computer vision engineer

Booz Allen Hamilton

<div>The Opportunity:
 
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi‑sensor fusion algorithms supporting GEOINT‑mission workflows. You will lead the development of deep learning models, real‑time tracking systems, and GPU‑accelerated pipelines deployed in operational environments. You will shape next‑generation tools that integrate imaging physics, ML-based behavior inference, and multi‑sensor fusion.
You&rsquo;ll join a collaborative technical delivery team where you&rsquo;ll contribute to secure, reliable, and user‑centric tools that accelerate mission outcomes.
What You'll Work On:
<ul><li>Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
</li><li>Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.
</li><li>Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
</li><li>Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.
</li></ul>Join us. The world can&rsquo;t wait.
You Have:
<ul><li>6+ years of experience developing computer vision algorithms for detection, tracking, or multi‑sensor fusion in remote sensing or GEOINT environments
</li><li>2+ years of experience applying deep learning to computer vision problems using transformer‑based or self‑supervised architectures
</li><li>Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
</li><li>Experience with administration of continuous integration or continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
</li><li>Experience with Agile met hodology, extreme programming, sof tware engineering, product management, and sof tware products, and acquiring client requirements and resolving workflow problems through automation optimization
</li><li>Knowledge of GPU‑accelerated development using CUDA, RAPIDS, or GPU programming frameworks
</li><li>Knowledge of classical tracking or estimation met hods such as Kalman or extended filters, to support real‑time algorithm development
</li><li>Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi‑GPU servers or cloud
</li><li>Active TS/SCI clearance; willingness to take a polygraph exam
</li><li>Bachelor&rsquo;s degree in a STEM field
</li></ul>Nice If You Have:
<ul><li>Experience with GPU‑accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi‑GPU training
</li><li>Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
</li><li>Experience with advanced estimation, tracking, and fusion techniques such as joint multi‑sensor registration, Bayesian fusion, particle filters, or deep multi‑object tracking pipelines
</li><li>Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, or Triton Inference Server
</li><li>Experience building or optimizing microservice architectures or distributed systems for real‑time data processing
</li><li>Experience integrating CV models into edge, embedded, or latency‑constrained operational environments
</li><li>Experience with transformer‑based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self‑supervised multi‑modal encoders
</li><li>Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on‑premises GPU clusters
</li><li>Knowledge of geospatial data formats, sensor phenomenology, or remote ‑sensing exploitation workflows
</li><li>Master&rsquo;s degree in CS, Electrical Engineering, Computer Engineering, AI / ML, Physics, or Mathematics preferred ; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI / ML, Physics, or Mathematics a plus
</li></ul>Clearance:
 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI 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&rsquo;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&rsquo;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 $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
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.
<ul><li>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.
</li><li>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.
</li><li>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.
</li></ul>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.</div>

