Trabajos machine learning en Colorado Springs, ColoradoCrear alertas

Job Description Who is Tech7? The Tech7 company is a top provider of support for rapid solutions development, complex systems integration, and the onboarding of commercial capabilities. Since our establishment in 2015, we’ve earned a solid reputation for honesty, innovation, and quality. Our team of experts has vast experience in complex systems gained from working across various sectors. With this experience, we offer end-to-end support throughout the integration of new technologies, from initial concept to ongoing operations and maintenance. Tech7 is seeking a Jr. Software Engineer to join our team. This position is hybrid requiring 2-3 days per week on site located in Colorado Springs, CO. The Jr. Software Engineer will be working is a highly visible project, with a few govt stakeholders. This position develops supporting applications, UI/UX, database queries, web services Member of a collaborative, integrated federal Government/contractor DRAGON Army team that develops, tests, and deploys specialized, high-impact software applications using Agile methodologies in a DevOps pipeline and communications for a government run commercial operations center. Responsibilities: • Individual contribution role in the technical and programmatic actions to establish, optimize, and maintain a fully functional DevOps pipeline that supports the DRAGON Army mission. Work with the Government customer and integrated product teams, consisting of Government contractor personnel, to implement required software feature sets, DevOps capabilities, and pipeline performance enhancements., • Contribute to the development, integration, and execution of tools designed to assess and improve the utility of organization applications., • Knowledge of Agile software processes and ceremonies Requirements: • Up to 3 years of experience in agile software development, • Ability to work effectively in a highly collaborative, and agile team-focused environment, • Agile process knowledge, • Core Concept - programming skills in at least one major language, • Understanding of software development methodologies and tools, • Time management, problem-solving, communications, and organizational skills, • Ability to work well in a team., • US citizenship required. Additional desired qualities • Adaptability, • Practical experience, • AI or Machine Learning software development Minimum Education: • Technical Degree (Computer Science, Engineering, or other technical degrees preferred.) Clearance: • Top Secret eligible. Must have the ability to obtain and maintain a security clearance. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Annual Pay Transparency Range: $103,000.00 - $112,000.00 Tech7 Highlights: • 11 paid holidays, • 4 Weeks PTO, • Comprehensive health benefits, • Competitive salary, • 401k with employer match, • Education reimbursement Tech7 is a certified Small Disadvantaged Business (SDB 8(a)) and Service-connected, Disabled Veteran Owned Small Business (SDVOSB). These certifications streamline the contracting process and provide our customers easier access to our valuable expertise. Visit us at www.tech7.us. Tech7 is an equal opportunity organization. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, gender, sexual orientation, gender identity, marital status, disability, protected veteran status, or any other basis protected by applicable federal, state or local law. Monday - Friday 40 hours per week

Job DescriptionCompany Introduction: Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands. As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors. Airspace has been rated one of America's best Startup Employers and listed as one of CNBC's Disruptor 50 companies. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. Own the Judgment Calls That Keep Orders Moving Every shipment eventually hits a moment that isn't in the SOP — a failed carrier connection, an oversized load with no obvious coverage, a customer who needs a straight answer under pressure. As an Operations Specialist II, you're the person who resolves that moment without waiting for someone else to tell you how. You've mastered the OS I fundamentals and are now trusted to act on incomplete information, source coverage other people can't, and de-escalate situations independently. This is where reactive execution starts becoming proactive ownership. What You'll Do Must be able to perform all responsibilities included in the Operations Specialist I job description, in addition to the following: Resolve What Doesn't Fit the Standard Playbook • Independently start carrier traces for failed-to-load or unable-to-locate shipments, • Source driver coverage for any segment of an order, including oversized shipments, • Use bid/quote request tools to source specialized vehicles and provide cost estimates to customers, • Apply training and tenured knowledge to anticipate complications and proactively solve for themExercise Independent Judgment, • De-escalate most situations without assistance, • Know when to escalate an order versus independently resolving it using available resources, • Understand the downstream impact of decisions made within an orderCommunicate Proactively and Strengthen the Platform, • Communicate proactively — not just reactively — with customers, drivers, and agents at every step of the shipment process, • Maintain any certifications required for your assigned sector and stay current on related compliance requirements, • Identify and suggest system features or workflow improvements that would help OperationsMaintain a Balanced Level of Performance As an OS II, you'll be expected to meet minimum metric requirements and customer service standards appropriate for this level. Specific metrics vary by sector and will be communicated by your direct reporting supervisor. Expectations increase with each advancement. Requirements • Demonstrated success as an Operations Specialist I, or equivalent time-critical logistics / customer operations experience, • Proven ability to make sound decisions with incomplete information and under time pressure, • Track record of de-escalating difficult customer or operational situations without needing to hand it off, • Comfort sourcing non-standard solutions (specialized vehicles, oversized loads) rather than defaulting to escalation, • Any certifications required for your assigned sector (e.g., Dangerous Goods handling, where applicable), or willingness to obtain them, • Continued availability to work the shift pattern required by your team, • Available for 2 weeks of training in person on-site in our Carlsbad, CA headquarters Advancement to Operations Specialist III To advance to OS III, you'll need to demonstrate all of the following: • Minimum of 6-12 months in the OS II role, • Consistently meeting or exceeding OS II performance standards, tracked through ongoing 1:1 check-ins and confirmed across two consecutive Semi-Annual Reviews (SARs), • Demonstrated advanced problem-solving proficiency — independently resolving escalations rather than routing them upward, • Working understanding of margin and cost tradeoffs as they relate to order decisions, • Manager recommendation, confirming readiness to operate as an escalation point for the team Compensation • Hourly pay range: $23-26/hr, • High-quality health, vision, and dental care plan options, • 401K company contribution program, • Professional learning and training reimbursements Core Values: • We are One Team. We believe we all accomplish more when we are working together., • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world., • We are Passionate. We care deeply about our mission and are not afraid to raise the bar., • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers., • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves. Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations. A friendly reminder: Airspace will only contact candidates from an @airspace.com email, a no-reply notification from no-reply@us.greenhouse-mail.io, or a verified LinkedIn profile. We never request fees or sensitive personal/financial information during recruiting. If something seems suspicious or feels off, please reach out to us at recruiting@airspace.com before responding. For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.

Job DescriptionCompany Introduction: Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands. As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors. Airspace has been rated one of America's best Startup Employers and listed as one of CNBC's Disruptor 50 companies. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. Own Driver Engagement in Your Region The Commander Coordinator is the person who makes sure Airspace's driver network in a region runs well day to day. Where the Regional Network Manager owns the complete supply picture for the region — strategy, agent partners, and escalation — the Commander Coordinator owns the direct, ongoing relationship with every Commander and Copilot driver in that region: keeping Tier 1 drivers engaged, Tier 2 drivers progressing, and Tier 3 drivers identified and resolved before they affect service. This is a support role to the Regional Network Manager, not a standalone strategy seat. You are the direct line to drivers — the person they know, trust, and call — and the person your Regional NM depends on to know the true state of the driver pool in the region at any given time. Like agent support, driver support is a tiered model — attention scales with where a driver sits in the network rather than spreading evenly across the whole population. Tier 1 drivers get high-touch, relationship-driven attention. Tier 2 gets consistent, standard engagement and onboarding support. Tier 3 gets focused attention aimed at surfacing issues early and, once authorized, executing deactivation cleanly. Getting that allocation right is the core judgment call in this role. What You'll Do Tier 1 Drivers (High performers) • Provide high-touch support to Tier 1 Commander and Copilot drivers, including regular check-ins to maintain engagement, address concerns, and reinforce performance standards, • Serve as the primary point of contact for Tier 1 drivers in your region Tier 2 Drivers (General population & new drivers) • Support the general driver population and new drivers through onboarding, ramp guidance, and routine engagement — helping drivers build familiarity with Airspace standards and expectations early, • Monitor Tier 2 performance through automated reporting, flagging drivers trending toward Tier 3 before issues escalate Tier 3 Drivers (Performance and conduct — managed out) • Identify and surface Tier 3 drivers — those whose behavior, reliability, or conduct warrants removal from the network — using automated reporting and case data, • Execute deactivation motions once authorized by the Regional Network Manager, managing the workflow through Salesforce case management General • Manage the driver case queue in Salesforce, triaging and routing escalations and maintaining accurate records for your region, • Partner with the Network Trainer to ensure onboarding and ongoing training content is being actioned by drivers in your region, flagging completion gaps by tier, • Support your Regional Network Manager with regional context and data, escalating issues with enough detail to enable a fast decision Partner Across the Network Organization • Work closely with your Regional Network Manager, who owns the complete supply picture for the region and is your escalation point for anything that exceeds your authority, • Partner with the Driver Recruiter to support onboarding as new drivers activate in your region, • Rely on automated performance reporting — built and maintained by the Lead, US Network Strategy & Operations — to monitor driver tiers, flagging anomalies or field-level context back through your Regional NM, • Coordinate with Network Quality & Compliance on documentation standards during periodic audits Requirements • At least 1-3+ years of experience in driver or contractor engagement, dispatch, account management, or another customer/partner-facing operational role — experience in logistics, transportation, or a gig/contractor network environment is strongly preferred, • Comfortable managing a caseload of drivers with different needs across tiers — high-touch relationship management for top performers, consistent standard engagement for the general population, and clear, unemotional documentation for drivers being managed out, • Strong documentation habits; comfortable owning a case queue in Salesforce or a comparable CRM, • Clear, empathetic communicator, comfortable delivering both positive engagement and difficult feedback, • Based within, or willing to be based within, your assigned region (Central Time or Mountain Time preferred); comfortable with regular local travel to meet drivers in person, • Bachelor's degree in a related field, or equivalent practical experience Success Metrics 2026 Tier 1 drivers in your region are engaged and retained at a high rate. Tier 2 drivers, including new drivers, are onboarding smoothly and building familiarity with Airspace standards. Tier 3 drivers are identified early and resolved through a clean, well-documented process once authorized. The case queue is current with no aging escalations, and your Regional NM has clear, timely visibility into the state of the driver pool. 2027 Your region shows measurable improvement in Tier 1 share of active drivers and in driver retention. Onboarding-to-first-segment time for new drivers is trending down. Your Regional NM relies on your judgment on escalations without needing to double-check the underlying work. Your First 90 Days Get to know the drivers in your region — who they are, where they sit in the tier structure, and what's currently open in the case queue. Build a working relationship with your Regional Network Manager and establish a clear operating cadence together. Learn the automated reporting tools well enough to trust what they're telling you and to know when field context should override them. Your First 180 Days Your regional driver engagement cadence is running consistently across all three tiers. The case queue is clean and current. Your Regional NM sees you as a reliable source of ground truth on the driver pool, and new drivers activating in your region are onboarding smoothly with your support. Compensation • Hourly pay range: $22-$26/hr, • High-quality health, dental, and vision plan options, • Open PTO, • 401K with company match Core Values: • We are One Team. We believe we all accomplish more when we are working together., • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world., • We are Passionate. We care deeply about our mission and are not afraid to raise the bar., • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers., • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves. Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations. A friendly reminder: Airspace will only contact candidates from an @airspace.com email, a no-reply notification from no-reply@us.greenhouse-mail.io, or a verified LinkedIn profile. We never request fees or sensitive personal/financial information during recruiting. If something seems suspicious or feels off, please reach out to us at recruiting@airspace.com before responding. For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.

