., • Experience contributing to evolving system and software requirements., • Strong interpersonal skills to work in a cross-functional team. Join Our Team and Enjoy Exceptional Benefits:, • Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options., • Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings., • Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources., • Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide., • Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development, • Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. Job Summary: Plume is seeking a hands-on, technically skilled Professional Services Engineer to implement Plume solutions for ISP customers. This role works directly with customers, partners, and cross-functional teams to configure, integrate, test, and validate solutions defined in the Statement of Work (SOW). The Professional Services Engineer also produces technical documentation, provides knowledge transfer and training, collaborates closely with Project Managers and Pre-Sales Architects, and ensures a smooth handoff to the Customer Success Team. The ideal candidate is a highly technical, customer-facing person that possesses deep problem-solving skills, excellent communication, and strong ownership of solution delivery. Primary Responsibilities: • Execute all technical components of the solution as defined in the SOW, • Configure, validate, and optimize Plume platform components for ISP deployments, • Integrate Plume solutions with customer systems including OSS/BSS, authentication, provisioning, and monitoring systems, • Conduct API-based integrations, data mapping, configuration scripting, and end-to-end functional validation, • Troubleshoot and resolve technical issues during installation, integration, and testing phases, • Serve as the primary technical resource during implementation, • Work directly with customer engineering, NOC, operations, and partner teams to ensure solution readiness and alignment, • Provide guidance and technical recommendations throughout the deployment lifecycle, • Communicate complex concepts clearly to technical and non-technical stakeholders, • Develop customer-specific implementation guides, configuration records, runbooks, and integration documentation, • Produce detailed as-built documentation for use by customers and internal teams, • Provide structured knowledge transfer sessions for customer technical teams, • Deliver light training on system operation, configuration workflows, and best practices, • Conduct system, integration, regression, and acceptance testing aligned to SOW requirements, • Validate end-to-end solution performance, data flows, and reliability prior to launch, • Create and execute test plans, tracking defects and ensuring resolution, • Ensure deployment quality meets or exceeds Plume standards, • Work with PreSales Architects to align solution design with implementation details, • Collaborate with Project/Program Managers on timelines, risks, issues, and technical dependencies, • Interface with Engineering, Support, and Customer Success teams for escalations, bug triage, or advanced troubleshooting, • Provide technical feedback to improve Plume's products, tools, and deployment processes, • Prepare all technical documentation required for Customer Success handoff, • Ensure customer environments are fully validated and stable before transition, • 5+ years of experience as a Professional Services Engineer, Implementation Engineer, Systems Engineer, Network Engineer, or similar technical role, • Strong technical skills with ISP environments including networking, Wi-Fi, routing, switching, cloud architecture, OSS/BSS, authentication, and provisioning systems, • Hands-on experience configuring and debugging network devices, CPE, or cloud-managed platforms, • Experience with APIs, JSON, scripting, and integration workflows, • Excellent communication and customer interaction skills, • Ability to produce detailed technical documentation and deliver training, • Wi-Fi and home network expertise, including wireless optimization and troubleshooting, • Experience with large-scale ISP deployments or partner ecosystem integrations., • Knowledge of Linux, command-line tooling, or automation frameworks, • Familiarity with cloud services, microservices, or distributed systems, • Experience with Plume's product ecosystem (OpenSync, HomePass, WorkPass, Haystack, etc.) is a strong plus, • High-quality, on-time technical implementation aligned with SOW requirements, • Clear and complete technical documentation delivered to customers and Customer Success, • High customer satisfaction with technical execution and knowledge transfer, • Low number of escalations during or after handoff, • Strong internal feedback from PreSales Architects, PMs, Engineering, and Customer Success An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting. #RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description The Artificial Intelligence and Machine Learning (AI/ML) Platforms team is building the next generation of scalable and responsible AI/ML infrastructure and services to power products that solve real-world consumer challenges. This role will collaborate cross-functionally with business leaders, data scientists, software engineers, AI/ML engineers, data engineers, and program managers, focusing on scaling AI/ML platforms with cloud and Generative AI capabilities and driving adoption of platforms that deliver measurable value across the payment ecosystem. Visa’s AI/ML models and products are integral to the global economy, playing a critical role in preventing fraud within the payments landscape and delivering significant value to internal and external clients. Our platforms enable hundreds of millions of dollars in revenue for Visa and safeguard billions of dollars in payment transactions. Essential Functions As a key member of the AI/ML Platform Product leadership team, this role drives the strategy, design, development, and adoption of Visa’s AI/ML platforms, including model training and experimentation environments, real-time inference platforms, and Generative AI solutions. You will lead cross-functional initiatives to deliver scalable, secure, and high-performing platforms across cloud and on-premises environments, enabling innovation and empowering teams globally. Platform Strategy • Define and execute the AI/ML platform NorthStar strategy and roadmap, ensuring alignment with Visa’s global data, AI/ML, and business objectives., • Partner with business and technology to develop a comprehensive plan for migrating AI/ML workloads to the cloud., • Monitor market trends, competitive dynamics, and client needs to guide platform evolution and long-term planning., • Lead cross-functional teams of product managers, engineers, and data scientists in a matrixed organization to translate customer needs into platform capabilities., • Directly manage a team of product managers; foster a culture of innovation, accountability, and operational excellence., • Own the product definition and delivery of Visa’s AI/ML stack across both cloud and on-premises environments., • Drive conceptualization, prototyping, and launch of AI-powered solutions at the intersection of payments and technology., • Build business cases for new AI/ML capabilities and continuously evolve platform features to meet practitioner needs., • Partner with business units, product leaders, and engineering teams to ensure alignment and flawless execution., • Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational KPIs)., • Apply hands-on expertise in designing cloud-native architectures and enterprise-scale applications on the cloud., • Lead backlog grooming and facilitate collaboration across product, engineering, and data science teams., • Ensure platform capabilities meet compliance, model risk management, and onboarding requirements. Basic Qualifications • 10+ years of professional experience with a bachelor’s degree, or 8+ years with an advanced degree (Master’s/MBA), or 8+ years with a PhD. Preferred Qualifications • 5+ years of people management experience., • Minimum 8 years in product management with a proven track record of delivering complex products in matrixed organizations., • Experience influencing senior stakeholders and driving consensus across complex organizations., • Proficiency in Agile methodologies and tools (JIRA, Confluence, Tableau). Experience in highly technical, fast-paced environments., • Deep expertise in AI/ML concepts, platforms, and tools, enabling the design and delivery of enterprise-grade solutions., • Hands-on experience with cloud-native AI/ML stacks and large-scale systems across AWS, GCP, and Azure., • Proficiency in data science, deep learning, GenAI, and big data technologies, driving innovation and scalability., • Strong knowledge of MLOps frameworks, CI/CD pipelines, containerization (Docker, Kubernetes), and model governance, ensuring operational excellence and compliance., • Strong ability to align AI/ML capabilities with strategic outcomes in financial services and payments., • Hands-on experience applying AI/ML to real-world challenges (fraud detection, credit risk, payment systems)., • Knowledge of regulatory compliance and data privacy in enterprise AI/ML contexts. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 186,800.00 to 301,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo’s comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending.What you'll be doing • Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo’s core business verticals., • Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making., • Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions., • Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo’s risk framework and regulatory requirements for fairness and transparency., • Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately., • Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration.You'll bring the following required skills and experiences, • 8+ years of experience in Data Science, Applied Science, or a related quantitative field., • Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement)., • Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets., • Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure).