Computer Vision Software Engineer, Lead

Ursa Space Systems

<div><h1 class="jobSectionHeader">Applied AI/ML Engineer</h1><h2 class="jobSectionHeader">
About the Role</h2>
Ursa Space turns complex satellite and spatial data into decision-ready answers. Our agentic GeoAI platform lets users ask a question in plain English about a place, an event, or an activity anywhere on Earth and handles the rest: selecting the right data sources, tasking sensors, running analytics, and delivering an insight report in minutes instead of hours.
We're looking for an Applied AI/ML Engineer to help build the intelligence behind that platform. This is a hybrid role by design. Some weeks you'll be deep in computer vision training and deploying object detection and segmentation models on SAR and electro-optical satellite imagery. Other weeks you'll be building agentic systems: designing tool-calling workflows, orchestrating LLM-driven analysis pipelines, and building the evaluation infrastructure that keeps them reliable. The work varies significantly project to project, and the right candidate sees that as a feature, not a bug.
You'll report to the Director of Analytics and work side-by-side with data scientists, image scientists, product owners, and customers. This role may include pre-scheduled on-call rotations requiring occasional evening or weekend technical support.
This is a virtual role and an exempt position.<h2 class="jobSectionHeader">
Job Summary</h2><ul><li>
Design, build, and maintain agentic AI systems that automate stages of the geospatial analysis cycle from natural-language question intake through data selection, multi-source analysis, and report generation</li><li>
Develop tool-use, orchestration, and context-management capabilities that connect LLMs to our geospatial data services, analytics, and 90+ integrated data feeds</li><li>
Conduct Verification and Validation (V&amp;V) against AI/ML and LLM outputs to ensure accurate resulting information</li><li>
Train, fine-tune, evaluate, and deploy computer vision models (object detection, segmentation, change detection) on SAR, EO, and other Earth Observation data</li><li>
Adapt and fine-tune vision-language models (VLMs) to move beyond bounding boxes toward full scene understanding and extracting the meaningful content of imagery, not just locating objects</li><li>
Build evaluation and observability infrastructure for both classical ML (precision/recall, IoU, AUC/ROC) and LLM/agent behavior (task success, groundedness, regression testing), and use it to drive measurable improvement</li><li>
Own projects end to end: from data definition and prototyping through production deployment, validation, and maintenance</li><li>
Work directly with product owners, internal platform users, and external customers to understand needs, translate requirements into agentic system designs, and explain how the technology works to people who experience it as a black box</li><li>
Integrate third-party and multi-source data sets into analysis pipelines</li><li>
Do ad-hoc analysis and answer time-sensitive questions from stakeholders across the organization</li><li>
Act as a technical resource for teammates to bring awareness of new models, techniques, and tools that help the whole team grow</li><li>
Owning measuring actual observed error against budget, not just believing the budget on paper.</li><li>
Adversarial and edge-case testing deliberately probing for failure modes (ambiguous imagery, conflicting sources, out-of-distribution inputs) rather than testing the happy path a developer already validated.</li><li>
Confidence calibration to ensure that a system's stated confidence actually corresponds to real-world correctness rates, which is its own measurement discipline.</li><li>
Experienced with traceability and reproducibility to demonstrate why the system produced a given output, on a specific input, at a specific model/data version.</li><li>
All other duties as assigned.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
B.S. or M.S. in Computer Science, Data Science, or a related STEM field</li><li>
4&ndash;6 years of experience building and deploying machine learning systems for product- or software-focused organizations</li><li>
Strong Python and production software engineering practices: Git, Docker, testing, code review, CI/CD</li><li>
Experience training and deploying deep learning models for computer vision tasks (object detection, image segmentation) using PyTorch or similar frameworks</li><li>
Hands-on experience building LLM-powered applications: prompt design, structured outputs, tool use / function calling, and agentic architectures</li><li>
Experience evaluating ML systems with appropriate metrics &mdash; both traditional (RMSE, FPR/TPR, AUC/ROC, IoU) and LLM/agent evaluation approaches</li><li>
Experience developing and deploying in AWS environments</li><li>
Strong communication skills: able to present findings and explain complex systems to technical and non-technical audiences, including customers</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Prior experience with remote sensing data especially synthetic aperture radar (SAR), GIS, and/or spatial statistics</li><li>
Experience fine-tuning foundation models or VLMs (e.g., LoRA/PEFT, multimodal adaptation for domain-specific imagery)</li><li>
Familiarity with agent orchestration frameworks and protocols (e.g., LangGraph, Claude Agent SDK, MCP) and LLM observability/eval tooling</li><li>
Geospatial Python stack: GDAL, rasterio, geopandas, xarray</li><li>
Experience with SQL/NoSQL databases and vector stores</li><li>
Experience leading projects on complex, cross-discipline teams</li><li>
Familiarity with Confluence, Jira, and Miro</li><li>
Regression and drift detection: did a &quot;small&quot; model or prompt change silently degrade accuracy on a case type that isn't in the dev team's day-to-day test set?</li></ul>
Compensation<ul><li>
Ranges: $185,000 - $199,000.</li><li>
Compensation range includes base salary and is eligible for an annual bonus.</li><li>
New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidate&rsquo;s job-related skills, experience, and expertise, as evaluated during the interview process.</li></ul> 
Inclusion Statement
We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion &mdash; of voices, ideas, and approaches &mdash; and we support this diversity through all our employment practices.
All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.
Location
<ul><li>We are headquartered in Ithaca, NY and have a remote workforce in other locations throughout the United States.</li>
</ul>
Please note: applications without a relevant cover letter will not be considered. In your cover letter, we would like to hear your personal voice and learn about your sincere interest in Ursa Space Systems.
Benefits and Perks
<ul><li>Competitive Compensation</li>
<li>Discretionary PTO &amp; Flexible Scheduling</li>
<li>Stock Options</li>
<li>401(k) Match</li>
<li>Medical, Dental and Vision Coverage for you and your dependents</li>
<li>FSA &amp; HSA Plans</li>
<li>Employer-paid Life Insurance</li>
<li>Employer-paid LTD and STD for Parental and Family Care</li>
<li>11 Paid Holidays</li>
<li>Employee Resource Groups</li>
<li>Educational Assistance Program</li>
<li>Professional Development Opportunities</li>
<li>And more&hellip;</li>
</ul>
Company Values
<ul><li>Use the team</li>
<li>Figure it out and own it</li>
<li>Aim for elegant simplicity</li>
<li>Empower diversity &amp; inclusivity</li>
<li>Do the right thing</li>
<li>Be scrappy</li>
</ul>XIocstDnR5</div>