Job DescriptionJob Description At Nyla, we are proud to deliver solutions that make a real impact! We’re seeking a dynamic, driven Application Developer to join our engineering team and build robust enterprise applications. In this role, you will apply your knowledge and experience to extract and convey actionable insights at NORAD and USNORTHCOM Office of the Chief Artificial Intelligence Officer (CAIO). As the Senior Application Developer, you will design and deliver hardened data pipelines and analyses to inform ongoing operations and shape strategic roadmaps. You will serve as the cross-functional bridge between multiple engineering and client leadership teams, partnering closely with Nyla data scientists on the CAIO team to structure data science workflows and deliver high-consequence operational tools that solve critical mission challenges! If you love solving technical challenges, pushing boundaries, and delivering scalable code, we’d love to connect! The annual base salary range for this role is $170,000-$230,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills • Core Software Development: Strong proficiency in Python or JavaScript writing clean, maintainable, and scalable application code. Infrastructure Automation: Experience with entry-level to advanced Infrastructure-as-Code (IaC), Configuration-as-Code, and CI/CD pipeline operations. API Integration Security: Familiarity with developing APIs and integrating with API Gateways, developing REST services, containerizing applications and/or microservices using Docker or Kubernetes, and container security and hardening baselines (such as IronBank). Testing Repository Management: Hands-on experience with unit testing frameworks and Git-based code repositories (such as GitHub/GitLab). Education Experience Experience: 4+ years of experience delivering data and AI solutions for DoW or IC customers Education: Master’s Degree in Data Science, Computer Science, Statistics, Information Systems or a related field. , Desired Skills • Demonstrated history of delivering high-consequence mission-enabling tools and solving complex operational road blocks., • Implementing AI solutions that go beyond basic LLM chat interfaces, such as integrating custom machine learning models or augmenting existing models with new data., • Experience leading engineers on a technical delivery team, including requirements decomposition and ticket prioritization in a system such as Atlassian Jira, About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise, with a charter to create new and emerging technology innovations in support of Commercial & Government organizations. We have expertise in RF, EMP, Pulsed Power, Acoustics and Threat Warning Systems, and we prioritize partnering with our customers to address real-world problems with cost-effective solutions… that work. The SARA, Inc. High Power Electromagnetics Division (HPEM) is seeking a highly motivated and skilled Research Engineer with a focus on Computational Electromagnetics, RF Systems, and Numerical Modeling to join our team in Colorado Springs, CO. The ideal candidate will possess a strong background in electromagnetic theory, computational modeling, RF and microwave engineering, antenna systems, and advanced simulation techniques. This role will support the development, analysis, and validation of innovative electromagnetic technologies for defense, aerospace, and research applications. The candidate will work alongside engineers, physicists, and technicians to solve challenging electromagnetic problems through a combination of analytical modeling, numerical simulation, laboratory testing, and experimental validation. The successful candidate will have opportunities to contribute across the full engineering lifecycle, including concept development, analysis, design, prototyping, testing, and customer support. Our multidisciplinary environment provides exposure to a broad range of technologies spanning computational electromagnetics, RF systems, antennas, high-power electromagnetic effects, materials characterization, and advanced modeling techniques. The candidate must be a high-performing engineer with a strong technical pedigree in electromagnetics and RF engineering. Candidates must be collaborative, resourceful, technically curious, effective communicators, and capable of contributing in a dynamic research and development environment. Responsibilities: • Develop analytical, numerical, and computational models of electromagnetic systems and structures, • Perform electromagnetic analysis using industry-standard simulation tools to evaluate RF, microwave, antenna, and electromagnetic systems, • Design, model, analyze, and validate antennas, passive microwave components, RF subsystems, and advanced electromagnetic structures, • Conduct laboratory measurements and experimental validation using vector network analyzers, RF instrumentation, and related test equipment, • Analyze and interpret simulation and test data and prepare technical reports, presentations, and engineering documentation, • Investigate electromagnetic phenomena and identify physical mechanisms impacting system performance, • Support development of new modeling methods, algorithms, and computational approaches for solving complex electromagnetic problems, • Collaborate with multidisciplinary teams to integrate electromagnetic technologies into larger system architectures, • Support proposal development, technical planning, and customer engagements, • Contribute to technical publications, intellectual property development, and innovation initiatives, • Mentor junior engineers and contribute to a culture of technical excellence and continuous learning Technical Skillsets • Strong foundation in electromagnetic theory, antennas, transmission lines, RF propagation, and microwave engineering, • Experience with computational electromagnetics methods and simulation tools such as HFSS, CST Microwave Studio, FEKO, COMSOL, or equivalent, • Experience developing analytical and numerical solutions for electromagnetic problems, • Ability to correlate simulation results with measured laboratory data, • Knowledge of antenna design, phased arrays, electromagnetic materials, metamaterials, metasurfaces, or advanced RF structures, • Proficiency with MATLAB and familiarity with Python or C++ for modeling, automation, and data analysis, • Experience with RF measurement techniques utilizing vector network analyzers and related instrumentation, • Strong analytical, troubleshooting, and problem-solving skills, • Familiarity with signal processing, array processing, numerical algorithms, or machine learning applications to engineering problems is desirable Key Competencies • Technical leadership, • Analytical thinking and problem solving, • Effective verbal and written communication, • Research and innovation mindset, • Teamwork and collaboration, • Initiative and self-direction, • Time management and organization, • Mentoring and professional development Minimum Requirements: • Bachelor’s in Electrical Engineering, Physics, Applied Physics, or a related technical field, • 4 – 7 years of experience in computational electromagnetics, RF engineering, antenna engineering, numerical modeling, or related disciplines, • Strong understanding of electromagnetic theory and computational methods, • Experience with electromagnetic simulation tools such as HFSS, CST, FEKO, COMSOL, or equivalent, • Experience performing electromagnetic analysis and correlating analytical, simulated, and measured results, • Proficiency with MATLAB and familiarity with scientific programming environments, • Excellent analytical, technical writing, and communication skills, • Ability to work effectively in multidisciplinary engineering teams, • Available for moderate levels of travel and off-site work, • US Citizen with the ability to obtain and maintain DoD security clearance, • May require Moderate physical effort, including standing, sitting, and use of hands while performing duties, and carrying or lifting up to 20 pounds, • Working environment is indoor, moderately quiet, reasonably clean, well-lit, and well-ventilated; moderate physical hazards may exist Preferred Qualifications: • Master’s or Ph.D. focused in Computational Electromagnetics, RF/Microwave Engineering, Antenna Engineering, Applied Electromagnetics, or related discipline, • 8 – 10 years of experience in defense, aerospace, national laboratory, university research, or advanced technology development environments, • Experience with antenna design, phased arrays, electromagnetic materials, metamaterials, or metasurfaces, • Experience developing analytical electromagnetic models and numerical algorithms, • Experience with Linux-based computational environments, Python, C++, CUDA/GPU computing, or high-performance computing, • Familiarity with machine learning techniques applied to engineering or modeling problems, • Demonstrated record of technical publications, patents, or innovative research contributions, • Experience supporting DoD, aerospace, intelligence community, or national laboratory programs, • Published professional/academic papers and/or patents, • Active Secret or Top Secret security clearance SARA offers a competitive benefits package to include: • Medical, dental, vision, disability and life insurance; and other supplemental programs, • A generous PTO program (vacation, sick, holiday), • Tuition & certification reimbursement, • Flexible work schedules, • Discretionary Employee bonuses, • 401(k) match/profit sharing, • Employee Stock Ownership Plan (ESOP) Pay Range Salary at SARA is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $100,000 to $150,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA’s total compensation package for employees. Positions are on-site, unless indicated otherwise. Application Deadline: October 22, 2026 SARA is an equal employment opportunity employer.

Job DescriptionJob Description We are looking for a Lead AI Engineer to join our team! In this role, you will apply your knowledge and experience to extract and convey actionable insights at NORAD and USNORTHCOM Office of the Chief Artificial Intelligence Officer (CAIO). As the Lead AI Engineer, you will design and deliver hardened data pipelines and analyses to inform ongoing operations and shape strategic roadmaps. You will serve as the cross-functional bridge between multiple engineering and client leadership teams, partnering closely with Nyla data scientists on the CAIO team to structure data science workflows and deliver high-consequence operational tools that solve critical mission challenges! The annual base salary range for this role is $200,000-$270,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Programming Data Science Tools: Proficiency in Python, JavaScript, and/or TypeScript. Experience developing SQL scripts and using Gitlab/Git for Source Code Management (SCM) Enterprise Data Platform Management Development: Experience in Palantir Foundry and other enterprise DoW tools (Databricks, Power Platform, GenAI.mil) automating manual workflows and building operator-employed user-facing apps. GenAI Agentic Workflows: Familiar with designing apps that leverage LLMs, tailored reasoning models, and agentic workflows. Experience engineering AI solutions with robust traceability and explainability. Data Visualization UI/UX Design: Ability to design impactful data visualizations and intuitive user-facing apps that clearly communicate insights from multiple enterprise datasets and enable a seamless user experience. Data Engineering and Governance: Familiar with developing and maintaining data pipelines (including cross-domain) and ensuring data health and appropriate user access. Well-versed in driving data integration of key customer and external datasets. Education Experience Experience: 8+ years of experience delivering data and AI solutions for DoW (particularly at Combatant Commands) or IC customers Education: Master’s Degree in Data Science, Computer Science, AI Engineering or a related field. , Desired Skills • Demonstrated history of delivering high-consequence mission-enabling tools and solving operational road blocks., • Implementing AI solutions that go beyond basic LLM chat interfaces, such as integrating custom machine learning models or augmenting existing models with new data., • Experience leading engineers on a technical delivery team, including requirements decomposition and ticket prioritization in a system such as Atlassian Jira, About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Dark Wolf is looking for summer interns to join us at our office in Colorado Springs, CO. Outside of the office, you'll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement. Location: Colorado Springs, CO Duration: June 2027 – August 2027 Type: Full-Time Internship (Paid) Software Delivery and Cloud Internship: As an intern , you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code. Key Responsibilities Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js. Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery. Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training. AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning. Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC). Required Skills & Qualifications Current Enrollment: Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida. Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks). Problem Solving: Strong analytical skills and a "Go Getter" attitude toward tackling complex technical challenges. Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members. Preferred Experience Familiarity with containerization tools like Docker or Kubernetes. Knowledge of SQL and NoSQL databases. Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain. Previous project work involving cloud-native architecture. Cybersecurity Academy Internship: Are you ready to go beyond the textbook ? The Dark Wolf Cyber Academy (DWCA) internship is an immersive program designed to turn aspiring students into cybersecurity professionals. Unlike standard internships, we challenge you to navigate the complexities of cybersecurity through three critical lenses: Risk Management, Penetration Testing, and Cyber Engineering. This internship is built for people who want to grow fast. The DWCA Internship is designed to be cyber intensive where you won't just talk about security—you'll build it. This program is structured into dedicated 2-3 week blocks where you work alongside professionals and are exposed to real-world tools and frameworks. From breaking into systems to building resilient cloud architectures, you will gain hands-on experience that bridges the gap between theory and implementation. This internship is designed to help you figure out your path—and give you experience to back it up. Professional Sprints: • Pentesting & Offensive Security: Adopt an adversarial perspective to identify and exploit critical vulnerabilities., • Cyber Engineering: Move beyond policy to practical application by learning to architect and secure cloud environments., • Risk Management & Compliance: Familiarize yourself with the components of authorization packages through hands-on development activities., • AI Education & Emerging Tech: Explore the cutting edge of security by analyzing the impact of emerging technologies on modern cyber engineering.Why DWCA?, • Real-World Impact: Work on a simulation that mirrors industry challenges, • Mentorship: Learn directly from professionals who serve as your dedicated day-to-day coaches, • Career Launchpad: Gain the practical, employable skills that prepare you to stand out in a competitive market Desired Majors • Cybersecurity, • Information Security, • Computer Science, • Information Technology, • Information Systems Desired Skillsets • Willingness to learn and apply knowledge, • Comfortable communicating and collaborating with teammates and leadership, • Strong problem-solving and analytical skills with attention to detail, • Basic understanding of how cybersecurity protects systems and data (threats, risks, and why security matters)Google Cloud Delivery Internship: Help us build and extend our Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app. Our SCLZ allows DoD & National Security customers to scale their missions securely and efficiently using our IL5 and FedRAMP High P-ATO'd landing zone architecture which provides IAM Best Practices, Tenant Isolation, Shared Services, and monitoring through Infrastructure-as-Code (IAC). In this internship you will work across the core SCLZ codebase and build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases. Skillsets: Computer Science, Computer Engineering Majors • Application Development, • Cloud Infrastructure Engineering, • Developing Zero Trust Cloud Native Apps/Solutions on Google CloudCybersecurity, • Cloud GRC, • Cloud Native Policy as Code, • SecOps We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Job Description nou Systems, Inc. (nSI) solves diverse and challenging technical problems in an enjoyable, stimulating environment while providing unsurpassed value to our customers. We are pleased to announce the opening for a DevOps Engineer who will join our Research and Development division, supporting teams working on advanced AI/ML applications in missile defense, battle management, and related domains. You will help deploy, scale, and standardize machine learning development workflows in support of Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) projects. You’ll work at the intersection of infrastructure, software engineering, and machine learning to enable high-performing research teams to deliver impactful, secure, and maintainable solutions. Responsibilities: As an DevOps Engineer, you will help architect, implement, and maintain modern ML development pipelines. You’ll collaborate across multiple research teams, supporting their ability to develop, test, and deploy machine learning capabilities quickly and securely. You will: • Build and maintain GPU-capable development environments and containerized workflows., • Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and deployment., • Implement and enforce GitLab merge request policies and code quality standards., • Create shell scripts and config files to streamline setup, reproducibility, and remote development (e.g., SSH-based HPC access)., • Define and document standardized ML development practices across teams., • Collaborate with ML researchers, software engineers, and cybersecurity teams to transition prototypes into production-ready systems., • Support secure deployment of ML solutions in DoD-restricted environments., • Contribute to SBIR/STTR project execution and proposal development. Basic Qualifications: • A bachelor’s degree in computer science or a related technical field., • 4 years of experience in DevOps - including support for GPU-accelerated workloads., • U.S. citizenship and the ability to obtain a Secret security clearance. Candidates must meet all basic qualifications to be considered. Preferred Qualifications • Strong proficiency in Linux-based development, shell scripting (Bash), and remote development on GPU-accelerated hardware., • Hands-on experience with containerization and reproducibility using Podman (or similar) and tools like Conda, Poetry, or Pixi, including setup behind proxies and secure artifact repositories (e.g., Artifactory)., • Proven ability to build and manage CI/CD pipelines in GitLab (or equivalent), including automated testing, MR enforcement, and runner configuration., • Familiarity with Python-based machine learning frameworks and tooling (e.g., PyTorch Lightning, Optuna, MLflow, Ray-RLLib)., • Experience deploying ML solutions in secure, classified, or DoD-restricted environments., • Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and DevSecOps best practices., • Understanding of software supply chain security, including artifact validation and SBOMs., • Strong communication skills with a track record of writing clear technical documentation and supporting onboarding across technical teams. nou (pronounced ‘new’) Systems: Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions. We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family. Benefits of working at nSI nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following: • Competitive Wages*, • Medical, Rx, Dental & Vision Insurance, • Medical plan with Health Savings Account eligibility, • Company-funded Life, Short-Term & Long-Term Disability Insurance, • Personal Time Off, Vacation, and Paid Holidays, • 401(k) Retirement Plan, • Employee Stock Ownership Plan (ESOP), • Flexible Spending Accounts, • Norton LifeLock, • Tuition Reimbursement, • Personal Development, Technical Learning Opportunities, & Lunch-n-Learns, • Corporate Sponsored Events & Community Outreach *Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location. nSI is an Equal Opportunity Employer Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions. Annual Salary Range: $120,000 - $165,000