Job DescriptionCompany Description IQ Business Group is a leading provider of enterprise information management, EIM, solutions to highly regulated industries and the public sector. Our core competencies include ECM, records management (RM), business process and customer experience management, information exchange, and the design and automation of discovery-related processes. Our subject matter experts (SMEs) and engineers combine industry intelligence with leading technologies to provide a broad range of services in strategy, operations, information technology (IT), systems engineering and integration, organization, change, and program management. Job Description Position Overview A government agency in Texas is seeking a highly skilled Senior Data Architect (Oracle / AWS / Cloud Modernization) to lead enterprise-level data modernization initiatives. This role is critical to transforming legacy Oracle systems into scalable, cloud-native data platforms, driving performance, security, and innovation across the agency’s IT landscape. The Data Architect will collaborate with cross-functional teams to design and implement modern data ecosystems that support enterprise transformation goals. This includes leading efforts in Oracle database optimization, AWS cloud architecture, DevOps-based CI/CD data pipelines, and enterprise data modeling. The ideal candidate brings a deep understanding of both traditional database environments and modern, modular cloud frameworks, with the ability to bridge technical execution and strategic vision. Professional Summary Highly experienced Senior Data Architect responsible for designing, implementing, and modernizing enterprise data ecosystems within a government agency in Texas. This role focuses on transforming legacy Oracle-based systems into scalable, cloud-native architectures on AWS, with an emphasis on performance optimization, data integrity, and high availability. Duties include developing enterprise data models, leading database administration and tuning for Oracle RAC environments, implementing Data Guard disaster recovery solutions, and enabling DevOps-based CI/CD processes for data operations. The position also supports strategic modernization efforts—integrating emerging technologies such as AI, machine learning, and big data analytics—to drive data-driven decision-making across the organization. Responsibilities • Lead design and implementation of enterprise data architecture aligned with agency modernization goals., • Oversee migration of legacy Oracle systems to cloud-native platforms (AWS)., • Administer and optimize Oracle databases including RAC configuration, Data Guard, and performance tuning., • Develop and maintain enterprise data models, data warehouses, and data lakes for analytics and reporting., • Implement database CI/CD processes within DevOps pipelines., • Ensure compliance with data governance, security, and privacy standards., • Collaborate with cross-functional teams to evaluate and integrate emerging technologies (AI, ML, Big Data)., • Support hybrid cloud deployments and on-prem-to-cloud migration roadmaps., • Provide technical leadership and mentorship within the architecture and development teams. Services are expected to start 11/24/2025 and are expected to complete by 08/31/2026. Total estimated hours per Candidate shall not exceed 1700 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing. Position will be 3 days remote with 2 days (Mondays and Thursdays) required to be onsite at the location listed above. Program will only accept LOCAL ONLY candidates for this position. 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. • 8 Years Required - Experience in data architecture, data modeling, and data warehousing., • 8 Years Required - Proficient in Oracle Database architecture, administration, and performance tuning, • 8 Years Required - Hands-on experience with Oracle RAC (Real Application Clusters) configuration and management, • 8 Years Required - Strong knowledge of data architecture principles and best practices., • 8 Years Required - Proficient in writing complex SQL, PL/SQL, procedures, and performance-optimized queries, • 8 Years Required - Strong knowledge of Oracle Data Guard and high availability/disaster recovery strategies, • 8 Years Required - Familiarity with cloud-native database services and PaaS offerings, • 8 Years Required - Experience in database backup, restore, and recovery operations using RMAN, • 8 Years Required - Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud., • 8 Years Required - Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting., • 8 Years Required - Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.8RequiredAbility to work in DevOps environments with CI/CD pipelines for database changes, • 8 Years Preferred - Experience transforming monolithic, on-premises data structures to microservice-aligned schemas, • 8 Years Preferred - Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps, • 8 Years Preferred - Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience., • 8 Years Preferred - Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization., • 8 Years Preferred - Customer-focused ability to communicate across all levels of the organization., • 8 Years - PreferredProactive Leadership style; self-starter and strong attention to detail., • Background check required per Texas law., • All deliverables are considered “works made for hire” and become property of the agency., • Interviews and discussions are not reimbursed. Additional Information The IQ Business Group is an EEO/AA employer. The IQBG conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, gender identity/expression, disability, citizenship status, genetics, or status as a Vietnam-era, special disabled and other covered veteran status.