Applied AI/ML Engineer

Tesla

<div>What to Expect<div>
Tesla uniquely builds foundational AI that moves beyond pixels and through the physical world &mdash; delivering this at scale requires general-purpose robots (Robotaxis &amp; Optimus) capable of navigating complex environments with high precision. Every millisecond counts, as rapid perception &amp; decision-making enables swift responses to dynamic conditions. This is where our Foundations team comes in &mdash; we combine low-level software techniques with modern C++ code to optimize the latency, throughput, and memory of our onboard camera &amp; vision stack. Our work directly enhances both the safety &amp; efficacy of Full-Self-Driving (FSD) as well as humanoid dexterity; this is key to expanding the Robotaxi fleet globally and advancing Optimus' ability to perform intricate real-time tasks with near-human accuracy.</div> 

What You'll Do<div><ul><li>
Write, debug and maintain robust C/C++ code underpinning the entire FSD &amp; Optimus software suite; depending on needs and your interests/skills, you might work on code related to our high frame rate camera &amp; vision stack, design low memory footprint image compression libraries, implement high performance inter-process communication data buffers, improve/extend our image &amp; raw data logging/telemetry code, or make our evaluation/replay software more stable and performant</li><li>
Optimize hardware resources usage, leverage custom hardware components where appropriate</li><li>
Advocate for best coding practices amongst the group, build tools helping engineers to write better code (for instance, performance/memory tracking)</li><li>
Generalize software frameworks when necessary while keeping in mind that too much abstraction can sometimes become a bottleneck</li></ul></div> 

What You'll Bring<div><ul><li>
Experience programming C/C++ software, including modern C/C++ (C++14/17/20)</li><li>
Experience or familiarity with Computer Vision, Machine Learning &amp; related software concepts a plus</li><li>
Experience with performant software design, object-oriented C++, compiler design and/or hardcore lower-level C code</li><li>
Proficient developing software on a Linux host, for embedded Linux targets (cross-compilation, etc.) a plus</li><li>
Experience with at least one of the following preferred: imaging software, Cuda/OpenCL, SIMD, multithreading, Linux system software (posix etc.), &amp; computer vision</li><li>
Degree in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields with practical software engineering experience, or equivalent experience</li></ul></div> 