Job Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, and govern AI-powered mission workflows across highly dynamic operational environments. We are looking for an experienced Lead AI/ML Software Engineer to help shape the next phase of [R]AIMS: a technical builder-leader with deep experience designing and scaling complex production systems, someone who can make hard architecture decisions, simplify complexity, lead major engineering efforts, and raise the technical bar across the platform. About the role: As Lead Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft's AI Mission System. You will be hands-on in the codebase, leading by doing, while also setting technical direction and raising the quality of engineering across the team. You will partner closely with platform leadership, product, and delivery teams to drive architectural decisions, lead major technical epics from conception through delivery, and establish the engineering patterns that the platform will grow on. You will operate at the intersection of distributed systems, AI/ML platform engineering, Kubernetes-native infrastructure, and data-intensive application development, balancing rapid mission delivery with long-term platform integrity. This role requires someone equally comfortable writing production systems with complex multi-vendor integrations, debugging difficult distributed systems issues, leading design reviews, and making pragmatic tradeoff decisions under ambiguity. What you'll do: • Drive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance, scalability, security, and maintainability and building alignment across engineering and product stakeholders, • Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans and keeping cross-functional teams moving with clarity and momentum, • Simplify and rationalize distributed system architecture as the platform scales, reducing incidental complexity and improving operational reliability without sacrificing capability, • Optimize platform performance across both edge and cloud deployment targets, identifying and resolving bottlenecks in data-intensive, latency-sensitive operational environments, • Establish strong engineering foundations and reusable technical patterns that improve developer productivity and code quality across the team, • Mentor engineers at multiple levels, conducting design reviews, providing substantive code feedback, and actively elevating technical execution across the platform, • Partner with AI/ML engineers on model integration, inference optimization, and the operational deployment of agentic workflows within [R]AIMS, • Engage directly with customers and program stakeholders at operationally demanding environments across the Department of Defense, representing Raft's technical capabilities with credibility and clarity What we are looking for: • 6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML), • Deep software engineering fundamentals with demonstrated ability to design, build, and evolve complex systems that perform reliably at scale, • Exceptional technical communication skills; able to lead through influence across engineering, product, and leadership stakeholders without requiring direct authority, • Proven experience designing and evolving distributed systems, including service decomposition, inter-service communication patterns, fault tolerance, and observability, • Strong hands-on experience with Kubernetes and cloud-native platform architecture in production environments, • Experience building data-intensive or AI-enabled production systems with real operational users and real performance constraints, • Demonstrated technical leadership over large, cross-functional engineering initiatives with clear ownership and accountability for outcomes, • Strong system design and architecture decision-making ability, with a track record of making the right call under incomplete information, • Some experience or exposure to training, fine-tuning, or deploying machine learning models in production contexts, • Ability to obtain Security+ certification within the first 90 days of employment, • US citizenship required; ability to obtain and maintain a Top Secret/SCI clearance Highly preferred: • Experience building AI/ML infrastructure or agentic systems, including orchestration frameworks, tool-use patterns, and LLM integration in production, • Experience with streaming and event-driven architectures, particularly Kafka, Kafka Streams, or Apache Flink, • Experience with platform engineering and internal developer tooling, including golden-path frameworks, shared libraries, and developer experience improvements, • Experience with real-time inference or operational AI systems in latency-sensitive environments, • Experience building secure, compliant systems for regulated or mission-critical environments, including familiarity with IL4/IL5/IL6 requirements or RMF processes, • Prior work in defense, national security, or classified program environments, • Active clearance preferredWhat Success Looks Like, • [R]AIMS has a coherent, well-documented architecture that engineers at all levels understand and can contribute to confidently, • Major platform initiatives ship on time with high engineering quality, low rework rates, and clear technical rationale behind key decisions, • The engineering team is measurably stronger because of your presence: better design reviews, sharper code, cleaner systems, • Customers trust Raft technically. When you're in the room, they leave the conversation with confidence in what we're building and how we're building it, • Platform complexity is decreasing relative to capability, not increasing Clearance Requirements: • No clearance required to start, • Must be eligible for and willing to obtain a Top Secret/SCI clearance; active clearance preferred Salary Range: $180,000.00 - $230,000.00 Work Type: • Remote within the U.S.; preference for candidates located near a Raft hub (McLean, VA; Colorado Springs, CO; Tacoma, WA; Oahu, HI, Tampa, FL; Boston, MA), • Up to 25% travel What we will offer you: • Highly competitive salary, • Fully covered healthcare, dental, and vision coverage, • 401(k) and company match, • Take as you need PTO + 11 paid holidays, • Education & training benefits, • Generous Referral Bonuses, • And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description nou Systems, Inc. (nSI) is a 100% ESOP company solving challenging defense problems in an enjoyable, stimulating environment. We support mission areas including missile defense, battle management, cybersecurity, test range modernization, biotechnology, and space control. We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities across research, prototype, and operationally relevant defense applications. We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems. Responsibilities • Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code., • Build backend software components that support ML workflows, data processing, model evaluation, and system integration., • Help identify, prepare, and validate training and evaluation datasets., • Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches., • Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes., • Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration., • Communicate technical results clearly through written documentation, presentations, and team discussions., • Support multiple project teams and help translate ML concepts into practical engineering solutions. Basic Qualifications • Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field., • 3+ years of professional experience in machine learning, data science, or backend software development., • Hands-on experience developing, training, or evaluating deep learning models using PyTorch., • Professional experience building backend software, data pipelines, APIs, or system integration components., • U.S. citizenship and the ability to obtain a Secret security clearance. Preferred Qualifications • Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches., • Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency), • Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically., • Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration., • Experience with ML tools (MLflow, Optuna, or PyTorch Lightning), • Experience with RL development using Gymnasium and Ray RLlib., • Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex., • Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments. Position Details • This is an in-office role requiring presence at least 4 days per week., • Annual Salary Range: $100,000 - $160,000 nou (pronounced ‘new’) Systems: Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions. We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family. Benefits of working at nSI nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following: • Competitive Wages*, • Medical, Rx, Dental & Vision Insurance, • Medical plan with Health Savings Account eligibility, • Generous company-funded Basic Life Insurance, • Company-funded Short-Term & Long-Term Disability, • Optional Accident and Critical Illness Insurance, • Personal Time Off, Annual Leave, and Paid Federal Holidays, • 401(k) Retirement Plan, • Employee Stock Ownership Plan (ESOP), • Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs, • Personal Development, Learning Opportunities, & Lunch-n-Learns, • Opportunities for Advancement, • Skills Development & Certifications, • Employee Referral Bonus Program, • Corporate Sponsored Events & Community Outreach *Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location. nSI is an Equal Opportunity Employer Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions.

Job Description Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO. This position is an integral part of a fast-paced, innovative program for the Missile Defense Agency (MDA) involving the creation of advanced M&S, Optimization, and AI capabilities in support of the Guam Defense System (GDS). The program works cross-functionally with innovative team members skilled in Modeling & Simulation (M&S), Artificial Intelligence (AI)/Machine Learning (ML), DevSecOps, and Cybersecurity. The ideal candidate will possess a fundamental understanding of AI/ML principles, experience supporting AI/ML projects from conception to deployment, and strong communication skills. As an AI/ML Engineer, you will be responsible for developing AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts and results to both technical and non-technical audiences, and collaborating with cross-functional teams to deliver innovative AI-powered solutions. The selected individual must be able to work with little direct supervision, work as an integral member of a product delivery team and meet time critical delivery schedules. Work will be performed at a contractor facility in Colorado Springs, CO and at Schriever SFB. All team members should be able to: • Experiment with innovative theories, ideas, and concepts to expand the realm of the possible, • Self-organize and participate in an Agile development lifecycle, • Ask questions and build consensus within a cross-functional team, • Provide design inputs and collaborate to decompose, estimate, and refine backlog requirements Job Responsibilities: • Candidate will serve as an AI Engineer for a team creating multiple AI/ML projects and the development and training environment in which they are created., • Primary responsibilities include close collaboration with data team members, collaboration with functional SMEs, and developing advanced optimization models for customer product enhancement, • Train models and algorithms within a software product across a cross-functional team to provide value to our customer, • Support the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring., • Design, develop, and implement AI/ML models and algorithms using appropriate tools and techniques., • Ensure the quality and accuracy of AI/ML models through rigorous testing and validation., • Collaborate with software engineers, network security, and DevOps teams to deploy AI/ML models into production environments., • Model performance of AI/ML models in production and identify areas for improvement., • Communicate AI/ML concepts and results effectively to both technical and non-technical audiences., • Work in close coordination with multiple teams that will use AI/ML products., • Work with AI/ML Lead to define problem statements and success metrics for AI/ML products. Job Requirements: • Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 4 to 6+ years of relevant experience, or a Master's degree and 3 years experience., • AI Experience, • Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning., • Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development. Algorithmic understanding of heuristic and black box approaches for optimization, such as Genetic Algorithms, Simulated Annealing, Bayesian Optimization, and Particle Swarm Optimization., • Familiarity with ML algorithms, such as Decision Tree, Random Forest, Support Vector Machine, Neural Network, Convolutional Neural Network, Long Short-Term Memory., • Experience evaluating models using common AI/ML concepts (e.g. cross-validation, drift monitoring, model cards, bias/fairness testing)., • Familiarity with response AI/model governance., • AI Development Experience, • Proficient in building optimization models with one of the following languages: Python, C, C++, • Understanding of Python's common data stack (NumPy, Pandas, SciPy), • Experience with common ML frameworks for Python (scikit-learn, Tensorflow, PyTorch), • Development Environment Experience, • Experience with collaborative programming tools (Git, Gitlab), • Familiarity with Linux operating systems., • Team Environment and Communication, • Strong communication and interpersonal skills; including presentation skills., • Strong problem-solving and analytical skills., • Must be self-motivated, able to work effectively in a dynamic and collaborative team environment., • Ability for some limited travel (less than 10% time) to support program meetings., • Excellent communication skills Desired Competencies/Experience/Certifications: • 5+ years of relevant experience in Operations Research/Machine Learning, • Demonstrable experience building ML models in Python, • Experience with data manipulation and ML for big datasets, • Experience with MLOps tools (Kubeflow, MLflow, DVC), • Knowledge of modern application development to include containerization (Docker/K8S), • Demonstrable experience applying analytical and programming skills to solve optimization problems, • Strong algorithmic understanding of classical optimization techniques. (e.g., linear programming, gradient descent)., • Familiarity with Agile processes/development methodology, • Familiarity with cloud computing platforms such as AWS, Azure, or GCP. Clearance Requirements: • Holds active DoD Secret clearance at time of application and able to obtain Top Secret Security clearance. Job Posted by ApplicantPro

Job DescriptionAbout Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. Requisition #: 1590 Job Title: Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start Job Descripton Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools. This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred. Education and Background A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience Required Skills • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development., • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySparkPreferred Skills, • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow)., • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry)., • Strong understanding of data validation, model testing, and performance evaluation techniques., • Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib., • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.Working Conditions Requires work onsite in a SCIF Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are., • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do., • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated., • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support., • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task., • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges., • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 nou Systems, Inc. (nSI) is a 100% employee-owned company! We value teamwork and collaboration, and this transition allows us to take that commitment to a new level. nSI empowers our customers by supplying products, services, and expertise with powerful, data driven insights that transform defense systems and improve capabilities. We are pleased to announce the opening for an AI Engineer who will join our Technical Solutions division and become part of our rapidly growing technology company operating in missile defense, cybersecurity, test range modernization, biotechnology, and space control marketspaces. You will be part of a team designing machine learning solutions from the lab to the field. Responsibilities: You will develop, train, and analyze AI/ML systems such as deep reinforcement learning (DRL) analytics, explainability (XAI), adversarial machine learning methods, and model interpretability tools. You will strategically plan projects and architect elegant solutions. You’ll work on a mix of projects, some of which will include other data scientists, others of which will require you to help educate non-data-science teams on the value and limitations of machine learning solutions. You will: • Architect AI solutions and navigate difficult tradeoffs., • Help identify and design training data sets., • Implement and customize AI models from open literature., • Develop MLOps pipelines., • Visualize and communicate your results in written documents and oral presentations., • Brief technical concepts and results to non-specialist audiences., • Bring in new work to the Technical Solutions division through proposals and conferences., • Help develop junior engineers. You will add value beyond your own technical contributions., • You’ll support multiple teams and must be able to work effectively with other teammates. Basic Qualifications: • A master’s degree in computer science, math, physics, or a related field (or bachelor’s degree plus 2 additional years of experience)., • Strong intellectual curiosity. Our solutions often require creative implementations and combinations of state-of-the-art methodology., • Ability to identify, understand, and apply relevant research literature, • You must possess or can obtain an active Secret clearance. This is a mid-senior level position. We are looking for extensive hands-on experience with deep learning models. We expect strong software development fundamentals in Python and the ability to organize a team to work efficiently. This position requires technical ingenuity, intellectual curiosity, hands on engineering ability, and a passion for building tangible products. We appreciate engineers who are resourceful and creative problem solvers. We are looking for great written and verbal communication skills and the ability to interface with customers. We are looking for someone who is a team player and is glad to lead a variety of AI projects as opportunity presents. Lacking any of these disqualifies you from this job. Preferred Qualifications: • Excellent understanding of the statistical foundations of machine learning., • Ability to cleanly structure machine learning projects in Python., • Experience with deep learning models (supervised, unsupervised, and reinforcement learning) using PyTorch, Tensorflow, or Jax., • Experience with MLOps tools (PyTorch Lightning, Optuna, MLflow, etc.), • Experience deploying and maintaining AI models in production., • Experience with DevOps tools (Git, Gitlab, CI/CD, Remote Computing, Docker), • Experience with time series data, satellite imagery, and graph neural networks., • Experience leading AI projects that require multidisciplinary solutions., • Demonstrated experience explaining technical concepts and data analysis results to non-specialist audiences, both through written documents and oral presentations., • Experience participating in SBIR or STTR projects or similar research programs, • Experience working in a fast paced environment with rapid prototyping nou (pronounced ‘new’) Systems: Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions. We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family. Benefits of working at nSI nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following: • Competitive Wages*, • Medical, Rx, Dental & Vision Insurance, • Medical plan with Health Savings Account eligibility, • Company-funded Life, Short-Term & Long-Term Disability Insurance, • Personal Time Off, Vacation, and Paid Holidays, • 401(k) Retirement Plan, • Employee Stock Ownership Plan (ESOP), • Flexible Spending Accounts, • Norton LifeLock, • Tuition Reimbursement, • Personal Development, Technical Learning Opportunities, & Lunch-n-Learns, • Corporate Sponsored Events & Community Outreach *Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location. nSI is an Equal Opportunity Employer Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions.

Job Description Insight Global is looking for two Physical Design Engineers to join a leading semiconductor company sitting in Colorado Springs or San Jose. This position involves working with the latest technology to continue driving next generation Artificial Intelligence and Machine Learning ecosystems through their PCIe Switch Products – and managing mega datacenters, while leading world class performance, through their Enterprise Storage Products. More specifically, this position will require in-depth knowledge and expertise in all Physical Design aspects of taking RTL to silicon tape-out. Responsibilities include: • Execution of Physical Design, Synthesis, Physical Verification, and Timing Closure, • Setup and Synthesizing RTL, • Timing closure through various methods and strategies, • EM/IR Analysis, • Place and Route, • Clock Tree Synthesis, • Floor-planning and Layout, • Flow and Methodology Development, • Collaborating with IC Design RTL Engineers Required Skills & Experience • Bachelors with 5-8 years of experience, or Masters with 3-8 years of experience, • Full physical design cycle experience: RTL to Tape-out/GDSII, • TCL/PERL Scripting experience, • Experience with Setup and Synthesizing RTL, • Experience with Floor Planning and Layout, Place and Route, and Timing Closure, • Bachelor’s degree required (preferably Electrical Engineering or Electronics Engineering but can be flexible with right work experience) This position offers paid relocation, an annual bonus as well as competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The position can offers a 20% annual bonus, substantial RSU package, and full relocation package.