Job Description At Tito’s Handmade Vodka, purpose and passion fuel everything we do, including how we build and protect the technology that keeps our business thriving. As our Vice President of Information Technology and Security, you’ll shape the digital backbone of an iconic brand. You’ll lead the charge to scale our systems, strengthen our security, and enable continued growth. This role will oversee enterprise systems, cybersecurity, and IT operations while guiding multiple software implementations and developing a forward-looking technology roadmap. Partnering with senior leadership, you’ll align our technology strategy with business goals, foster a culture of innovation and accountability, and help Tito’s do good, grow strong, and stay connected in every way that matters. Your core responsibilities will include: Strategic Leadership • Develop and execute an IT strategy that aligns technology initiatives with business objectives, driving innovation and scalable growth., • Oversee enterprise-wide systems, data, reporting, and cybersecurity programs that enhance efficiency and security., • Partner with executive leadership to modernize systems, evaluate emerging technologies, and guide strategic investments., • Lead and optimize the organization’s ERP systems, driving continuous improvement and system enhancements., • Strengthen production planning, inventory management, and financial reporting through deep ERP expertise and sound data governance., • Streamline workflows and cross-functional processes to improve utilization and operational efficiency., • Direct enterprise technology operations, ensuring reliable infrastructure performance across internal teams and managed service providers., • Lead governance frameworks that align IT initiatives with business priorities and enhance service delivery., • Oversee the Microsoft ecosystem, including data platforms, cloud environments, cybersecurity tools, and vendor partnerships to ensure resilience and cost efficiency., • In partnership with other team members, lead the development, implementation, and continuous improvement of the company’s cybersecurity program., • Maintain strong governance through updated policies, procedures, and audit frameworks that safeguard systems and brand trust., • Oversee implementation of security controls, data protection initiatives, and incident response processes., • Conduct risk assessments and audits to ensure compliance with frameworks and regulations (e.g., GDPR, HIPAA, ISO 27001, NIST)., • Build and mentor a high-performing IT and security team that values collaboration, innovation, and continuous improvement., • Champion a culture where technology and security are integral to Tito’s mission and success., • Build cross-departmental trust, ensuring IT and security initiatives are tightly aligned with company priorities., • Evaluate and recommend strategic technologies — including AI, cloud computing, and IoT — that drive business performance and enhance customer experience., • Bachelor’s Degree in Computer Science, Information Technology, Cybersecurity, or related field; Master’s degree preferred., • One or more of the following certifications preferred: CISSP, CISM, CISA, ITIL, PMP, or equivalent., • Experience:, • 10+ years of progressive IT leadership, including 5+ years in a senior executive role., • 5+ years managing ERP system solutions., • Proven success leading IT strategy, digital transformation, and cybersecurity programs., • Experience managing enterprise-scale projects, budgets, and cross-functional teams., • Expertise in Microsoft 365 and Azure, including Power Platform, Fabric, Identity, Security & Compliance, and Active Directory., • Experience collaborating with Microsoft Partner providers to leverage secure, innovative solutions., • Deep understanding of IT infrastructure, cloud computing, enterprise software, and cybersecurity frameworks., • Familiarity with modern technologies such as AI, machine learning, and DevOps., • Strong grasp of regulatory compliance (e.g., GDPR, CCPA, PCI-DSS)., • Exceptional leadership, communication, and strategic problem-solving skills., • Ability to thrive in a fast-paced, evolving environment. Benefits • Medical, Dental & Vision Insurance, • Company Paid Life & Disability Insurance, • Voluntary Insurance Plans, • 401 (k) plan with company match, profit sharing, • Vacation, Sick, Flex Time, • Paid Parental Leave, • Adoption Assistance Program, • Dependent Care Flexible Spending Account, • Health Savings Account, • Lifestyle Spending Account, • Financial Wellness Benefit, • Employee Assistance Program Equal Opportunity Employer Fifth Generation, Inc.

Job DescriptionSaronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Summary: As a Mission Operations Engineer, you will be hands-on with the deployment, validation, and iterative improvement of large (100+ft) autonomous surface vessels. Your work will directly support both project-based deliverables (e.g., capability rollouts) and ongoing programs (e.g., V1 software release). You will help ensure our systems meet rigorous technical and operational standards through detailed testing, data analysis, and cross-functional coordination. You are able to meet deadlines and achieve desired outcomes as both an individual contributor and as a part of your teamResponsibilities • How you support the mission, • Develop deep understanding of vehicle HW and SW architecture, and how the vehicle operates as a integrated system., • Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities., • Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events., • Implement solutions for testing, safety of vessel operations, and system robustness to maximize efficiency., • Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis., • Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues., • Maintain autonomous vessels and test environments, including vessel and support craft operations, through the use of telemetry tools and onboard diagnostics to enhance reliability of all equipment and products., • Ensure testing aligns with DoD performance, compliance, and safety standards when applicable., • How you support the team, • Lead planning and execution of test cases to validate software updates, autonomy behaviors, and integrated system functionality., • Interface with autonomy, software, hardware, and systems teams to translate product requirements into field-validated test objectives., • Foster a collaborative and positive team environment, promoting open communication, knowledge sharing, and continuous improvement., • Develop test procedures, checklists, and safety protocols to support repeatable and safe vessel operation and overall mission execution while eliminating process waste., • Create post-mission reports with detailed logs, data plots, issue summaries, and engineering feedback.Qualifications, • Basic Qualifications, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • 1+ years of hands-on engineering experience (design teams and previous internships qualify), • Preferred Qualifications, • 2-3+ years of hands-on experience in heavy industry environments, such as launch vehicles, ships, or heavy equipment, requiring cross-disciplinary understanding of mechanical, electrical, fluid and software components., • Strong problem-solving and troubleshooting skills (HW/SW) and ability to work effectively in challenging field conditions such as off-shore in open water for an extended duration (i.e. 30-45 days), • Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems, • Knowledge of networking protocols and communication systems used in autonomous vessels, • Systems engineering experience, ability to understand multi-disciplinary integrated systems, • Experience with sensor integration such as EO/IR, radar, lidar, IMU, and data processing, • Experience with integration and testing of multi-disciplinary integrated systems, • Experience with maritime operations and seamanship, including vessel navigation, COLREGs compliance, watchstanding (deck or mission console for 24/7 operations), small boat handling, launch and recovery procedures, and coordination with bridge and deck crews during shipboard operations, • Experience with robotics, AI, or machine learning applications, • Familiarity with software development in Rust, Python, or other languages and CLI environment, • Understanding of DoD requirements and standards for autonomous