Compensation and Benefits<div>
Benefits</div><div>
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
<ul><li>Medical plans &gt; plan options with $0 payroll deduction</li>
<li>Family-building, fertility, adoption and surrogacy benefits</li>
<li>Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution</li>
<li>Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits</li>
<li>Company paid Basic Life, AD&amp;D</li><li>
Short-term and long-term disability insurance (90 day waiting period)</li>
<li>Employee Assistance Program</li>
<li>Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays</li>
<li>Back-up childcare and parenting support resources</li>
<li>Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft &amp; legal services, and pet insurance</li>
<li>Weight Loss and Tobacco Cessation Programs</li>
<li>Tesla Babies program</li>
<li>Commuter benefits</li>
<li>Employee discounts and perks program</li>
</ul></div><div>Expected Compensation</div><div>
$140,000 - $360,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</div> 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

Software Engineer, C++ Generalist, AI Systems & Infrastructure

SportsBiz Group Inc

Lead AI &amp; Computer Vision Scientist<ul><li>Role: Lead AI &amp; Computer Vision Scientist</li><li>Location: 100% Remote (US / Canada/Europe/South America)</li><li>Current Company Valuation: $30M</li><li>Compensation Model: Day-1 Equity + Post-Funding Salary</li></ul>The OpportunityAre you a visionary interactive developer who thrives at the intersection of cutting-edge AI-native technology and early-stage startup grit?SportsBiz (SportsBiz.com) is disrupting the $100B sports sponsorship industry. Having already established a leadership foothold with our proprietary AI analytics platform, DeepSport Solutions, we are now expanding our ecosystem. We are seeking an elite AI expert to CV-based products from concept to production &mdash; not just research prototypes.architect and scale our from the ground up.This is not a corporate cog-in-the-wheel role. You will act as a player-coach, building and working on a team data scientists, establishing the technical blueprint, and directly shaping the future of sports sponsorship technology. Must have strong team leadership experience. Our clients span both major corporate sponsors (brands) and sports properties (teams, leagues, and events).The Reality of Early-Stage Building (Our Culture)Transparency is our baseline. We are a lean, high-octane team of 20+ co-founders and executives hailing from Fortune 500s and top-tier boutique firms.<ul><li>Current Company Valuation: $30M</li><li>The Phase: We are currently preparing to close our $5M second-round capital raise, which is anticipated by the end of Q3.</li><li>The Compensation: In alignment with our leadership team, this role operates on an equity (stock only) model prior to funding. You will receive meaningful equity ownership from day one, alongside routine cash stipends.</li><li>The Full-Time Transition: Upon the successful completion of our present $5M fundraise, you will transition immediately to a highly competitive, full-time base salary and performance bonuses. Base Salary: $120,000.</li></ul>If you are energized by the high-upside equity phase of a startup and want true, structural ownership of a product, this is your sandbox.What You'll Own<ul><li>Own the video processing pipelines. Be the directly responsible individual for the pipelines that detect broadcast exposure and assess its value &mdash; their technical roadmap, quality, and delivery, from research through production.</li><li>Scale to league level. Architect and deliver the systems that take these pipelines from single venues and teams to processing all games across major leagues (NFL, NHL, MLB) and major college football conferences, with the throughput, reliability, and cost profile that scale demands.</li><li>Own the computer-vision core. Lead detection and identification of sponsorship signage and branded assets in video. Continuously evaluate and prototype alternative approaches &mdash; models, architectures, tooling, and vendors &mdash; to keep the pipeline at the frontier of a rapidly advancing field.</li><li>Own the full valuation workflow. Take a system-level view of the entire pipeline: tracking signage into impressions, scoring those impressions, and translating them into a defensible dollar value of brand exposure. Ensure each stage is measurable, explainable, and defensible to clients.