Job Description Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davison is seeking an Applied Scientist in Colorado Springs to develop algorithms and computational solutions for complex real-world problems involving optimization, uncertainty, simulation, and sequential decision-making. This role combines applied mathematics, algorithm development, programming, and experimental analysis. You will work on problems that require translating ambiguous requirements into practical models, evaluating alternative approaches, and adapting methods to fit real-world constraints. Working closely with the technical lead, you will have the autonomy to investigate problems, challenge assumptions, propose improvements, and implement solutions. Your work will span improving existing applications, developing simulation-based optimization methods, and advancing real-time decision systems that use information as it becomes available. Job Responsibilities: • Formulate complex problems using appropriate mathematical and computational models, making and evaluating assumptions where necessary., • Develop, adapt, and combine algorithms from optimization, probability, statistics, machine learning, and sequential decision-making., • Identify opportunities to improve decisions and computational efficiency by exploiting available information and information revealed over time., • Design computational experiments, analyze results, and use evidence to evaluate approaches and guide improvements., • Implement algorithms and contribute to maintainable software in Python and C++, including improving existing applications, testing, and code quality., • Develop and optimize discrete-event simulations and contribute to real-time systems for sequential decision-making under uncertainty., • Collaborate with the technical lead to assess existing approaches, identify limitations, and develop practical alternatives.Job Requirements:, • Bachelor's degree in mathematics, operations research, statistics, computer science, engineering, or a related field, with 5+ years of relevant experience; or a Master's or PhD in a related field with 3+ years of relevant experience., • Demonstrated experience applying quantitative, statistical, or algorithmic methods to complex real-world problems., • Practical programming ability in Python and C++., • Experience applying relevant methods such as optimization, probability, statistics, simulation, stochastic optimization, reinforcement learning, bandit algorithms, or active learning. Candidates need experience in some relevant areas, not all., • Ability to critically evaluate assumptions and approaches, reason through ambiguity, and develop and test practical solutions., • Familiarity with Git and GitHub or comparable version-control tools., • Ability to communicate technical reasoning, results, and trade-offs clearly.Desired (not required) competencies:, • Experience with any of the following: sequential decision-making, reinforcement learning, stochastic optimization, bandit algorithms, or active learning., • Experience with simulation-based optimization., • Familiarity with supervised and unsupervised learning., • Experience with scientific computing, simulation, or computational experimentation., • Experience improving software from prototype to maintainable application., • Familiarity with automated testing or CI/CD practices., • Graduate-level study or research in a relevant quantitative or computational discipline. Relevant experience may come from professional work, research, graduate projects, or other substantial technical projects. Candidates are not expected to have expertise in every listed method. Clearance: Ability to obtain a DoD secret clearance The Opportunity This is a self-directed technical role for someone who enjoys applying their knowledge to interesting, open-ended problems. You will have room to explore approaches, question assumptions, and implement improvements while collaborating with the technical lead on problem formulation and overall direction. The emphasis is on sound technical reasoning, practical algorithm development, and evidence-based problem-solving-not on any single academic discipline, algorithm, or software framework. Job Posted by ApplicantPro

Job Description Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise with more than 35 years of proven innovation. We create new and emerging technology solutions in support of Commercial & Government organizations, with expertise in RF, EMP, Pulsed Power, Acoustics, and Threat Warning Systems. As an Employee-Owned company, every team member has a personal stake in the success of our mission, fostering a culture of collaboration, accountability, and innovation. At SARA, you’ll have the opportunity to work alongside talented engineers, physicists, and technicians while making a direct impact on programs that matter. The SARA High Power Electromagnetics Division (HPEM) is looking for a remarkably talented, motivated, and imaginative Machine Learning Systems Engineer (UAS) to support research and development activities and transition innovative technologies to the DoD, DoE, and their contractors in Colorado Springs, CO. The candidate will have the opportunity to grow and learn with talented engineers, physicists, and technicians on both long-standing programs and new initiatives, contributing in a multidisciplinary environment from concept through operation. We are seeking a highly skilled engineer to spearhead the development of unmanned navigation and control technologies, with emphasis on flight controller integration, autonomous navigation, and AI-driven edge processing. This role involves developing and configuring flight control systems, integrating sensors, optimizing embedded software, and deploying AI models on embedded platforms. The ideal candidate will collaborate across hardware, software, and AI teams to advance the boundaries of autonomous aerial systems. Core Responsibilities: • Assist with configuring and integrating flight controllers running PX4 or ArduPilot, including Cube-based hardware, with various UAV platforms, • Support firmware flashing, flight controller parameter configuration, PID tuning, motor mapping, ESC calibration, and sensor integration and calibration under the guidance of experienced engineers, • Develop, modify, and test software using C++ and/or Python to support flight control, sensor processing, and communication with Jetson-based AI/vision systems, • Assist with integrating ROS and MAVLink interfaces for communication between flight controllers, companion computers, and ground control systems, • Support computer vision and AI-based perception activities, including object tracking and simultaneous localization and mapping (SLAM), using tools such as OpenCV, TensorFlow, PyTorch, and DeepStream, • Assist with deploying and evaluating AI models on NVIDIA Jetson platforms, learning techniques for efficient real-time inference, • Support networking, telemetry, and video streaming integration for UAV command, control, and monitoring, • Participate in laboratory, simulation, and field testing, including test setup, data collection, troubleshooting, and documentation, following established safety procedures, • Collaborate with hardware, software, and AI team members to resolve integration issues and document technical results Requirements: • Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related field, • 0–2 years of relevant experience in UAS, robotics, embedded software, controls, or related engineering activities; relevant internships, academic projects, research, and personal projects will be considered, • Foundational programming skills in C++ and/or Python, • Basic understanding of control systems, sensors, and embedded computing through coursework or practical experience, • Familiarity with one or more relevant technologies, such as PX4, ArduPilot, MAVLink, ROS, or UAV flight controllers, • Ability to troubleshoot technical problems, follow test procedures, and clearly document results, • Interest in autonomous navigation, computer vision, and AI processing on embedded platforms, • Ability to work effectively as a member of a multidisciplinary team, communicate technical information, and learn new tools and technologies, • U.S. citizen with the ability to obtain and maintain a DoD security clearance, • May require moderate physical effort, including standing, sitting, use of hands while performing duties, and carrying or lifting up to 50 pounds, • Working environment is indoor, moderately quiet, reasonably clean, well-lighted and well-ventilated; moderate physical hazards may exist Preferred Qualifications: • 2+ years of relevant hands-on experience with flight controller integration, UAV software or hardware development, robotics, or embedded systems, • Master’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related field, • Hands-on experience through internships, capstone projects, research, robotics competitions, or personal UAV projects, • Familiarity with Linux, particularly Ubuntu, • Experience configuring PX4 or ArduPilot, using MAVLink or ROS, or working with QGroundControl or Mission Planner, • Exposure to PID tuning, sensor calibration, autonomous navigation, or navigation in GPS-denied environments, • Familiarity with NVIDIA Jetson platforms, OpenCV, TensorFlow, PyTorch, DeepStream, and/or CUDA, • Exposure to real-time embedded systems, wireless communications, telemetry, or video streaming, • Familiarity with UAV test and validation procedures and hardware debugging tools such as oscilloscopes, logic analyzers, or protocol analyzers, • Active DoD security clearance, preferably Top Secret SARA offers a competitive benefits package to include: • Medical, dental, vision, disability and life insurance; and other supplemental programs, • A generous PTO program (vacation, sick, holiday), • Tuition & certification reimbursement, • Flexible work schedules, • Discretionary Employee bonuses, • 401(k) match/profit sharing, • Employee Stock Ownership Plan (ESOP) Pay Range Salary at SARA is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $80,000 to $110,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA’s total compensation package for employees. Positions are on-site, unless indicated otherwise. Application Deadline: November 10, 2026 SARA is an equal employment opportunity employer.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The USAA Marketing Strategy & Analytics (MS&A) team is ensuring every member we acquire is a family whose financial security we help build. Our team is committed to providing granular and actionable visibility into our marketing acquisition investments. We are looking for a Senior Marketing Data Scientist to join the team. You will lead the technical work behind audience strategy: building out and evaluating models, integrating 1st and 3rd party data, and resolving identities across marketing channels. Your work will directly shape which audiences we pursue and how we optimize our investments toward them. As a senior individual contributor, you will set technical standards, mentor other analysts, and partner closely with our MarTech, engineering and marketing leads on marketing activation. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site 4 days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Prior U.S. military service or being a military spouse/domestic partner is highly valued. 3+ years in marketing analytics audience strategy, or paid media. 3+ years working with 3rd party data sources (data co-ops, data marketplaces, credit bureaus) to build marketing targeting models. 3+ years in digital platforms (Adobe, Google) and clickstream data. 3+ years in identity resolution - deterministic/probabilistic matching, household graphs, clean rooms, etc. Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake, Bigquery, Databricks). * Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Requisition Number: 28589 \n \n \nRequired Travel: 0 - 10%\n \n \nEmployment Type: Full Time/Salaried/Exempt\n \n \nAnticipated Salary Range: $96,824.00 - $195,000.00 \n \n \nSecurity Clearance: TS/SCI \n \n \nLevel of Experience: Mid\n \n \nThis opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business.\n \n \nAs a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts.\n \n \nFor more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness.\n \n \nHII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges.\n \n Leadership Mindset at HII - Mission Technologies\n \n \nLeadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:\n \n\n • Know & Grow Your People - Commit to learning and supporting team success.\n, • Build Relationships - Communicate openly, collaborate well, and build trust.\n, • Take Ownership - Deliver on commitments and take pride in your work.\n, • Customer First - Focus on the mission and those we serve.\n, • Shape the Future - Bring ideas, curiosity, and continuous improvement.\n, • Act with Urgency - Take initiative and follow through with purpose.\n\n \nThese capabilities guide how all employees contribute to our shared success across Mission Technologies.\n \n Job Description\n \n \nHII Mission Technologies is seeking a qualified candidate to join our esteemed ADO team in Colorado Springs, CO, and support our valued NORAD/NORTHCOM customer. The ideal candidate should possess extensive experience in various modeling and simulation tools utilized across the Department of Defense (DoD). The integrator should possess a comprehensive understanding of the capabilities of multiple tools, with a general understanding of their operation.\n \n \n THIS POSTING IS CONTINGENT ON FUNDING - FUNDING EXPECTED FY27 \n \n Essential Job Responsibilities\n \n \n\n • Ability to articulate NORAD/NORTHCOM fielding requirements for new M&S systems and upgrades to current systems.\n, • Attends meetings, workshops, and conferences to gather information for Global multi-Combatant Command Exercises and make M&S system recommendations necessary to match specific system capabilities to wargame and exercise requirements by coordinating or creating the associated scenario databases and ensuring NORAD/NORTHCOM data and requirements are integrated into the appropriate systems.\n, • 10%, or less, of the time this role may focus on building the scripts for individual actions that are taking place during Global multi-Combatant Command exercises and operating the models, ensuring the entities in each model are behaving properly throughout the games.\n, • Works in conjunction with another M&S Integrator to support preparation of memoranda, technical plans, and reports to develop the synthetic environment for N&NC wargames and exercises, ensuring the M&S environment provides the capabilities to meet mission requirements for the conduct of wargame and exercise events.\n, • Assesses representation in the virtual environment and provides recommendations for improvement and additional realism. Applies analytical techniques in the evaluation of models and simulations.\n, • Support/planning for 1-2 large wargames and 2 Tier-1 exercises\n, • Self-starter with the ability to independently review strategic documents, incorporate strategic guidance into M&S system recommendations, and communicate guidance and recommendations to stakeholders with a variety of backgrounds\n, • May require travel\n\n \n Minimum Qualifications\n \n LEVEL 3 = 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.\n \n LEVEL 4 = 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.\n \n LEVEL 5 = 15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience.\n \n\n • Must have a minimum of five (5) years of joint M&S planning experience in a Combat Support Agency, Combatant Command, or Joint Staff level. \n, • Must have practical experience in the application of M&S tools for the planning and execution of joint wargames and/or exercises.\n, • Individual(s) should be able to understand and apply joint doctrine.\n, • Intermediate knowledge of M&S architectures and design methodology for experiments using live, virtual, and constructive (LVC) environments.\n, • Comprehensive knowledge of a broad range of modeling, simulation, and analysis techniques.\n, • Familiarity with the operation of a broad range of M&S tools during exercise and wargame execution, and the ability to assess the M&S requirements of a Joint Staff and recommend M&S tools based on those requirements.\n, • Operational expertise or related experience supporting air, land, and/or maritime operations.\n, • TS/SCI security clearance required\n, • THIS POSTING IS CONTINGENT ON FUNDING - FUNDING EXPECTED FY27 \n\n #LI-RM1\n \n Preferred Requirements\n \n \n\n • Battle Control System - Fixed (BCS-F) experience\n, • Real Time Analytical Platform (RTAP) experience\n, • Joint Integrated Missile Defense and Warning Training System (JIMDTS) experience\n, • Distributed Mission Operations (DMO) experience\n, • Air Warfare Simulation (AWSIM) experience\n, • Familiarity with Object-Oriented Programming, Python, C++ - for Advanced Framework for Simulation, Integration, and Modeling (AFSIM) software\n, • IT background (Net+, Sec+, A+, ITIL) to facilitate technical aspects of the Joint Live Virtual Constructive (JLVC) environment\n, • 2+ years Instructor/Evaluator Experience\n\n \n Physical Requirements\n \n \nMay require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances.\n \n \nThe listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.\n \n Meet HII's Mission Technologies Division\n \nOur team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.\n \n \nTo learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 \n \n \nHII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.\n \n Why HII\n \nWe build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.\n \n \nRecognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.\n \n Together we are working to ensure a future where everyone can be free and thrive.\n \nAll qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.\n \n Do You Need Assistance? \n \nIf you need a reasonable accommodation for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

We are partnering with a software company that is the industry leader in voice AI for customer service. They do this with AI that feels human, scales securely, and delivers real business results. Joining them means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. They solve huge challenges with a small team, so every improvement you will ship makes a huge difference. The Machine Learning team empowers enterprise customers and developers on their platform to help create delightful conversations that provide fast and effective resolutions to their clients through contact center automation. They define and build the next generation of bot building paradigms for complex enterprise customer service and contact center automation scenarios. You will be part of a cross-functional group of engineers that are applying the latest research in Generative AI and NLP - including LLMs and other advancements in research into our core product lines. *This is a fully remote role in the US. The max salary is 230k* What you'll do • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields, • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences, • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth, • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment, • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals What you'll bring • 5+ years of software development experience in ML infra, ML tooling, or products with ML usage, • Preferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search), • Excellent communication skills and a vivid imagination, • Passion about engineering and team culture, • You love tackling ambiguous technical problems and developing solutions to problems with significant impact, • You are an independent thinker and like to own and solve complex problems, • You are interested in exploring the nuance and aesthetic of conversations