systems, • Experience working with embedded systems and real-time computing, • STCW Basic Safety Training (or willingness to complete), TWIC (if required), current marine medical certificate, and valid passport, • Must be able to pass a background check and USCG/DOT drug testing, • Security clearance eligibility, • Job requires up to 50% travel.Physical Demands, • Ability to certify as “fit for work” by demonstrating ability to swim and tread water, • Frequently and repetitively, lift, push and carry up to 75 lbs., • Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods, • Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues, • Ability to perform physically demanding work for extended periods of time, up to 12 hours/day, • The ability to carry 20 lbs. up and down stairs Benefits, • Medical Insurance: Comprehensive health insurance plans covering a range of services, • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care, • Saronic pays 100% of the premium for employees and 80% for dependents, • Time Off: Generous PTO and Holidays, • Parental Leave: Paid maternity and paternity leave to support new parents, • Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses, • Retirement Plan: 401(k) plan, • Stock Options: Equity options to give employees a stake in the company’s success, • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

Job DescriptionSaronic Technologies is a leader in revolutionizing defense autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations for the Department of Defense (DoD) through autonomous and intelligent platforms. Job Summary As a Mission Operations Engineer, you will be hands-on with the deployment, validation, and iterative improvement of our autonomous surface vessels. Your work will directly support both project-based deliverables (e.g., capability rollouts) and ongoing programs (e.g., V1 software release). You will help ensure our systems meet rigorous technical and operational standards through detailed testing, data analysis, and cross-functional coordination. You are able to meet deadlines and achieve desired outcomes as both an individual contributor and as a part of your team. Responsibilities • How you support the mission, • Develop deep understanding of vehicle HW and SW architecture, and how the vehicle operates as a integrated system., • Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities., • Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events., • Implement solutions for testing, safety of vessel operations, and system robustness to maximize efficiency., • Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis., • Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues., • Maintain autonomous vessels and test environments, including vessel and support craft operations, through the use of telemetry tools and onboard diagnostics to enhance reliability of all equipment and products., • Ensure testing aligns with DoD performance, compliance, and safety standards when applicable., • How you support the team, • Lead planning and execution of test cases to validate software updates, autonomy behaviors, and integrated system functionality., • Interface with autonomy, software, hardware, and systems teams to translate product requirements into field-validated test objectives., • Foster a collaborative and positive team environment, promoting open communication, knowledge sharing, and continuous improvement., • Develop test procedures, checklists, and safety protocols to support repeatable and safe vessel operation and overall mission execution while eliminating process waste., • Create post-mission reports with detailed logs, data plots, issue summaries, and engineering feedback.Qualifications, • Basic Qualifications, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • 1+ years of hands-on engineering experience (design teams and previous internships qualify), • Preferred Qualifications, • Strong problem-solving and troubleshooting skills (HW/SW) and ability to work effectively in challenging field conditions such as off-shore in open water, • Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems, • Knowledge of networking protocols and communication systems used in autonomous vessels, • Systems engineering experience, ability to understand multi-disciplinary integrated systems, • Experience with sensor integration such as EO/IR, radar, IMU, and data processing, • Experience with integration and testing of multi-disciplinary integrated systems, • Experience with robotics, AI, or machine learning applications, • Familiarity with software development in Rust, Python, or other languages and CLI environment, • Familiarity with maritime operations, • Understanding of DoD requirements and standards for autonomous systems, • Experience working with embedded systems and real-time computing, • Job requires up to 50% travel.Physical Demands, • Ability to certify as “fit for work” by demonstrating ability to swim and tread water, • Frequently and repetitively, lift, push and carry up to 75 lbs., • Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods, • Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues, • Ability to perform physically demanding work for extended periods of time, up to 12 hours/day, • The ability to carry 20 lbs. up and down stairs Benefits, • Medical Insurance: Comprehensive health insurance plans covering a range of services, • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care, • Saronic pays 100% of the premium for employees and 80% for dependents, • Time Off: Generous PTO and Holidays, • Parental Leave: Paid maternity and paternity leave to support new parents, • Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses, • Retirement Plan: 401(k) plan, • Stock Options: Equity options to give employees a stake in the company’s success, • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. Staff Customer Solutions Engineer Plume is seeking an experienced and highly motivated Staff Customer Solutions Engineer to join our dynamic team. As a key technical advisor, you'll work directly with Internet Service Providers (ISPs), acting as the bridge between their business needs and our cutting-edge solutions. You'll play a crucial role in the sales process, from initial discovery to successful deployment, ensuring our partners achieve maximum value from our products. This is a fantastic opportunity for a technically adept individual with a passion for networking, cloud, and AI who thrives in a customer-facing role. Primary Responsibilities • Technical Trusted Advisor: Engage with ISPs to deeply understand their technical and business requirements, and then effectively demonstrate how Plume's solutions can meet and exceed those needs., • Product Demos & Trials: Conduct compelling product demonstrations and manage complex proof-of-concept (PoC) and field trials, showcasing the tangible benefits of Plume's technology., • System Integration: Collaborate with our internal Customer Engineering, Product Management, and Operational teams to understand and deliver Plume's solutions within a customer's ecosystem. You'll work to integrate our solutions into their existing BSS/OSS, CRM, ticketing, and AI platforms using APIs and other integration methods., • Sales Enablement: Work closely with the sales organization to drive revenue, achieve sales quotas, and contribute to the overall growth of the business., • Presentations & Events: Prepare and deliver high-impact presentations, including Quarterly Business Reviews (QBRs), and represent Plume at industry events and conferences., • Product Development Input: Provide valuable feedback to our product and engineering teams based on customer requirements and market trends, helping to inform the development of new features and solutions., • Technical Support: Offer prompt local and remote technical support for PoCs, lab trials, and deployment ramp-ups, ensuring a smooth and successful customer journey., • Industry Expertise: Continuously research and stay up-to-date on the latest industry standards and emerging technologies in networking, cloud architectures, and AI.Experience & Qualifications, • Hands-on Technical Experience: Strong hands-on experience in the configuration and deployment of software and hardware, including Wi-Fi, networking equipment, and cloud services. A fundamental understanding of cloud architectures and AI principles is essential. Deep understanding and knowledge of Residential