</li><li>Engineering rigor. Drive strong software practices across the team &mdash; clean, tested, maintainable Python; a disciplined SDLC; and robust CI/CD, so research reliably becomes production.</li><li>Lead and grow the team. Manage, mentor, and hire data scientists and ML engineers. Set technical standards, run reviews, and develop the people around you.</li><li>Cross-functional partnership. Work with product and commercial teams to translate client needs into technical requirements, and communicate methodology and results to non-technical stakeholders with credibility.</li></ul>What We're Looking For<ul><li>Delivered a computer-vision product. Proven experience taking a CV-based product from concept to production &mdash; not just research prototypes.</li><li>CV models on AWS. Hands-on experience developing and deploying computer-vision models on AWS infrastructure, such as SageMaker.</li><li>System-level thinker. Able to own a multi-stage workflow end to end &mdash; detection, tracking, scoring, and valuation &mdash; and reason about how choices in one stage affect the whole.</li><li>Deep Python and software-engineering depth. You are a strong software developer, not only a modeler. Fluent in Python with real command of the SDLC and CI/CD.</li><li>Scale experience. Track record building or operating data/ML systems that handle high volume reliably and cost-effectively.</li><li>Leadership. Experience leading and mentoring technical talent; comfortable owning outcomes and setting direction.</li><li>Stays current. Actively tracks the evolving CV and ML ecosystem and has a habit of evaluating and adopting better approaches.</li><li>Communication. Explains technical methodology and results clearly to both engineers and business stakeholders.</li></ul>Nice to Have<ul><li>AWS-based workflows. Experience implementing production data or ML workflows on AWS.</li><li>AI-forward practitioner. Hands-on adopter of AI in your own workflow &mdash; you use coding agents and AI-assisted development day to day.</li><li>AI-driven workflows. Experience designing or building AI-driven pipelines and automation.</li><li>Sports / media domain. Familiarity with sports broadcast, sponsorship measurement, or media valuation.</li><li>Video at scale. Experience with video ingestion, streaming, or large-scale media processing infrastructure.</li></ul>What Success Looks LikeWithin your first year, the video processing pipelines reliably run at league scale, the computer-vision core is measurably more accurate and more current than it is today, and the impression-to-dollar valuation is trusted by clients and defensible under scrutiny &mdash; backed by a strong team and engineering practices you&rsquo;ve helped build.SportsBiz is an equal opportunity employer. We welcome applicants from all backgrounds.Minimum Qualifications<ul><li>Experience: 8+ years of professional experience, with a minimum of 4-5+ years dedicated specifically to Computer Vision and alogorythmic modeling.</li><li>Technical Mastery: Flawless skills and a bulletproof understanding of rendering algorithms and data structures.</li><li>Leadership Toolkit: Proven history of leading engineering teams, managing agile pipelines, and mentoring junior/mid-level talent.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, or equivalent practical field.</li><li>Portfolio: A stellar portfolio demonstrating complex, production-ready work in AI engineering and computer vision.</li></ul>Nice-to-Haves<ul><li>A genuine passion for sports analytics, gaming, or data-driven visual experiences.</li><li>Experience integrating AI-assisted development tools (like Cursor or Claude Code) into your production workflows.</li></ul>Perks &amp; Benefits<ul><li>Founding Equity: Meaningful ownership (Employee Stock Ownership Plan) in a high-valuation startup.</li><li>Immediate Cash Stipends: Ongoing routine stipends provided prior to our major funding round.</li><li>100% Remote &amp; Flexible: Work from home with a schedule optimized for async, high-output productivity.</li><li>Uncapped Trajectory: As a foundational engineering leader, your career growth scales directly with the company's valuation.</li></ul>Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>Paid time off</li><li>Stock options</li></ul>Experience:<ul><li>Unreal Engine: 5 years (Required)</li></ul>Work Location: Remote