Automation Engineer -- UiPath -- RPA Developer -- Long-term Contract -- REMOTE (No 3rd Party Vendors / Must be USC or Green Card for this role.) We're seeking to connect Automation Engineers / RPA Developers (UiPath) with a nationally recognized organization on a contract basis. The role is remote with some travel to the Detroit, MI area for meetings. As an Automation Engineer / RPA Developer, you will have the opportunity to join a passionate, motivated team and leverage your expertise in robotic process automation, API integration, and enterprise workflow automation. This role is open to candidates ranging from mid-level to senior, making this a strong fit for automation professionals at multiple career stages. If this role is an ideal fit for you, we want to hear from you. Refactor Talent is committed to connecting top talent with incredible opportunities. We would like to help you succeed as you navigate your career search. Apply now so that we can take these next steps together. About the Role Automation Engineers / RPA Developers (UiPath) will design, build, and support enterprise automation workflows, develop RPA solutions, and collaborate with various stakeholders to align automation efforts with business needs in a remote role with some travel to the Detroit, MI area. Responsibilities • Design, build, and support enterprise automation workflows across finance, underwriting, claims, and business operations, • Develop robotic process automation (RPA) solutions to improve operational efficiency, • Automate business and operational processes across enterprise functions, • Integrate APIs and cloud-based services into automation workflows, • Support document-processing and workflow automation initiatives, • Collaborate with architects, operations teams, and business stakeholders to align automation efforts with business needs, • Participate in Agile/Scrum development processes, • Troubleshoot and optimize existing automation solutions Qualifications • Bachelor's degree in Computer Science, Information Systems, or a related field, • 2–5+ years of hands-on automation engineering experience Required Skills • Experience with RPA platforms such as UiPath (UiPath is Required), • Proficiency in Python, Java, and/or .NET/C#, • Experience consuming and integrating APIs, • SQL/database experience, • Exposure to business operations and workflow automation, • Understanding of Agile/Scrum methodologies Preferred Skills • Insurance or financial services experience is a plus, • Experience supporting Office of CFO or finance operations is a plus, • Knowledge of Lean/Six Sigma methodologies is a plus, • Experience with document-processing workflows is a plus, • Exposure to machine learning or AI-enabled automation is a plus

Active Top Secret/SCI clearance preferred. Candidates without an active clearance must be eligible to obtain and maintain a Top Secret clearance with SCI eligibility. U.S. citizenship is required to meet applicable government security clearance requirements. PREDICTION is building AI systems for some of the most demanding national security environments in the United are hiring an exceptional AI Research Engineer to join our growing engineering and research team in New York. This is not a traditional software engineering role and it is not purely academic research. We are looking for someone who can take new ideas in AI and machine learning, test them quickly, improve them, and turn them into systems that work in the real world. You will work on problems involving multimodal AI, computer vision, video understanding, reasoning, temporal intelligence, sensor data, and large-scale machine learning systems. What You’ll Do • Research, design, and build advanced AI and machine learning systems, • Develop models that reason across video, images, text, structured data, and other signals, • Work on computer vision, multimodal models, vision-language models, temporal reasoning, and behavioral understanding, • Read and implement ideas from the latest AI research and evaluate whether they can solve real operational problems, • Train, fine-tune, evaluate, and optimize machine learning models, • Design experiments and rigorous evaluation frameworks for complex real-world datasets, • Build prototypes quickly and turn successful research into production systems, • Work closely with engineers, AI researchers, and national security experts, • Help define PREDICTION’s technical direction as we develop new AI capabilities What We’re Looking For • Strong experience in machine learning, deep learning, computer vision, multimodal AI, or related fields, • Excellent Python and PyTorch skills, • Experience building and training neural networks, not simply integrating third-party AI APIs, • Experience with one or more of the following: computer vision, video understanding, VLMs, transformers, multimodal learning, object detection, tracking, temporal modeling, sensor fusion, or LLMs, • Strong understanding of modern machine learning research and experimentation, • Ability to move between research, experimentation, and production engineering, • Strong problem-solving skills and willingness to work on difficult, open-ended technical problems, • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Applied Mathematics, Electrical Engineering, or a related technical field Strong Plus • Publications at conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, or KDD, • Experience at an AI research lab, defense technology company, national laboratory, or advanced technology organization, • Experience with real-time video, edge AI, sensor data, geospatial data, autonomous systems, or intelligence applications, • Experience deploying ML models into production or resource-constrained environments, • Active or previous U.S. government security clearance Who You Are You are curious, technical, and highly driven. You enjoy reading a new paper and asking, “Can we actually make this work?” You are comfortable operating without a predefined solution. You can move quickly, run experiments, challenge assumptions, and build. You want your work to have a real-world mission and you want significant ownership over what you create. About PREDICTION PREDICTION is a New York-based U.S. technology company building advanced AI systems for national security. The company was built alongside senior leaders from the U.S. federal government, Intelligence Community, and law enforcement, together with engineers and researchers from leading technology and academic institutions. We are building a world-class team of engineers, researchers, and national security professionals to develop the next generation of AI for mission-critical environments.

Senior Applied AI Engineer $220,000 - $300,000 Base Salary + Equity A high-growth, venture-backed software company is hiring a Senior Applied AI Engineer to help build the intelligence layer behind its platform. This is an opportunity to work on the cutting edge of LLMs, AI agents, retrieval systems, recommendation engines, and applied machine learning, developing products that directly influence customer decisions and business outcomes at scale. You'll join a highly technical engineering team responsible for transforming large volumes of operational and transactional data into intelligent recommendations, automated workflows, and AI-powered experiences used by thousands of customers. What You'll Be Doing • Design, build, and deploy production AI applications powered by LLMs, agents, and machine learning models, • Develop intelligent systems for recommendation, retrieval, ranking, and decision automation, • Build document understanding and information extraction workflows using modern AI techniques, • Create agentic workflows that automate complex customer and operational processes, • Develop evaluation frameworks, observability tooling, and experimentation systems to measure model quality and business impact, • Own the full AI lifecycle from research and prototyping through production deployment and continuous optimization, • Partner closely with Product, Engineering, and customers to identify high-impact AI opportunities, • Stay current on emerging advancements in AI, machine learning, agent frameworks, and LLM technologies Highlights 🤖 Production AI & Agent Development – Build AI systems that power real customer-facing workflows and business decisions 🧠 Work Across the Full AI Stack – Own everything from model experimentation and evaluation to deployment and monitoring 🔎 Advanced Retrieval & Recommendation Systems – Build ranking, search, personalization, and context-aware intelligence products 📊 Own AI Evaluation & Quality – Design testing frameworks, observability tooling, and model performance infrastructure 🚀 High Ownership & Impact – Take ideas from concept to production and influence product direction ⚡ AI-First Engineering Culture – Work alongside a highly technical team leveraging modern AI tools and development workflows 📈 Massive Growth Opportunity – Join during a period of rapid expansion and help shape the company's long-term AI strategy What They're Looking For • 5+ years of experience building and shipping AI, machine learning, or data-driven products, • Strong software engineering skills with Python and/or TypeScript, • Experience developing LLM-powered applications, AI agents, retrieval systems, recommendation engines, or similar AI products, • Strong understanding of experimentation, evaluation, monitoring, and production AI systems, • Ability to independently solve complex technical challenges and drive projects from idea to launch, • Strong communication skills and experience working cross-functionally, • BS, MS, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience) Nice to Have • Experience building agentic workflows or AI-powered automation platforms, • Experience with RAG, embeddings, vector databases, ranking, or personalization systems, • Familiarity with LLM observability, evaluation, or monitoring frameworks, • Experience with modern cloud infrastructure and scalable distributed systems, • Background in commerce, analytics, forecasting, pricing, or operational intelligence products Compensation & Benefits • $220,000 - $300,000 base salary, • Meaningful equity package, • Comprehensive medical, dental, and retirement benefits, • High-impact role with significant ownership, • Opportunity to work on cutting-edge AI products alongside experienced engineers and startup operators

Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists. Responsibilities: • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production, • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning, • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale, • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks, • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies, • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration, • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code, • Implement efficient, scalable data pipelines and inference infrastructure, • Develop high-performance tooling in ML and data engineering Requirements: • Experience building, training, evaluating, and deploying ML models in production, • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models, • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets, • Ability to solve open-ended problems and quickly learn new domains, • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints, • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience Nice to have: • Experience inferring structured, real-world attributes from images, • Experience training models on large-scale, real-world image datasets, • Familiarity with vision-language models (VLMs), • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code, • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance, • Experience in an ML role at a growth-stage startup, • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV) Benefits • Medical, Dental, Vision, STD and LTD Plans, • FSA - Medical and Dependent Care, • EAP and wellness programs, • 13 Paid Holidays, • Unlimited PTO, • Flexible work environment - 100% remote, • 401(k) plan

Are you an experienced AI Architect with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced AI Architect to work remotely at their company. Title: AI Architect Duration: 6 months Location: Remote Overview The AI Architect is responsible for designing, developing, and governing enterprise-grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, data, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost-efficient, and integrated into the broader enterprise ecosystem. Key Responsibilities • AI Strategy & Solution Architecture, • Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies., • Design scalable, secure, and compliant automation solutions to streamline across the enterprise., • Architect end-to-end AI solutions including data engineering, RAG model development, model operations (MLOps), and lifecycle management., • Partner with business, product, and engineering teams to translate business problems into appropriate AI/ML approaches., • Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Technical Leadership • Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability., • Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling., • Support development teams on model selection, training pipelines, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies., • Mentor engineers, analysts, and product teams on AI best practices. Data, Integration & Platforms • Partner with data architects and engineering to ensure robust data pipelines, governance, feature stores, and architecture., • Design secure and performant integration between AI models and enterprise systems (APIs, microservices, events). Governance & Compliance • Ensure AI solutions adhere to enterprise security standards, data privacy policies, and regulatory requirements., • Implement responsible AI guardrails, fairness checks, explainability frameworks, and monitoring., • Develop and maintain automation governance frameworks, documentation, and audit trails. Operations & Optimization • Define MLOps / LLMOps standards including CI/CD pipelines, model monitoring, drift detection, observability, and rollback processes., • Drive continuous improvement of model performance, cost optimization, and operational efficiency., • Establish KPIs, telemetry, and feedback loops for production AI systems. Collaboration & Enablement • Partner with IT, compliance, operations, and customer service teams to align automation initiatives with business goals., • Mentor and guide developers and analysts to build a center of excellence (CoE) for automation. Required Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related technical field., • 5 years of experience in application development, engineering, or solution delivery roles., • 1 year of hands-on experience in AI/ML engineering, data science, or AI solution architecture., • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems)., • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design)., • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling., • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores., • Strong hands-on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools., • Background in RAG systems, model fine-tuning, embeddings, vector storage, and retrieval optimization. Preferred Qualifications • Experience with enterprise-wide AI programs or platform buildouts., • Strong understanding of data governance, privacy, security, and model risk management., • Prior experience with large-scale transformation programs. Location • This position is Work At Home, offering flexibility and convenience for the right candidate.

Ampace (新能安) is a global battery-technology company specializing in lithium-ion cells and systems for energy storage, data centers, and critical power. Our R&D pairs advanced cell chemistry with semi-solid-state technology to deliver safe, high-performance batteries at scale. This position is based at our R&D center in Xiamen, China. Responsibilities: 1. Develop hybrid physics-ML models that predict and optimize cell energy density, cycle life, and thermal behavior., 2. Map core design parameters — coating loading, calendering pressure, electrode porosity — to electrochemical fields such as liquid-phase diffusion, solid-phase overpotential, and heat flux., 3. Extend electrochemical mechanistic models and fuse them with machine learning (physics-informed neural networks, neural operators) into fast multiphysics surrogate models., 4. Lead inverse-design using active learning and Bayesian optimization to cut physical trial-and-error and the number of DOE runs., 5. Design and maintain versioned, high-concurrency simulation data pipelines and an MLOps workflow. Requirements: 1. PhD in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, or a related quantitative or computational field; strong Python and industrial-grade ML/DL project experience on physical or engineering data., 2. Electrochemical mechanistic modeling (SPM, P2D/DFN) or thermal simulation; PyBaMM, COMSOL, or ANSYS a plus; deep understanding of energy-density calculation and aging mechanisms such as lithium plating and SEI growth., 3. Mechanism-ML hybrid methods (PINNs, neural operators, surrogate solvers); Bayesian inference, uncertainty quantification, Bayesian optimization, and active learning; MLOps tooling (DVC, LakeFS, MLflow, W&B) a plus. 新能安（Ampace）是一家全球领先的电池科技企业，专注于锂离子电芯及电池系统的研发与制造，产品广泛应用于储能、数据中心及关键电源等领域。公司结合先进的电芯化学体系与半固态电池技术，致力于打造兼具高安全性、高性能和规模化生产能力的电池产品。 本岗位工作地点位于中国厦门研发中心。 岗位职责 • 开发融合物理机理与机器学习的混合模型，用于预测和优化电芯能量密度、循环寿命及热性能。, • 建立涂布载量、辊压压力、电极孔隙率等核心设计参数与液相扩散、固相过电位、热流密度等电化学场之间的映射关系。, • 基于电化学机理模型进行扩展开发，并结合机器学习方法（如物理信息神经网络（PINNs）、神经算子等），构建高效的多物理场代理模型。, • 基于主动学习（Active Learning）和贝叶斯优化（Bayesian Optimization）开展电池反向设计，减少实验试错成本及DOE（实验设计）次数，提高研发效率。, • 设计并维护支持版本管理、高并发计算的仿真数据平台，建立并持续优化MLOps开发与部署流程。 任职要求 • 计算机科学、应用数学、物理学、机械工程或相关计算类专业博士学历；熟练掌握Python，具备工业级机器学习或深度学习项目开发经验，有物理或工程数据建模经验。, • 熟悉电化学机理建模（如SPM、P2D/DFN模型）或热仿真，具有PyBaMM、COMSOL、ANSYS等工具使用经验者优先；深入理解电池能量密度计算方法及锂析出（Lithium Plating）、SEI膜生长等老化机理。, • 熟悉机理模型与机器学习融合方法，如物理信息神经网络（PINNs）、神经算子（Neural Operators）、代理模型（Surrogate Model）等；具备贝叶斯推断、不确定性量化、贝叶斯优化、主动学习等相关经验；熟悉DVC、LakeFS、MLflow、Weights & Biases（W&B）等MLOps工具者优先。

At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future. Most agentic AI jobs end at a chat window. This one ends with a satellite getting tasked. And that's where you come in! Our client is building a platform where AI doesn't just analyze data; it reasons across it, forecasts what's coming, and acts to save lives across the globe. As their Principal AI Engineer, you own the AI architecture underneath it. Not a feature on someone else’s roadmap, and not a research track that never ships. This is the seat where the agent design, the systems engineering, and the interface people actually touch all belong to one person. Is that person you? What You'll Build: • Agentic systems that act. Architect, prototype, and productionize LLM-driven workflows that take complex, multi-source geospatial inputs and turn them into immediate operational actions, not recommendations someone else has to execute., • Research that reaches production. Work at the edge of autonomous agents, multimodal reasoning, graph networks, and retrieval-augmented systems, then carry that work through to hardened, scalable microservices across cloud and edge., • Performance where it matters. Write clean, fast software across backend services, low-latency data pipelines, and interactive interfaces, using the right language for the job across Rust, C++, Python, and TypeScript., • Features end to end. Own the whole vertical, from algorithmic models and backend microservices up to the interfaces that let non-technical analysts work alongside AI agents with a human in the loop., • Technical authority. Set the standard for AI development, security, and algorithmic deployment across the Innovation, Product, and Core Software Engineering teams. Who You Are: • 8+ years of progressive software engineering, with a track record of designing, training, and deploying AI/ML architectures, autonomous agents, and LLM-driven agentic workflows into production., • Real range across the stack: modern systems programming (Rust, C++), AI orchestration in Python, and web architecture in TypeScript. We are looking for depth in systems work paired with the ability to ship a usable interface, not four equal specialties., • Experience building responsive UI and UX that lets non-technical users interact with complex models and autonomous systems., • Deep fluency in the mathematics and theory behind machine learning, plus the engineering discipline to debug, optimize, and scale model architectures in the wild., • Experience deploying across heterogeneous environments: cloud microservices, Linux containers, local edge nodes, and hybrid infrastructure.