and SMB Gateways is a big plus., • ISP SaaS Experience: Proven experience working with ISPs to deploy large-scale SaaS network solutions to millions of endpoints., • Communication & Collaboration: A track record of developing and maintaining professional, cooperative relationships with all levels of staff and customers., • Networking & Cloud Certifications: Relevant certifications such as CWNA, CCNA, or AWS Solutions Architect are highly preferred., • Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in a fast-paced environment.Qualification Requirements, • Experience: 5+ years of related experience working with network, security, SaaS, and/or AI industries., • Education: A BS/BA degree in a relevant field or equivalent work experience., • Industry Knowledge: In-depth industry knowledge and a strong understanding of SDN and wireless technologies, solutions, and product offerings are preferred., • Communication Skills: Advanced written and oral communication skills. An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting. #RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionSkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. SkyGrid is seeking an Autonomy Engineer II to help develop cutting-edge solutions for airspace automation. This role will focus on designing and implementing autonomy functions to enable safe, scalable Advanced Air Mobility (AAM) operations and enhance Air Traffic Management (ATM). This position will contribute to refining SkyGrid’s autonomy architecture, translating high-level technology concepts into working prototypes to support real-time decision-making, conflict detection and resolution (CD&R), collaborative traffic management, and adaptive mission planning in complex airspace environments. This is a hybrid position based in Austin, TX, reporting to the Principal Airspace Automation Manager. Performance Objectives: • Utilize product design requirements and operational use-cases to develop functional architecture and preliminary algorithm., • Progress service to Technical Readiness Level (TRL) 2 (conceptual development) and TRL 3 (prototype)., • Conduct unit and integration testing (TRL 4/5) and document a minimum viable product version of the service., • Enhance the service capability and work with software engineers to transition service to high fidelity production environments (TRL 6/7)., • Update concepts, use cases, and engineering artifacts based on technology maturation. Responsibilities:, • Lead the end-to-end development of autonomous air traffic management functions—from concept to prototype., • Collaborate with product and systems engineers to define functional and performance requirements for autonomy-based functions., • Collaborate with software engineers to design and develop integration interfaces within the overarching product codebase., • Specify and execute Software-in-the-Loop (SIL) testing to validate autonomy functions and generate relevant test result artifacts., • Drive innovation by brainstorming and developing novel autonomy solutions, contributing to research and development efforts in autonomous airspace management., • Foster collaboration by engaging with external organizations, research institutions, and industry partners, as well as supporting technical publications and conference contributions. Qualifications:, • B.S. in Computer Science, Aerospace Engineering, Robotics, or related field., • Minimum of 3 years of autonomy engineering experience, with a strong focus on concept-to-prototype development., • Work experience in algorithm development or R&D for autonomous systems., • Programming Languages: Python, C/C++., • Familiarity with R&D of algorithms and functions that enable autonomous systems., • Development, integration, and testing in SIL simulation environment., • Experience in air traffic management research and development., • Experience with mathematical formulation of vehicle kinematics/dynamics, route planning, optimization, conflict detection and resolution algorithms, • Translation of advanced algorithms and mathematical concepts into clean, working code., • define the problem statement, • conduct state of the art analysis, • analyze problems that are not clearly defined, • identify possible solutions, • adapt solution scope to fit timelines Preferred Qualifications:, • M.S. or Ph.D. in Computer Science, Aerospace Engineering, Robotics, or related field., • Familiarity with aviation and air traffic management operations., • Experience in R&D and functional development in one or more of the following areas:, • Transportation networks, • Tactical or strategic conflict detection and resolution for air vehicles, • Flight Planning, • Machine Learning, • Resource optimization, • Advanced Air Mobility, • Bayesian or probabilistic modelling, • Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options., • Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings., • Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources., • Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide., • Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development, • Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.

Job DescriptionSkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. The SkyGrid team is seeking a talented Airspace Integration Engineer with a background in developing aviation human-machine systems interfaces to support SkyGrid’s mission to enable the airspace integration of emerging aircraft operations worldwide. This role will play a critical part in developing human-systems interfaces for ground-based automation systems that will be used by aircraft operators and air traffic controllers to support high-density, low-altitude operations in airspaces worldwide. This is a hybrid position based in Austin, TX and will report to the Airspace Integration Manager within SkyGrid’s Research and Development (R&D) organization. Performance Objectives: • Contribute to the design of novel user interfaces for SkyGrid’s operator-facing services., • Assess, track, and document the Human Readiness Level (HRL) of in-development SkyGrid products., • Collaborate with other Human Factors and User Experience specialists to translate customer needs into actionable work items that drive user-interface development., • Coordinate human-in-the-loop test plans for SkyGrid’s ground-based automation systems supporting the airspace integration of Advanced Air Mobility (AAM)., • Identify and document design philosophy for novel user interfaces based on human factors principles. Responsibilities:, • Collaborate with other Human Factors and User Experience engineers at SkyGrid to design innovative user interfaces for Advanced Air Mobility (AAM) traffic management systems., • Create low-fidelity wireframes to explore and validate workflows, information hierarchy, and interaction patterns early in the design process., • Create high-fidelity UI designs that accurately represent the final visual design for implementation in software., • Coordinate human-in-the-loop tests for ground-based automation systems supporting the airspace integration of AAM., • Monitor and analyze trends in the design of user interfaces for AAM traffic management tools. Qualifications:, • Bachelor's degree or higher in Human Factors, UI/UX Design, Aerospace Engineering, or related field., • Minimum of 6 years of related experience in aerospace/flight operations., • Experience designing user interfaces for aviation applications., • Working knowledge of FAA and MIL-STD human factors design standards., • Proficiency with industry-standard design tools (e.g., Figma)., • Familiarity with UX design systems., • Experience conducting user research and task analyses., • Experience evaluating human performance and user experience using both qualitative and quantitative methods., • Familiarity with user-facing systems used for air traffic management., • Experience designing user interfaces for certified aviation products, such as flight deck displays and crew alerting systems. Join Our Team and Enjoy Exceptional Benefits:, • Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options., • Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings., • Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources., • Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide., • Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development, • Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.

