• You will develop a next-generation localization product with a learned map architecture. • You will design and implement visual and acoustic sensor systems for drone detection. • You will develop a multi-sensor perception and fusion system for the drone early-warning system. • You will run machine learning and AI models directly on local sensors rather than on cloud servers. • You will design, build, and maintain scalable models and bring model inference directly to drone-detection devices. • You will implement scalable, low-latency intelligence. • Together with the ML, MLOps, and DevOps teams, you will enable fast and secure deployments. • You will monitor systems, troubleshoot issues, and continuously improve observability. • If desired, you will support on-site operations, collect sensor data, and validate the technology in controlled field trials.

Role Description Comcast Business is scaling Computer Vision–powered solutions as part of the Advanced Technology Solutions portfolio. The “Sr. Director- Computer Vision Solutions” is a customer-facing technical sales leader responsible for owning funnel growth, solution design, technical credibility, sales results, and deployment success across enterprise customers for our Comcast Business Vision Intelligence and IoT portfolio. The primary responsibility is driving revenue growth. Customer-Facing Expertise - Lead technical discovery with enterprise customers to understand environments, workflows, constraints, customer needs/pain-points, and success criteria in order to build a robust funnel. - Design end-to-end Vision Intelligence solutions spanning cameras, sensors, networking, software, and integrations to move qualified opportunities through the funnel. - Drive revenue growth through winning enterprise opportunities in the funnel. - Collaborate tightly with the Comcast Business Enterprise sales organizations as an overlay sales team. Technical Leadership in Sales & Pre-Sales Motions - Serve as the lead Solutions Architect / Sales Engineer in complex customer engagements, collaborating closely with the product organization. - Support Sales teams through technical presentations, discovery and qualification, pricing/proposal delivery, and architecture security reviews. - Respond to technical RFP/RFI requirements and clearly articulate technical tradeoffs, risks, and feasibility. - Lead a team of technical sales facing direct reports. - Collaborate with the Product team to build and deliver on customer requirements. Pilot Execution & Field Enablement - Architect and guide field pilots including site readiness, hardware validation, and network assessments. - Partner with Product, Marketing, and Operations to troubleshoot and optimize real-world deployments. - Drive pilot-to-production transitions with clear technical recommendations and value. Product & Marketing Partnership - Act as the technical voice of the customer, translating field learnings into product and architecture feedback to Product and Marketing teams. - Collaborate tightly with the Marketing team to shape marketing campaigns, messaging, enterprise sales enablement tools, and provide technical and eco-system expertise. Qualifications - 5+ years in Vision Intelligence / Computer Vision enterprise sales roles. - 10+ years in enterprise technology ecosystem. - Deep technical experience with computer vision, video systems, IoT, and networking. - Proven ability to design and communicate complex systems to both technical and executive stakeholders. - Professional communication and executive presentation skills. - Hands-on experience supporting enterprise pilots and production deployments. - Sales leadership experience and proven large enterprise technical sales success. - Travel 50%. Requirements - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience - think and act in ways that put our customers first. - Know your stuff - be enthusiastic learners, users and advocates of our technology. - Win as a team - make big things happen by working together. - Be an active part of the Net Promoter System. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors, and our communities. Benefits - Base pay within the posted range for this role, dependent on job-related, non-discriminatory factors such as experience. - Most sales positions are eligible for a Commission under the terms of an applicable plan. - Most non-sales positions are eligible for a Bonus. - Best-in-class Benefits to eligible employees. - Support for physical, financial, and emotional needs through various options and tools. Education - Bachelor's Degree preferred, or a combination of coursework and experience, or extensive related professional experience. Certifications - Relevant Work Experience: 10 Years + Company Description Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Role Description - Benchmark baseline model performance on a representative image sample. - Measure accuracy against a held-out set and assess data quality. - Evaluate the realistic performance ceiling of the computer vision system. - Translate findings into a decision-grade report for a non-technical executive audience. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Must-Have: 5+ years in computer vision and ML engineering. - Experience classifying or grading physical objects from images. - Strong evaluation discipline in representative sampling and accuracy benchmarking. - Ability to assess feasibility and communicate clearly to a non-technical audience. - Preferred: Experience with authentication, counterfeit, or anomaly detection. - Exposure to private equity diligence or time-boxed advisory work. - Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment. Requirements - Contract type: Hourly contractor. - Compensation: $135/hour. - Location: Remote. - Duration: 3–4 weeks. - Commitment: 20+ hours/week. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: here . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Countering Weapons Of Mass Destruction, Computer Programming Subject Matter Expert Location: Arlington United States Full time job requisition id R0240753 CWMD Computer Programming SME The Opportunity: As an expert programmer, your ability to design and develop innovative solutions inspires you to think bigger, push further, and drive technical advancements forward. We need your specialized skills to tackle some of our clients’ most complex programming challenges and enhance national security through computational precision. As a CWMD Computer Programming SME, you’ll bring your expertise in Python, C++, and Visual Basic to design and implement robust modeling systems that evaluate the impacts of CBRN threats on Air Force operational readiness and air operations. You’ll work alongside defense thought leaders to create accurate simulations and computational frameworks that strengthen CWMD capabilities and mitigate risks. Work with us to develop scalable, repeatable systems tailored to Air Force mission objectives. Implement simulations and models that deliver actionable insights on CBRN impact mitigation and contribute to operational resilience and readiness. You Have: - Experience designing and developing complex software simulations and tools utilizing Python, C++, and Visual Basic for CBRN environments - Knowledge of programming algorithms, systems programming, and simulation modeling frameworks aligned with CWMD policies and air operations - Ability to integrate scientific data into computational models to address CBRN readiness challenges and operational resilience requirements - Top Secret clearance - Bachelor’s degree in CS or Engineering Nice If You Have: - Experience delivering software solutions tailored to CBRN threat mitigation and air operations - Knowledge of mathematical modeling, risk assessment processes, and geospatial software tools used in operational simulation - Ability to create scalable computational solutions that integrate with CBRN operational platforms with minimal disruption to field operations - Master’s degree in Computational Engineering, Mathematics, or Systems Programming - Advanced Tool-specific Programming Certification such as Python Advanced Development Certification, or CBRN-specific Computational Approaches Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen 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 $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.