ABOUT US Syniti, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE Role We are seeking a visionary Technical Product Manager to guide the development and transformation of our Master Data Management (MDM) and Governance platform. This role is critical in connecting traditional enterprise legacy systems with innovative, AI-driven data products. The Product Manager will oversee the entire data lifecycle, including cataloging, migration, data quality, and master data governance. The ideal candidate possesses strong expertise in SAP MDG, Informatica, and complex ERP environments, and is also passionate about building and innovating. They are adept at conducting in-depth research with AI agents and creating detailed UI mockups to design an exceptional user experience. The primary objective is to ensure seamless integration of platform modules, optimizing the data lifecycle to establish a "Golden Record" that is precise, useful, and ready for AI applications. What You’ll Do • Strategy & Roadmap: Develop the product strategy for MDM and Governance solutions, identifying opportunities to revolutionize manual stewardship processes with AI-augmented workflows., • Prototyping & UX Design: Design and build mockup screens and interactive prototypes to illustrate complex data stewardship processes. Serve as the lead architect for the platform's user experience., • AI Research & Innovation: Conduct thorough research using AI tools to analyze competitive trends and define the application of LLMs and ML for automated entity resolution, self-healing data, and predictive quality., • Full Lifecycle Integration: Guarantee smooth integration across the data ecosystem, from migration through quality to governance. Work to remove data duplication and use insights from each stage to maximize platform return on investment., • Cross-Functional Leadership: Work closely with engineering teams to ensure products meet governance requirements and remain scalable. Collaborate with Marketing, Sales, and Customer Success to develop go-to-market strategies and ensure successful product launches., • Stakeholder Management: Build strong relationships with major global clients, consultants, and industry leaders to align product roadmaps with real-world business needs. WHAT IT TAKES • The Experience: Bring over 10 years of experience in Data Governance, Data Quality, or Master Data Management in large enterprise settings., • The Technical Core: Demonstrate a proven history with SAP MDG, Informatica MDM, and a thorough understanding of SAP S/4HANA or other Tier-1 ERP systems., • The Modern Toolset: Show proficiency in leveraging AI for productivity and research and be skilled in using design tools such as Figma and v0 to communicate vision through visual mockups., • Education: Hold a bachelor’s degree in business, Tech/engineering Master Data Management, IT, Supply Chain, or possess equivalent professional experience., • The Integrator: Recognize that data governance is integrated with Data Analytics, Reporting, and Dashboarding, ensuring data visibility is prioritized within the product., • The Leader: Act as a self-starter, capable of guiding cross-functional teams to implement product vision in dynamic and complex environments. Key Skills • Visionary Leadership: Develop a clear product vision, establish objectives, and provide mentorship for data management activities aligned with business goals., • Advanced Governance Concepts: Expertly apply Data Management and Governance principles to solve business challenges, such as survivorship rules and hierarchy management., • AI/ML Fluency: Demonstrate advanced understanding of applying AI and Machine Learning to automate data governance bottlenecks., • Communication Excellence: Effectively communicate complex technical topics to varied audiences, including engineers and C-suite executives., • Stakeholder Influence: Build relationships with a wide range of stakeholders to ensure their active engagement and support for data initiatives., • Drive for Results: Maintain a consistent record of achieving goals and objectives, with a focus on reaching stretch goals and fostering innovation., • Analytical Reasoning: Exhibit strong problem-solving skills and the ability to create data-driven product strategies, prioritizing effectively in high-pressure situations. Be fully aligned with our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. By applying for this position, you acknowledge and consent to your image being captured (video or screenshot) for employment purposes, including during the hiring and onboarding process. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you. Syniti discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to: relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Syniti, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for this role is $190,800 - $233,200. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Full-Cycle Technical Recruiter – Startup & Technology Roles 1099 Independent Contractor | Commission-Only Remote | U.S. Based Recruiters only Uncapped Earnings | High-Percentage Placement Commissions About Talent Stack: Talent Stack LLC is a performance-driven recruiting firm supporting high-growth technology startups and established organizations nationwide. We recruit across software engineering, artificial intelligence, infrastructure, product, sales, operations, and other specialized functions. We are seeking experienced recruiters who can independently source, qualify, engage, and close high-caliber candidates for fast-moving technical searches. Why Partner With Talent Stack? • Immediate access to active startup and technical searches, • Established client relationships with no business development required, • Freedom to select roles aligned with your expertise and candidate network, • Opportunity to focus exclusively on recruiting, sourcing, and placements, • Flexible, remote independent-contractor structure, • High-percentage placement commissions, • Uncapped earning potential, • Ongoing access to new searches based on performance and availability Current Hiring Focus Active searches may include: • Full-Stack Engineers, • Backend Engineers, • Frontend Engineers, • AI and Machine Learning Engineers, • DevOps, Cloud, and Infrastructure Engineers, • Product Engineers, • Engineering Managers and Technical Leaders, • Product, Design, Operations, Sales, and Go-to-Market professionals, • Other specialized positions within high-growth technology companies What You’ll Do • Own full-cycle recruiting from sourcing through accepted offer, • Prioritize active searches that align with your recruiting experience, • Source passive candidates using LinkedIn, Boolean search, X-ray search, GitHub, professional communities, referrals, and other channels, • Conduct structured candidate screens covering experience, technical alignment, compensation, location, work authorization, and career motivation, • Present qualified candidates with accurate, compelling submission profiles, • Obtain candidate consent and verify potential duplicate submissions, • Manage candidates throughout interviews, feedback, offer negotiations, and closing, • Maintain consistent follow-up and deliver a professional candidate experience, • Follow all client, confidentiality, and submission requirements, • Track recruiting activity and maintain accurate candidate records, • Work independently while collaborating with Talent Stack on search strategy and candidate calibration What You Bring • 5 or more years of full-cycle recruiting or technical sourcing experience, • Proven success recruiting for technology startups, software companies, or highly technical organizations, • Experience recruiting software engineers and other difficult-to-find technical professionals, • Strong understanding of technical positions, engineering environments, and startup hiring needs, • Advanced sourcing skills using LinkedIn, Boolean search, X-ray search, GitHub, market mapping, referrals, and AI-assisted tools, • Ability to assess candidates beyond keywords and submit only qualified, interested talent, • Strong candidate-management, follow-up, negotiation, and closing abilities, • Excellent written and verbal communication skills, • Ability to manage multiple active searches without sacrificing quality, • Entrepreneurial mindset with the discipline to work independently, • Your own computer, phone, reliable internet connection, and sourcing tools, • Capacity to dedicate a minimum of approximately 20 hours per week, • Availability for necessary communication during U.S. business hours Preferred Qualifications • Existing network of software engineering, AI, product, or startup professionals, • Successful placements with seed-stage through growth-stage technology companies, • Experience supporting venture-backed startups with demanding hiring standards, • Bachelor’s degree in human resources, business, or a related field Compensation • 1099 independent-contractor engagement, • Commission-only compensation, • High-percentage commissions based on successful placements, • Select searches carry total placement fees of $25,000 or more, • No salary, hourly wage, employee benefits, or guaranteed income, • Uncapped earning potential based on recruiter production Who Will Succeed in This Role? This opportunity is designed for an experienced recruiter who already knows how to build a pipeline, engage passive candidates, evaluate technical alignment, and close competitive talent. This is not an entry-level recruiting position or a salaried remote job. It is an independent recruiting partnership for proven recruiters who want access to active searches without having to generate their own clients.

Sales Director About provides rights-cleared, multimodal training data for AI developers and robotics companies, spanning image, video, and audio, as well as egocentric and exocentric (first-person and third-person) capture. We offer off-the-shelf datasets and on-demand collection, all enriched with detailed metadata, along with annotation and model evaluation services that complete a full data stack for AI training. Backed by our global network of more than 20 million creators and multiple production hubs worldwide, delivers diverse, high-quality content at speed and scale. is part of Zedge, Inc. (NYSE American: ZDGE), which operates a portfolio of digital platforms. These include Zedge, a leading marketplace for phone personalization content such as wallpapers and ringtones, and GuruShots, a global photography community that serves as the quality engine behind 's image data. Title: Senior Sales Account Executive, Founding Sales Team Location: Remote first but residing in the Bay Area or greater New York City area. Reports to: President / General Role Overview is looking for a Sales Director to join as a founding member of our sales team as the company scales. This is a player-coach role: you will be among the most senior sales professionals in the company, lead revenue growth across our markets, personally driving strategic enterprise deals with AI labs, computer vision companies, robotics manufacturers, and generative AI developers, while also helping build the sales team, process, and go-to-market strategy from the ground up. You'll work directly with executive management to shape company strategy and help own 's sales results end to end. Key Responsibilities • Lead and grow a high-performing sales team — hiring, coaching, and developing sellers while staying close to the market yourself, • Own revenue growth across AI labs, enterprises, and generative AI companies — building pipeline and driving complex enterprise deals from prospecting through close, • Identify new markets, target accounts, and business opportunities, and build a disciplined outbound sales motion, • Partner with executive leadership on GTM strategy, ICP expansion, new verticals, and strategic opportunities, • Build and scale the sales function — establishing processes, quotas, compensation structures, forecasting, and performance management, • Clearly articulate ’s differentiation and lead complex, custom opportunities in partnership with Data Operations, Annotation, and Licensing, • Build strong relationships with senior decision-makers and represent at industry events and with key industry stakeholders, • Partner cross-functionally with Marketing, Product, Customer Success, and other teams to support market development and inform go-to-market initiatives Requirements • 8+ years of B2B sales experience, with a strong track record as an Account Executive personally carrying and consistently exceeding an enterprise new-business quota, • Working knowledge of the AI training-data landscape (annotation platforms, synthetic data providers, dataset marketplaces) and how 's rights-cleared, human-curated approach differs, • Proven experience building and/or leading a sales team or function — ideally at an early-stage startup or fast-growing tech/data/AI company, • Proven experience selling to or working with companies in AI, Robotics, Computer Vision, Machine Learning, Generative AI, and/or data licensing, with a track record of engaging technical and enterprise buyers and closing complex sales., • Proven experience at companies in the AI training data space, such as dataset marketplaces, data licensing platforms, or data annotation providers., • Experience designing and running a sales process — hiring, onboarding, and coaching sales talent, and setting quotas/compensation structures, • Rich network of researchers, buyers, and decision makers that buy multimodal datasets, run evals and seek annotations, • Strong outbound hunter mentality — track record of self-sourcing and closing new-business pipeline, • Comfortable operating as the most senior sales leader in the company, reporting directly to the President/ Managing Director in an early-stage, fast-paced environment, • Skilled in structuring, negotiating and closing complex, custom deals (licensing, usage rights, scope of work), • Strong executive presence — able to represent credibly with enterprise customers, partners, and leadership, • Proficiency with a CRM (e.g., HubSpot, Salesforce) and modern sales tooling, • Excellent written and verbal communication skills, • Based in the United States and able to work independently in a remote, fast-paced startup environment Nice to Have • Prior experience carrying a VP/Director of Sales title, ideally having scaled a sales org from early stage through growth, • An existing network of buyers/champions at AI labs, model developers, or ML platform companies, • Experience operating as a senior sales leader inside a subsidiary or division of a larger/public company, • Familiarity with data annotation, dataset licensing, or content marketplace business models Benefits: Zedge, Inc., provides a comprehensive benefit program designed to meet the needs of our employees and their families. Benefits include: • Medical and Dental Plans, • Health Care and Dependent Daycare Flexible Spending Accounts, • Short and Long-Term Disability, • Company Paid and Optional Life Insurance, • Business Travel Insurance, • Commuter Benefits, • 401(k) Savings Plan, • Vacation Time with Personal Days and National Holidays Compensation • OTE: $250,000 - $500,000 per year, • This role is eligible for equity The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position and will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. The amount listed is the on-target cash compensation (OTE) and includes base compensation and variable compensation in the form of commission. Zedge, Inc. is an equal employment opportunity employer.