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

Job Description Senseye is seeking a Director of Machine Learning to lead the design, deployment, and evolution of our ML systems powering the world’s first objective mental health diagnostics platform. This role is both strategic and hands-on: you’ll define the vision and processes for our ML organization while also contributing directly to model development, experimentation, and deployment. You’ll lead a small but growing team of ML engineers and scientists working at the intersection of computer vision, time-series analysis, and cognitive neuroscience. You’ll establish best practices for reproducibility, evaluation, and experimentation — transforming research concepts into robust, clinically validated production systems. You’ll work closely with leadership to define roadmaps, resource needs, and decision frameworks that are grounded in data and operational transparency. This role is ideal for a technical leader who thrives in ambiguous, high-stakes environments, enjoys building teams and systems from the ground up, and wants to directly influence how ML is used to transform mental health diagnostics. Responsibilities • Own and drive the ML technical roadmap, balancing short-term delivery with long-term research and infrastructure investments., • Design, develop, and deploy models for computer vision and time-series applications (e.g., semantic segmentation, point-of-gaze tracking, keypoint detection, photoplethysmography, MAMBA, dilated 1D CNNs, sparse attention transformers)., • Lead and mentor a small, high-performing team of ML engineers and scientists; establish technical rigor, code quality, and experimentation culture., • Implement reproducible ML processes — from dataset versioning and model tracking (e.g., Weights & Biases) to GPU scheduling, experiment orchestration, and results documentation., • Develop and enforce objective evaluation frameworks to assess model performance and reliability across development and production environments., • Build transparency and accountability through clear reporting of model metrics, data quality, and production outcomes to both technical and executive audiences., • Collaborate cross-functionally with product, clinical, and platform teams to align ML outputs with product goals, user impact, and regulatory requirements., • Guide operational planning for ML compute resources, infrastructure scaling, and data pipeline optimization., • Translate ambiguous problems into clear ML problem statements, balancing technical feasibility, scientific value, and business impact., • Stay ahead of emerging research and tools, integrating new approaches thoughtfully when they advance clinical accuracy, scalability, or efficiency. Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first objective mental health diagnostic on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided, and will enable access to treatment for millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. This is a great opportunity to shape the future of digital medicine and address unmet medical needs that affect billions of people worldwide. Hiring Process Our interview process is designed to evaluate both your technical depth and your fit as a collaborative leader within our mission-driven team. • Initial Phone Screening – A short introductory conversation to discuss your background, interests, and alignment with Senseye’s mission and the Director of ML role., • Brief Online Technical Assessment – A quick, focused evaluation consisting of a few ML-specific questions to help us understand your problem-solving approach and foundational understanding., • Technical Interviews – Two back-to-back interviews, each with two interviewers, covering your technical expertise, applied ML experience, leadership approach, and ability to reason through practical challenges., • Advisor Interview – A discussion with one of Senseye’s ML Advisors, focusing on your depth of understanding in machine learning systems, experimentation rigor, and how you approach the frontier of applied AI research. Requirements • 7+ years of applied ML experience, including at least 2+ years in a leadership or staff-level role., • Proven success deploying ML models to production and maintaining their performance over time., • Expertise in computer vision and/or time-series modeling, ideally within video, camera-based, or biosignal contexts., • Strong foundation in statistical modeling and signal extraction from noisy data., • Proficiency in Python and at least one major deep learning framework (PyTorch, JAX, TensorFlow)., • Experience building ML systems in healthcare or regulated environments, with understanding of validation, auditability, and compliance processes., • Demonstrated ability to define and communicate objective metrics, build dashboards or reports, and translate results for technical and non-technical audiences., • Familiarity with MLOps tooling (e.g., Weights & Biases, MLflow), experiment tracking, and infrastructure management., • Strong organizational and planning skills — able to manage GPU resources, schedule experiments efficiently, and prioritize workloads across the team., • Exceptional written and verbal communication skills, with a focus on clarity, transparency, and collaboration.Extra Points, • Experience leading ML teams in production settings, including roadmap development and hiring., • Experience integrating ML within SaMD or clinical research pipelines., • Track record of adapting cutting-edge research into production-ready methods., • Contributions to open-source ML frameworks or published research., • Experience with probabilistic modeling or Bayesian inference., • The salary for this position will be between $200,000 and $300,000 a year depending on if the candidate meets all of the requirements as well as the items listed under extra points, • The freedom and trust to define your role as we design, build, and ship our products, • Competitive salary and stock option plan, • Flexible paid time off (vacation, sick leave, and public holidays), • Flexible schedules, • Company health care plan, • Medical, dental, and vision insurance, • Short and long term disability insurance, • Life insurance policy, • 401k, • Commuter benefits for parking, public transit, carshares, etc., • Mothers' room, • Fully stocked kitchen, • Opportunities for continuing education Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Job Description Requirements: • 4 or more years of experience in Microsoft Sentinel SIEM and SOAR development., • Proficiency in Kusto Query Language for advanced analytics and threat hunting., • Experience in Azure Logic Apps and Azure Functions for security automation., • Experience with Python and PowerShell for custom module and script development., • Experience in GitHub or Azure DevOps pipelines for detection-as-code deployments., • Experience with User and Entity Behavior Analytics and anomaly detection modeling., • Excellent verbal and written communication skills. Responsibilities: • Design and deploy automated security playbooks using Azure Logic Apps and REST APIs., • Construct custom detection rules and machine learning-based behavioral models., • Implement data connectors and ingestion pipelines with complex normalization logic., • Integrate security platforms with EDR, IAM, and enterprise ticketing systems., • Develop microservices and helper APIs to support automated security operations., • Optimize system performance to align with Zero Trust and MITRE ATT&CK frameworks., • Write technical architecture diagrams and automated response runbooks.Company DescriptionEstablished in 2004, Smart Tech Skills is a leading technology and professional services organization focusing on cutting-edge technologies. The company, headquartered in Marlborough, MA, effectively meets clients’ technology needs nationwide, simplifying the management of advanced technology.Established in 2004, Smart Tech Skills is a leading technology and professional services organization focusing on cutting-edge technologies. \r\n\r\nThe company, headquartered in Marlborough, MA, effectively meets clients’ technology needs nationwide, simplifying the management of advanced technology.