Treeline, Inc., an award-winning sales recruiting and executive search agency, offering strategic sales staffing and recruitment services for leading companies in the United States and throughout North America. Dedicated to facilitating the placement of exceptional top sales talent professionals, Treeline stands at the forefront of advancing job careers of professionals in the sales industry! Keep updated with the latest sales job opportunities nationwide by following Treeline on LinkedIn and activating our New Job Alerts! Company Profile: Our client is a trusted services partner for enterprise AI and data platforms. They deliver end-to-end solutions across data engineering, advanced analytics, machine learning, and generative AI, helping organizations unlock the full potential of their data and drive transformation at scale. From modern data architecture and platform implementation to AI Ops, enterprise enablement, and strategic advisory, they empower clients to solve complex data challenges and build lasting competitive advantage. This is an opportunity to grow key client engagements and serve as a trusted Client Partner in a company that offers remote flexibility, comprehensive benefits, and unlimited PTO! Job Description: • This role is a full sales cycle Account Executive/Account Manager position that manages prospecting, discovery and deal closure while also managing and expanding closed-won accounts., • The Client Partner manages a funnel of inbound and outbound leads through cold outreach, networking, and partner-driven opportunities., • Manage and report on sales pipeline accurately to ensure quarterly and annual revenue targets are met or exceeded. Requirements: • 2–8 years of experience in B2B technology sales, IT services, or SaaS sales., • Experience working in a partner / channel led sales motion, • Interest and Understanding of data platforms, cloud platforms, data engineering, or analytics solutions Location: This is a remote opportunity, where candidates must live in the US or Canada. Expected travel 25% for client and marketing events. Job #5830 Base Salary: $75,000 - $125,000 Total Comp: $150,000 - $250,000

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience). Experience partnering with Machine Learning or Data Science teams.

Keeper Security is transforming cybersecurity for people and organizations around the world. Experience with security, fraud, abuse detection, or anomaly detection systems. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how p

The LS Embedding Machine Learning team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. Staff Machine Learning Engineer. Architect and lead the development of next-generation, large-scale machine learning techniques.

Senior / Staff / Principal Software Engineer (Python) Position Summary We are seeking a highly experienced software engineer to help architect, build, and scale a next-generation AI platform. This individual will serve as a senior technical contributor and thought leader, driving the design of backend systems, platform architecture, APIs, and data services that support complex AI-powered applications. The role offers significant influence over technical direction, engineering best practices, and platform scalability while working closely with product, engineering, and executive stakeholders. Core Responsibilities • Design and architect scalable backend systems, services, and APIs., • Lead the development of mission-critical platform capabilities and technical initiatives., • Drive architectural decisions focused on performance, reliability, scalability, and security., • Mentor engineers and promote engineering best practices across the organization., • Partner with cross-functional teams to deliver innovative AI-powered solutions., • Evaluate and implement new technologies, frameworks, and development approaches. Required Skills • Deep expertise in Python and backend application development., • Experience designing and scaling distributed systems and cloud-native applications., • Strong background building APIs, microservices, and high-availability platforms., • Experience with databases, caching technologies, and large-scale data processing., • Knowledge of system design, software architecture, performance optimization, and security best practices., • Experience working with AI, machine learning, LLMs, or data-intensive applications is highly desirable. Ideal Candidate Profile We're looking for engineers who have operated at the Staff, Principal, Lead, or Architect level and enjoy solving complex technical challenges at scale. Successful candidates will have a track record of building highly scalable platforms, influencing technical strategy, mentoring engineering teams, and delivering impactful products in fast-paced environments.

Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data) Reports to: Head of Data Science About the role Our client, a leader in consumer purchase data and analytics, turns large-scale card transaction data into intelligence for brands, investors and agencies. They’re hiring a Principal Data Scientist to be the hands-on technical lead for the team that turns this data into statistical methods and machine learning models. This is an individual-contributor tech lead role. You’ll guide the work of several data scientists, with a path to people management. A partner team handles data cleaning, merchant resolution and categorization. This role picks up from there: making the data statistically sound and predictive, then shipping it. What you’ll do • Own models end to end: design the methodology, build it, deploy it to production and monitor it., • Build the statistical layer that makes analysis on the data trustworthy: panel weighting, balancing, normalization, cohorting and bias correction., • Build predictive models from past behavior, such as spend prediction, category and brand trend forecasting, propensity and churn, and behavioral embeddings., • Apply causal methods (incrementality, synthetic control, uplift) where the problem calls for them., • Set technical direction, review the team’s work, and explain and defend methodology to stakeholders and clients. Must-haves • Hands-on experience with credit card or card transaction data., • A track record of shipping ML and statistical models to production yourself, not just analysis or prototypes. Strong production engineering in Python and SQL on a cloud data warehouse., • A deep statistics foundation: sampling, weighting and calibration, bias correction, and judging when a result can be trusted., • Predictive modeling and forecasting built on raw, transaction-level behavioral data., • [8+] years of experience, including leading the technical work of other data scientists., • Clear, concise communication of methodology. Nice to have • Causal inference and experimentation, as a complement to ML., • Representation learning and embeddings., • Privacy-preserving ML and data clean rooms. This role is not focused on fraud, AML, credit risk or loss/reserve forecasting, and it is not a pure experimentation or A/B testing role. Keywords: ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML, Cleanrooms, Production ML Pipelines

We are hiring senior security researchers, including faculty, research scientists, and experienced postdoctoral researchers, for a contract project that tests whether frontier AI models can carry out real research work in a command line environment. A PhD in security engineering, machine learning, c

The company is headquartered in San Francisco and operates at the intersection of built environment and advanced machine learning. We’re looking for a Computer Vision / Machine Learning Engineer to help build the intelligence behind Geom. You’ll work on challenging problems at the intersection o

They are looking for an iOS Software Engineer who wants to do more than connect an app to an AI service. Partner with server-side and machine learning engineers to define mobile-facing contracts and improve end-to-end behavior. Contribute to technical decisions and engineering practices in a small t

Ampace (新能安) is a global battery-technology company specializing in lithium-ion cells and systems for energy storage, data centers, and critical power. Clean, model, and analyze cell manufacturing-process data end to end.

Position Overview The Senior Data Scientist, Advanced Analytics, develops machine learning models and advanced analytical solutions that optimize customer acquisition, retention, pricing, and marketing effectiveness. This role leverages predictive modeling, experimentation, and cloud-based machine learning technologies to solve complex business problems and deliver measurable business impact. Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. Key Responsibilities Advanced Analytics & Data Science • Develop and deploy scalable predictive and machine learning solutions that improve customer acquisition, retention, pricing strategies, and marketing performance., • Own the end-to-end machine learning lifecycle, including model design, feature engineering, development, validation, deployment, monitoring, optimization, and continuous improvement to deliver accurate, reliable, and production-ready solutions., • Apply advanced statistical techniques, machine learning, predictive analytics, and experimentation to solve complex business challenges, identify growth opportunities, and optimize business performance., • Develop machine learning solutions using BigQuery ML and Python libraries, including scikit-learn, XGBoost, LightGBM, and pandas., • Communicate analytical insights and actionable business recommendations through compelling visualizations, dashboards, and executive-level presentations., • Research, evaluate, and implement emerging AI and machine learning technologies to continuously enhance analytical capabilities and business outcomes. Data Engineering • Develop robust SQL transformations and scalable data pipelines in BigQuery., • Build reusable datasets, feature stores, and automated model training and scoring pipelines., • Implement model monitoring, performance tracking, and automated retraining processes to ensure long-term model accuracy and reliability., • Ensure data quality through validation, testing, monitoring, and governance best practices., • Partner with Data Engineering and IT to build and maintain scalable analytics infrastructure supporting production machine learning solutions. Business Impact • Improve customer acquisition and retention through predictive analytics., • Optimize pricing strategies through price elasticity modeling and customer response analytics., • Optimize marketing campaigns and sales channel performance using data-driven insights., • Increase operational efficiency through scalable automation and reusable analytical assets., • Deliver accurate, validated insights that influence strategic business decisions., • Build sustainable machine learning solutions that create long-term competitive advantage. Qualifications Required • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Marketing Analytics, or a related quantitative field., • 7+ years of experience in data science, machine learning, or advanced analytics., • Strong programming skills in Python and SQL., • Experience with BigQuery, BigQuery ML, and cloud-based analytical environments., • Hands-on experience with machine learning libraries such as scikit-learn, XGBoost, LightGBM, and pandas., • Strong understanding of predictive modeling, statistical analysis, experimentation, feature engineering, model validation, and machine learning best practices., • Experience building machine learning models and automated analytical pipelines., • Excellent communication skills with the ability to translate complex analytical findings into business recommendations. Preferred • Masters degree in Data Science, Statistics, Computer Science, Analytics, or a related field., • Telecommunications industry experience., • Experience with Power BI or similar visualization platforms., • Experience with speech analytics platforms (NICE, Verint, CallMiner), natural language processing (NLP), and Generative AI/LLM applications.

Description The Leidos Space Force and Air Force Division has an opening for a Space Force Technical Director. The position will be primarily remote but will require onsite work at our Colorado Springs offices, on-contract sites, our Reston HQ, and in-person CONUS and OCONUS customer meetings as needed. Preferred location is Colorado Springs, CO. POSITION SUMMARY: The selected candidate will work with Technology and Growth personnel to understand customer needs and lead initial capability validation and solution development and verification. They will bring mission vision and respective solutions forward through white papers, proof of concepts, presentations, and initial proposal artifacts. This position requires a broad and deep understanding of technology and our customer’s mission to match solutions to challenges, in order to differentiate Leidos from our competitors. The successful candidate will be able to hold executive level and mission stakeholder discussions with our customers to further advance their appreciation of Leidos’ abilities to meet and exceed their mission needs. In addition to growth support, this position will support Space Force Portfolio Managers and program managers with on-contract execution and growth of various SF agency contracts with a focus on the system requirements, development, and implementation of solutions. This support will enable effective requirements decomposition, repeatable engineering and architecture review processes, Department of War (DoW ) compliant configuration management programs, and validation that Leidos on-contract technical and management solutions align with to customer mission needs. CLEARANCE REQUIREMENTS: Must have an active TS/SCI security clearance (US Citizenship Required). PRIMARY RESPONSIBILITIES: • Support on-contract execution of various SF SE&I contract with a focus on the development and implementation of technical solutions to enable effective requirements decomposition, repeatable engineering and architecture review processes, DoW compliant configuration management programs, and validation of Leidos on-contract technical and management solutions alignment to customer mission needs., • Support customer engagement and opportunity strategy development as a technical expert, bringing an understanding of Leidos capabilities, for application to challenges in customer missions., • Collaborate on white papers, RFI responses, proposals, and briefings demonstrating the thought leadership capabilities of the organization, as well as supporting various marketing and business development efforts through customer interaction, • Support business development and capture teams to identify, quality, and pursue opportunities., • Assist capture strategy development through technical leadership, including the creation and marketing of discriminating value propositions, • Support customer meetings and call plan development and execution to understand customer requirements and provide solution presentations to the customer, • Draft OV-1 and initial solution elements and validate with customers, • Support program management and business development reviews and assist in improving the performance of existing projects as required, • Conduct pre-sales engineering activities, to include engaging directly with customers in combination with our Business Development and Operations leadership teams BASIC QUALIFICATIONS: • Requires Masters degree from an accredited institution in a technical or scientific field of study and 15+ yrs of relevant work experience., • Minimum 15 years of progressively responsible experience in relevant technical disciplines, to include support to the DoW, IC, or national security space programs., • Experience (at least 5 years) in three of the following areas, with expertise in at least one: Networking Engineering, Cybersecurity, System Development, AI/ML, Data Science, Data Warehousing, Data Governance, Hardware Engineering, IT Operations, System Architecture, Cloud Architecture, Information Assurance or ITIL Framework, • Systems Engineering expertise across the entire full acquisition lifecycle, from requirements development through operational sustainment., • Extensive experience in the architecture, development, and integration of command & control (C2) systems for space operations, including the ability to integrate disparate data sources focused on access and discovery to support faster decision-making in mission environments., • Experience in running technology analysis, trade studies, product evaluations, or research projects, • Excellent communication skills (writing, speaking, and listening) PREFERRED QUALIFICATIONS: • Proven capability to articulate and champion a forward-looking technical vision that aligns with customer mission priorities, driving innovation and strategic alignment across stakeholders., • Experience performing or technology oversight, • Experience in customer engagements, • Experience developing digital modernization solutions involving data sciences, machine learning, or artificial intelligence, • Experience in writing for business development and capture: i.e., white papers, RFI responses, and proposals, • Hands on experience with any of the major hyper scalers (AWS, Azure, GCP, or OCI), • Proactive researcher of technology that wants to always learn more about the latest in the market, • Demonstrated track record of developing and maintaining customer understanding with mid and senior level leaders across the various departments of the Space Force, • Subject matter expert in the Space Force community with a demonstrated ability to discuss, explain, and apply differentiated capabilities in Leidos programs, plans and positions on current and future programs Remote Interview / Identification Notice * Candidates selected for an interview should note that it will be conducted live via video, with cameras on at all times. As part of our identity verification process, a photo will be taken during the interview to confirm your identity and help protect against fraud. At hire, candidates complete formal identity verification.* If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. October 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

The Company Ailux is an innovative biotechnology company focused on discovering and developing next-generation biologic therapeutics for chronic respiratory and immunological diseases with high unmet medical need. The company integrates advanced computational approaches with rigorous experimental and translational science across the drug discovery continuum, enabling faster and more informed decision-making from target identification through clinical candidate selection. As an AI-native biotech and a subsidiary of XtalPi, Ailux combines proprietary computational models with state-of-the-art wet lab capabilities to design differentiated therapeutics against challenging biological targets. The company has established strategic partnerships with leading pharmaceutical organisations, providing external validation of its scientific platform and discovery capabilities. Looking ahead, Ailux’s vision is to build a fully integrated, end-to-end drug discovery and development organisation capable of delivering the next generation of medicines for patients with chronic respiratory and immunological diseases. By combining advanced AI capabilities with deep biological, translational and clinical insight, the company aims to accelerate the development of differentiated therapeutics with meaningful impact for patients worldwide. Backed by an experienced leadership team, leading scientific advisors and a highly multidisciplinary organisation, Ailux is approaching a key inflection point as its first wave of therapeutic programmes advances toward clinical development. This is an opportunity to help shape the scientific foundations, pipeline and culture of a rapidly growing biotechnology company operating at the intersection of AI, translational science and next-generation therapeutics. The Role We are seeking an accomplished and visionary Group Head, Immunology Biology & Program Lead to establish and lead Ailux’s Immunology Biology organization. Reporting to the VP, Head of Biology, Respiratory & Immunology, this individual will play a pivotal role in shaping Ailux's scientific strategy, portfolio direction, and future pipeline growth. The successful candidate will lead preclinical biology, translational research, and IND-enabling strategies across Ailux's respiratory and immunology portfolio, driving rapid, data-driven progression from target identification through early clinical development for novel biologics, multispecific antibodies, and peptide therapeutics. Working at the intersection of artificial intelligence, computational drug design, disease biology, and translational science, you will ensure that deep biological understanding, disease relevance, and differentiation strategies are embedded at the earliest stages of discovery and translated into clear development recommendations and portfolio decisions. This is a unique opportunity to build and shape Immunology Biology function from the ground up while working at the forefront of AI-enabled drug discovery and partnering closely with AI scientists, protein engineers, and translational experts to develop next-generation medicines. You will have significant influence on target selection, program prioritization, and portfolio strategy while helping unlock the full potential of AI-driven drug discovery. Key Responsibilities Scientific Leadership & Strategy • Establish and lead Ailux's Immunology Biology team, defining scientific strategy, operating model, organizational structure, and long-term functional vision., • Build, recruit, develop, and inspire a high-performing multidisciplinary biology team spanning discovery biology, translational biology, and project leadership., • Define and execute biology strategies supporting both target discovery and program progression from concept through IND and early clinical development, • Drive disease biology understanding and establish robust in vitro and in vivo evidence linking targets and mechanisms to clinical outcomes., • Influence portfolio prioritization and investment decisions through clear, data-driven, and risk-balanced recommendations., • Identify emerging scientific opportunities, new targets, and innovative therapeutic strategies that can expand Ailux's pipeline and competitive differentiation., • Ensure rigorous scientific standards, robust experimental design, and high-quality decision-making across all programs. AI-Driven Discovery & Platform Integration • Partner closely with AI and computational scientists to maximize the impact of machine learning and computational design approaches., • Generate high-quality biological and translational datasets that continuously improve predictive models and accelerate decision-making., • Apply deep biological expertise to ensure AI-generated hypotheses, targets, and molecules are biologically meaningful and clinically relevant., • Help define new workflows that integrate AI-powered target discovery, biologics design, and translational validation., • Champion a data-centric culture that fully exploits the potential of AI to accelerate drug discovery timelines and expand therapeutic innovation. Cross-Functional Collaboration • Collaborate closely with Biology, Protein Engineering, AI Drug Design, Translational Sciences, CMC, Toxicology, Regulatory, and Clinical Development teams to deliver integrated program strategies., • Provide immunology leadership for regulatory interactions and documentation, including IND/CTA submissions, briefing packages, and health authority responses., • Identify, select, and manage external collaborators, academic partnerships, and CROs to ensure scientific excellence and operational efficiency., • Represent biology and immunology expertise in governance and portfolio review forums. Qualifications, Education & Experience • PhD (or equivalent advanced degree) in Immunology, Biology, Pharmacology, or a related scientific discipline., • >7-10 years pharmaceutical industry experience in immunology drug discovery and development., • Demonstrated track record of progressing discovery programs through candidate selection and into clinical development., • Experience leading multidisciplinary teams and influencing organizational and portfolio decisions within matrixed environments., • Strong record of scientific innovation, strategic thinking, and translational problem-solving., • Experience with advanced therapeutic modalities including Monoclonal antibodies, Multispecific antibodies, Engineered biologics, Peptide therapeutics, Long-acting delivery platforms, • Strong understanding of immune-mediated diseases and evolving therapeutic landscapes. Leadership Experience • Proven ability to build, lead, and develop high-performing scientific organizations., • Demonstrated success influencing portfolio strategy, investment decisions, and program direction in highly matrixed environments., • Strong people leadership experience, including recruitment, mentoring, talent development, and succession planning., • Ability to thrive in a fast-moving biotech environment that values scientific excellence, innovation, ownership, and accountability., • Passion for transforming drug discovery through AI, computational biology, and data-driven decision-making. Ideal Candidate Profile The ideal candidate is a scientifically ambitious leader who combines deep immunology expertise with strategic vision, strong people leadership, and enthusiasm for AI-enabled drug discovery. They are excited by the opportunity to shape both an organization and a portfolio, leveraging next-generation computational technologies to discover and develop transformative medicines for patients with immune-mediated diseases. Location: USA, Remote. This role requires international travel.

About Hakimo At Hakimo, we are transforming the physical security industry with AI-powered solutions that help organizations seamlessly monitor, manage, and respond to security events. Our platform integrates advanced machine learning and analytics to modernize traditional security operations into intelligent, proactive systems. Backed by $32M in total funding from Vertex Ventures, Zigg Capital, Neotribe Ventures, Rocketship.vc, and Carrier Ventures, Hakimo has tripled its customer base across multifamily apartments, car dealerships, construction sites and Fortune 500 enterprises. What You'll Do • Own and develop a focused portfolio of Hakimo’s largest and most strategic target accounts, building relationships across executive, operational, technical, and financial stakeholders, • Develop account strategies that position Hakimo as a long-term strategic partner and identify opportunities for large-scale, multi-million-dollar deployments, • Own the entire sales cycle, from strategic account planning and outbound prospecting through discovery, business case development, executive alignment, contract negotiation, and close, • Build deep, multi-threaded relationships across complex organizations, including C-suite and senior executive stakeholders, • Partner closely with Sales Development, Marketing, Customer Engineering, Product, and executive leadership to develop and execute highly tailored account strategies, • Conduct executive-level presentations and product demonstrations that connect Hakimo’s capabilities to enterprise security, operational, and financial priorities, • Build compelling business cases that clearly demonstrate Hakimo’s value, ROI, and ability to support complex enterprise environments, • Maintain a robust pipeline of strategic opportunities and accurately forecast complex, multi-stage sales cycles, • Consistently meet or exceed annual ARR quota while expanding Hakimo’s presence within its highest-value enterprise accounts Requirements • 8+ years of SaaS direct sales experience with a consistent track record of meeting or exceeding quota, • 5+ years successfully selling complex enterprise solutions into large organizations, including Fortune 500 or similarly sophisticated accounts, • Proven experience developing and closing large, strategic, multi-million-dollar opportunities involving multiple business units and stakeholders, • Demonstrated ability to penetrate named accounts, build executive relationships, and develop opportunities through proactive outbound prospecting, • Strong experience navigating complex, multi-threaded sales cycles involving executive, operational, technical, procurement, and legal stakeholders, • Ability to engage credibly with C-suite and senior executives and connect product capabilities to strategic business priorities and measurable ROI, • Strong strategic account planning skills with the ability to identify multiple paths into and opportunities within a large organization, • Thrives in high-accountability environments and consistently drives complex opportunities forward despite ambiguity and long sales cycles, • Self-starter with a growth mindset, capable of managing a concentrated portfolio of high-value strategic accounts in a fast-paced environment, • Exceptional verbal, written, negotiation, and executive presentation skills What We Offer • Huge opportunity for professional growth as we expand into new vertical markets, strategic partnerships, and enterprise accounts, • Be on a team that has an exceptional track record of winning and developing people, • Opportunity to make a real impact at the forefront of AI-driven security innovation, • Competitive compensation package with uncapped commissions, • Equity stock options, • Comprehensive health and wellness benefits, • Unlimited PTO, • Remote-first work environment

About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, Abacus AI Agent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. This person willl be responsible for owning the full sales cycle and driving revenue growth. AEs who consistently exceed their quotas will have a direct path to transitioning into Senior Enterprise AE roles as we scale. Role Overview: Responsible for owning the full sales cycle and driving revenue growth with commercial and enterprise companies. This role focuses on handling the full sales cycle from discovery to close. We are seeking candidates who have at least 2 years of experience in quota-carrying closing role at a fast-paced tech company (preferably a high-growth SaaS startup), in addition to the following: • Full-cycle sales execution—managing the journey from initial discovery and technical validation to final contract negotiation and closing, • Technical proficiency in IT/Cloud—ability to lead credible conversations with DevOps, Engineering, and IT leadership, • Strategic outbound hunting—partnering with SDRs while maintaining a self-sourced pipeline through targeted LinkedIn, email, and cold-call prospecting, • Collaborative deal management—working cross-functionally with Solutions Engineers and Product teams to run successful POCs, • High-agency problem solving—the ability to thrive in an ambiguous startup environment, experiment with new closing strategies, and adapt to a rapidly evolving product roadmap Why Join Abacus AI: • Competitive Compensation Structure + Equity, • Unlimited PTO, • Full Health, Vision, and Dental Benefits

We are seeking a Senior GCP ML/AI Engineer to design, build, deploy, and operationalize production AI and machine learning solutions using Google Cloud technologies. The role is focused on hands-on engineering with Google's ML/AI ecosystem, including Gemini and related GCP AI services. The engineer will develop production ML, Generative AI, and/or LLM solutions in Python and integrate those solutions with enterprise data pipelines. Responsibilities include model and LLM pipeline development, deployment, MLOps, production integration, performance optimization, and technical architecture. This is a hands-on engineering position. The engineer must be able to develop Python code, review code in GitHub, troubleshoot implementations, and contribute directly to production delivery while also operating at a senior technical level. Duration: 6 month contract with extensions Location: Remote with travel Pay range: $40.00-$52.00hr

MimoLabs builds Mimo, an agentic system for making physical things. Describe anything and Mimo helps you make it: he designs the geometry, simulates that it can be made, configures material, process and price, and routes it to production, across 3D printing, CNC, laser cutting and more. Mimo ships today as Mimo Studio for anyone regardless of skill, and we are building developer tools and enterprise solutions for more technical applications. We are a VC funded, experienced technical team, based at Newlab in Detroit and remote across the US. THE PROBLEM YOU WOULD OWN Mimo generates manufacturable geometry and other assets with several methodologies. You will own the pipeline and tooling behind all of that. You will also lead the research practice for which paths we build next. • Generation. The models and pipeline that turn intent into manufacturable assets, served fast and at scale., • Understanding. Part segmentation, semantic classification, and spatial comprehension., • Simulation. Verification and physics driven loops., • Training. Pre- and post-training pipelines and notebooks, checkpoints, and evaluations. WHAT WE LOOK FOR • Shipped or published 3D machine learning. Generation (diffusion or flow models over voxel, SDF or latent-set representations), segmentation, or reconstruction, with results you can show., • GPU depth. You have written or tuned kernels (CUDA, Triton or Warp)., • Serving. Models in production on GPUs, with latency and cost per inference you measured., • Topology optimization and computational design. Generative and physics-driven design methods; watertight repair, remeshing and decimation., • Writing. A go/no-go memo a founder can act on. NICE TO HAVE • Computational mechanics: finite elements, contact, material models; GPU solvers (Warp, multigrid, Krylov methods)., • Rust; CUDA Rust (cuda-oxide, cutile-rs)., • Dataset curation and licensing for research models and weights., • Differentiable rendering, Gaussian splatting, multi-view diffusion., • B-rep and parametric CAD; CAD code generation., • Publications at CVPR, ICCV, SIGGRAPH or NeurIPS. HOW WE WORK Everyone runs several AI coding agents using our custom dev tooling within a proven process. You have the freedom to expand your own tooling and influence how we build and ship fast. Research depth and serving experience matter most for this role; prior experience with coding agents is not required. We are fast, adaptable, and introspective of our work. We celebrate your wins, and feed your creativity. Ultimately, we all love what we are building and wouldn't waste our time doing anything else. Expect our founders up at 2am sending memes while in flowstate building core product and making wild breakthroughs. Remote across the US, with the company's home at Newlab in Detroit and occasional travel there. PAY, EQUITY AND BENEFITS • Equity, four-year vesting with a one-year cliff., • Health, dental and vision through our PEO., • US work authorization required. The role works with customer and partner data held under NDA and may require US-person status for export-control compliance.

Job Title: Senior AI Engineer - Subject Matter Expert III Location: Tysons Corner, VA (Remote) Employment Type: Full-Time Job Summary We are seeking a Senior AI Engineer – Subject Matter Expert III to design and implement AI/ML solutions that enhance enterprise healthcare applications and operational workflows. The ideal candidate will have strong experience in machine learning, Generative AI, cloud-native AI platforms, and enterprise system integration. Key Responsibilities • Design and develop AI/ML and Generative AI solutions, • Build scalable AI services and APIs in cloud environments, • Collaborate with engineering and business teams to identify AI opportunities, • Develop and optimize machine learning models and pipelines, • Ensure AI solutions are secure, scalable, and production-ready, • Support model evaluation, monitoring, and performance tuning, • Provide technical leadership and guidance on AI best practices Required Skills & Experience • 8+ years of software engineering experience, • 3+ years of AI/ML engineering experience, • Strong programming skills in Python or Java, • Experience with machine learning frameworks and AI platforms, • Experience with AWS cloud services and AI/ML tooling, • Knowledge of API development and cloud-native architectures, • Strong analytical and problem-solving skills Preferred Qualifications • Experience with Generative AI and LLM-based solutions, • Familiarity with MLOps and model deployment pipelines, • Experience in healthcare or regulated environments

Location: Remote (U.S.) | Travel: ~20–30% for short on‑site customer visits We're partnering with a rapidly growing data & cloud consultancy that is expanding its pre-sales organization. They are looking for a Solutions Architect who can blend technical depth with customer-facing leadership to support new business, guide clients through complex data initiatives, and ensure long-term success across their modern data platform offerings. What You’ll Do • Lead the technical sales lifecycle from initial discovery through post‑sale handoff and customer growth initiatives., • Clearly articulate a portfolio of services across Managed Services, Data Engineering, and Machine Learning Engineering to both technical and non‑technical stakeholders., • Build strong, strategic relationships with customers while acting as a trusted advisor throughout their data journey., • Support proof‑of‑concepts and short technical engagements that validate solution design and drive deal momentum., • Partner closely with account executives and delivery leaders to craft Statements of Work (SOWs) and shape solution proposals., • Represent the company at industry events, conferences, meetups, and speaking engagements to enhance brand presence., • Translate high‑level business objectives into actionable, scalable data engineering strategies and architectures., • Manage customer expectations, provide post‑sales support when needed, and assist with escalations or project alignment., • Scope complex data initiatives and define the right technical approach for enterprise-scale platform implementations. What You Bring • 5+ years of combined experience as a Solutions Architect and Data Engineer, with a track record of designing and supporting modern cloud data platforms., • Experience expanding enterprise accounts, nurturing long-term customer relationships, and identifying opportunities to cross‑sell or up‑sell services., • Strong background in data migration within large-scale production environments., • Previous technical pre-sales experience with a strong blend of technical depth, customer engagement, and sales-oriented thinking., • Expertise with modern data platforms and cloud technologies such as Snowflake, AWS, Azure, or Databricks., • Advanced SQL abilities, including writing, debugging, and optimizing distributed or complex queries., • Exceptional communication skills and the ability to engage confidently with senior stakeholders., • Demonstrated experience defining large-scale solutions and scoping engineering activities for complex projects., • Willingness to travel for short client meetings (typically 1–2 day trips, ~20–30%).