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is building the world's first dedicated data creation labs—facilities where expert annotators, domain specialists, and AI trainers create the highest-quality training data in the industry. We're hiring an AI Trainer Onboarding and Support Specialist to be the first point of contact for our growing community of AI trainers. You'll help new trainers get started, answer their questions, resolve issues quickly, and make sure everyone has what they need to do their best work. This role is all about people. You'll be the friendly voice (or message) that helps someone navigate their first annotation task, troubleshoot a technical issue, or understand their payment. You'll work across time zones to support a global workforce, and you'll play a key role in making HumanSignal a place where talented people want to contribute. If you're someone who genuinely enjoys helping people, thrives on solving problems, and wants to be part of building something new, we'd love to hear from you. You will: • Respond to support tickets from AI trainers across multiple channels—email, chat, and internal platforms, • Guide new trainers through onboarding: answering questions, troubleshooting setup issues, and helping them get started on their first tasks, • Handle questions about payments, scheduling, task assignments, platform navigation, and general policies, • Troubleshoot technical issues and escalate complex problems to the right teams, • Create and maintain help documentation, FAQs, and onboarding materials based on common questions, • Track support metrics and identify patterns that can improve the trainer experience, • Work closely with operations and product teams to communicate trainer feedback and help improve our systems, • Maintain a fixed schedule that may include night or weekend shifts to support trainers across time zones, • 2+ years of experience in customer support, onboarding, or community management roles, • Genuine passion for helping people and solving their problems, • Excellent written communication skills—you're clear, friendly, and empathetic, • Strong problem-solving skills and the ability to think on your feet, • Comfort with technology and the ability to learn new tools quickly, • High attention to detail and organizational skills, • Ability to work a fixed schedule, including potential night or weekend shifts, • Experience working independently and managing your own workload, • Experience supporting remote or distributed workforces, • Familiarity with support ticketing systems (Zendesk, Intercom, etc.), • Background in data annotation, AI/ML, or tech platforms, • Multilingual capabilities, especially Spanish, Portuguese, or other widely spoken languages, • Experience creating help documentation or training materials The base salary range for this full-time position is $60,000–$80,000 USD, plus benefits. This role is open to candidates internationally. Final compensation will be determined by experience, skills, location, and interview performance. About HumanSignal: HumanSignal is on a mission to make AI work for everyone. We build open-source tools and enterprise solutions that help teams create, manage, and improve the training data that powers AI. Our products—including Label Studio—are used by thousands of companies worldwide, from startups to Fortune 500 enterprises. We're a remote-first company that values impact, ownership, and creativity. We believe the best work happens when people bring their full selves to the table, and we're committed to building an inclusive team that reflects the diversity of the world we're building for. HumanSignal is an equal opportunity employer. We're committed to building a diverse and inclusive workplace, and we don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. If you need accommodations during the hiring process, please let us know.

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. Senior Technical Account Manager - US, Remote Overview This is a technical advisory role, providing support to Plume's larger ISP customers and their technical teams. Working alongside a Customer Success Manager, you will be working alongside our customers as they leverage our cloud based services in conjunction with CPE integrated with local agents.. This is a high-impact, customer-facing role with strong growth potential and will put your technical, analytical, organizational and customer skills to the test. The role also spans project/account management, feature design, implementation coordination, and process definition. You'll be responsible for developing and maintaining deep expertise in customers' systems and processes as they relate to the Plume platform. As a Senior Technical Account Manager you will serve as the primary technical point of contact—triaging issues, helping define new feature requirements, coordinating cross-functional teams, and representing key platform components such as Plume's cloud services, APIs, data and firmware integrations. Your goal: ensure successful deployment, support, and customer satisfaction. Responsibilities: • Work closely with Plume's Internet Service Providers customers, and their technical teams to understand technical issues and coordinate resolution within Plume., • Provide both strategic and day-to-day technical expertise and support for assigned accounts., • Collaborate closely with Plume's product management and engineering functions., • Solve complex scale, integration, and architectural problems., • Act as the technical liaison between Plume and third-party vendors such as ODMs, chipset vendors, and software partners., • Identify Platform API product enhancement opportunities based on support trends., • Provide post-sales technical support and guidance for Platform API users., • Respond to setup-related and how-to questions from Platform API users., • Lead diagnosis, troubleshooting, and in-depth testing of difficult-to-reproduce issues., • Facilitate cross-functional customer experience review sessions with Product and Engineering., • Offer clear, actionable recommendations for product improvements and help prioritize them., • Collaborate on defining requirements and driving the development and deployment of new features., • Help create processes and documentation for the TAM team, • Serve as a Subject Matter Expert for the Plume platform., • Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field., • Strong experience in a client-facing technical role with an emphasis on high-quality documentation., • Experience working on cloud applications and supporting REST APIs., • Passion for solving problems and advocating for customer success in a dynamic, technical environment., • Ability to learn new technologies quickly, • Excellent customer service and communication skills in variety of forms (written, conference calls, in-person), • Proven ability to work independently and collaboratively., • Effective team player with strong verbal and written technical communication., • Hands-on experience managing projects involving Gateway and CPE devices., • Skilled in triaging issues and managing communication across multi-vendor technical and product teams., • In-depth understanding of cloud computing architecture including IaaS, PaaS, and SaaS delivery models., • Knowledgeable in LAN/WAN technologies, including switching and routing., • Understanding of cloud technology components such as virtualization, networking, applications, and APIs., • Deep understanding of wireless technologies and 802.11 WIFI standards.., • Experience using Jira, Confluence, Slack for managing technical projects., • Strong understanding of algorithms, data structures, object-oriented programming, and embedded systems., • CCNA/CCNP, CWNA/CWSP or similar, • AWS Certified Solutions Architect, • PMP (Project Management Professional) An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting. #RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job DescriptionWe’re changing the way people connect to social care. At Findhelp, we’ve built a comprehensive platform of products and services that make it easy for you to connect people to resources, follow them on their journey, and track your impact in a fast and reliable way. Our industry-leading social care network includes more than half a million local, state, and national programs that serve every ZIP Code in the country, from rural areas to major metropolitan centers. Findhelp is headquartered in Austin, Texas and has been enabling healthcare, government, education, and other organizations to connect people with the social care resources that serve them, with privacy and security, since 2010. As a mission driven organization, we are focused on creating a positive impact by connecting people in need to the programs that serve them with dignity and ease. Powered by our proprietary technology that enables people to find the resources available in their area, we have helped millions of Seekers find food, health, housing and employment programs. At Findhelp, we believe everyone deserves access to the help they need, with dignity and ease. As a Senior Staff AI/ML Engineer, you will help shape the future of social care in America through the responsible application of cutting-edge AI. This is more than just a technical position. It’s an opportunity to turn advanced machine learning into real-world impact, improving access to essential services for families, care providers, and entire communities. You’ll lead the development of production-ready AI solutions while laying the foundation for an AI-first culture across Findhelp. Your work will not only define our company-wide AI strategy but also leave a lasting legacy on how millions experience care.Responsibilities and Duties: • Lead transformative AI initiatives that directly address customer pain points, improve access to social care, and instill an AI-first mindset across the organization., • Partner with internal and external stakeholders to identify opportunities for scalable AI adoption., • Act as a force multiplier by building production-ready AI/ML solutions that deliver measurable value to our users, and then mentoring teams across the company to independently explore and implement AI solutions., • Define and build scalable AI/ML infrastructure and tools that enable rapid experimentation, streamline development, and reduce barriers to company-wide AI innovation., • Establish and enforce responsible AI guidelines ensuring fairness, transparency, privacy, security, and explainability in everything we deploy., • Collaborate with external vendors and research partners to evaluate tools, models, and technologies that meet evolving business needs., • Support go-to-market efforts by working with analytics, and sales teams to communicate the impact and ROI of AI-powered features., • Translate emerging AI trends into actionable strategy, architectural guidance, and internal enablement to keep findhelp at the forefront of innovation in social care technology.Qualifications:, • Master’s degree (or higher) in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field., • 8+ years of experience building production-ready AI/ML solutions optimized for performance, scalability, and responsible AI principles., • Hands-on experience with large language models (LLMs), including open-source and commercial offerings, and advanced prompt engineering., • Expertise in model optimization techniques such as retrieval-augmented generation (RAG), fine-tuning, reinforcement learning, and pre-training., • Familiarity with agentic AI patterns, multi-agent systems (including control patterns), and orchestration frameworks (e.g., LangChain, LangGraph) is a strong plus., • Strong background in NLP, supervised learning, and deep learning, with a record of deploying impactful AI/ML solutions at scale., • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Huggingface., • Experience deploying AI/ML systems on cloud platforms, ideally GCP, with a strong understanding of performance, scalability, reliability, and maintainability trade-offs., • Deep understanding of modern software architecture, engineering best practices, and safeguards needed for scalable and secure AI systems., • Working knowledge of modern web development technologies to effectively collaborate with engineering teams and deploy AI solutions in production environments., • Familiarity with regulated domains such as healthcare or social care is a plus., • Demonstrated passion for responsible AI, including principles of fairness, transparency, privacy, ethical use, and explainability., • Exceptional communication and collaboration skills, with the ability to align cross-functional teams and drive company-wide impact., • Experience building from the ground up in fast-paced, high-growth environments, laying foundations, setting best practices, and scaling both people and technology.

Job Description Lead Robotics Engineer – Own the Autonomy Stack for Next-Gen Tactical Robotics! Austin, TX | Onsite Opportunity Summary A pre-seed, well-funded startup is building autonomous ground robotic systems designed to counter emerging drone and aerial threats for national security applications. With an active prototype already in place, a brand-new lab, and regular field testing, the team is moving quickly from concept to operational capability. As the Lead Robotics Engineer, you will partner directly with the CTO to own development of the full autonomy stack. This role spans firmware, perception, control systems, and sensor integration, giving you broad technical ownership and the opportunity to see your work tested in real-world conditions. You’ll help shape the system architecture, define product direction, and play a pivotal role in turning advanced robotics into deployed counter-UAS capabilities. About Us We are a fast-moving robotics startup focused on counter-drone (C-UAS) solutions for defense and national security. Our leadership team brings deep expertise in robotics, autonomy, and defense technology, with proven track records of delivering innovative systems in high-stakes environments. Backed by strong financial support, we operate with urgency, leveraging an active prototype, new lab facilities, and frequent field campaigns to iterate rapidly and validate performance. Job Duties • Design and bring up robotic systems from the ground up, including embedded integration, driver development, and sensor selection., • Write and optimize firmware in C++ or Rust for real-time operating systems managing motion, communications, and sensors., • Develop and tune control algorithms such as PID or model-predictive controllers for electromechanical actuation., • Calibrate and integrate IMUs, cameras, and encoders to support visual-inertial state estimation., • Apply sensor fusion techniques (e.g., EKF, UKF) for robust real-time tracking and stabilization., • Build Python-based tools for logging, visualization, calibration, and automation., • Lead rapid test cycles in lab and field environments to validate control and perception systems., • Debug issues across embedded software, hardware, and mechanical subsystems., • Architect scalable and reliable frameworks for real-time robotics platforms., • 5+ years of experience developing robotic platforms, embedded systems, or real-time control software., • Proficiency in C++ (modern standards) and Python., • Strong foundation in PID control, sensor feedback systems, and electromechanical actuation., • Experience with embedded development on RTOS platforms (e.g., NVIDIA Jetson or equivalent)., • Hands-on experience with sensor calibration, data fusion, and system-level debugging., • Familiarity with communication protocols such as CAN bus, UART, and other real-time interfaces., • Skilled at low-level debugging using oscilloscopes, logic analyzers, or similar tools., • Rust for embedded platforms., • Experience with ROS2, DDS, or other real-time middleware., • Exposure to adaptive or model-predictive control techniques., • Familiarity with GPU programming (CUDA) or parallel compute frameworks., • PCB design knowledge or experience working within EMI/EMC constraints., • Understanding of distributed systems, networking, or DevOps workflows (Docker, CI/CD)., • Play a founding-team role with significant ownership and visibility., • Work side-by-side with the CTO to shape core architecture and direction., • Full-stack robotics ownership across firmware, control, perception, and tools., • Mission-driven focus on solving urgent defense challenges in counter-UAS systems., • Active prototypes, frequent field testing, and a brand-new robotics lab., • Hardware-first culture with rapid iteration and real-world validation., • Competitive salary plus early equity. $150,000 - $210,000