Lead AI & Computer Vision Scientist

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Applied AI Engineer 
Location: 100% Remote (Continental United States) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000&ndash;$150,000 Annually 
Experience Required: 6+ Years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.<h3 class="jobSectionHeader">
Job Summary:</h3>
We are seeking an Applied AI Engineer to design, develop, and deploy production-ready AI and machine learning solutions. The ideal candidate will have expertise in Python, PyTorch or JAX, deep learning, LLMs, computer vision, NLP, and ML pipelines, with experience taking AI models from research to production while optimizing performance, scalability, and reliability.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Design, build, and deploy AI/ML solutions for real-world business problems.</li><li>
Develop and optimize training and inference pipelines.</li><li>
Train, fine-tune, and evaluate deep learning and LLM models.</li><li>
Collaborate with cross-functional teams to deliver scalable AI applications.</li><li>
Monitor model performance, data quality, and production reliability.</li><li>
Document solutions and contribute to AI best practices.</li></ul><h3 class="jobSectionHeader">
Required Qualifications:</h3><ul><li>
6+ years of experience in applied AI, machine learning, or deep learning.</li><li>
Strong proficiency in Python and PyTorch or JAX.</li><li>
Experience with LLMs, NLP, computer vision, distributed training, and ML deployment.</li><li>
Strong understanding of machine learning, statistics, and model evaluation.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Experience with LLM fine-tuning, RAG, agentic AI, or multimodal AI.</li><li>
Publications, open-source ML contributions, or experience with Responsible AI.</li></ul>
Interested in this opportunity? Apply today for immediate consideration!
Email your updated resume: jaya@bvteck.com 
Call or Text: (908) 505-3545 
Learn more: www.bvteck.com
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
hRyF7l0Fgk</div>

Applied AI Engineer

Cherokee Federal

<div>Systems Administrator Expert
As required by our governmental client, this position requires being a US Citizen AND an active TS/SCI with Full Scope Polygraph clearance.
The System Administrator &ndash; Expert provides critical support in designing, troubleshooting, and implementing secure systems and infrastructure. This role focuses on developing systems and ensuring systems comply with security requirements. 
Compensation &amp; Benefits:
Estimated Starting Salary Range for Systems Administrator Expert : $170,000.00 - $210,000.00
Pay commensurate with experience.
Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.
Systems Administrator Expert Responsibilities Include:
<ul><li>Ability to troubleshoot cloud (AWS) implementation issues.
</li><li>Solve software (Linux) issues and software development.
</li><li>Proven success working as a DEVOPs systems engineer and technical admin.
</li><li>Agile Methodology and continuous improvement mindset
</li><li>GitHub experience and other source control systems
</li><li>Strict adherence to security standards and organizational requirements
</li><li>Willingness to mentor and train other engineers as well as seek to continually improve processes.
</li>Performs other job-related duties as assigned 
<li>
</li></ul>Systems Administrator Expert Experience, Education, Skills, Abilities requested:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, or related field preferred.
</li><li>Minimum of 11 years of experience in system engineering or related IT security roles.
</li><li>Hands-on experience working within AWS/Azure/cloud environments
</li><li>Hands-on experience developing with Python, Ansible, Opentext NNMi, Cisco NSO
</li><li>Strong DevOps focus and experience building and deploying infrastructure with cloud
</li><li>Deployment technologies like Ansible, Chet, Puppet, etc.
</li><li>Experience with test-driven development and automated testing frameworks
</li><li>Experience with Scrum/Agile development methodologies
</li><li>Capable of delivering on multiple competing priorities with little supervision
</li><li>Excellent verbal and written communication skills
</li>Must pass pre-employment qualifications of Cherokee Federal 
<li>
</li></ul>Company Information:
Cherokee Preting (Preting) is a part of Cherokee Federal &ndash; the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government&rsquo;s mission with compassion and heart. To learn more about Preting , visit cherokee-federal.com.
#CherokeeFederal #LI-CK4 #IntelCareers 
Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
Similar searchable job titles:
<ul><li>Information Systems Security Engineer (ISSE)
</li><li>Cybersecurity Systems Engineer
</li><li>Security Accreditation Specialist
</li><li>Risk Management Framework (RMF) Engineer
</li><li>Systems Security Analyst
</li></ul>Keywords:
<ul><li>Security Documentation
</li><li>Risk Management Framework (RMF)
</li><li>Authorization &amp; Accreditation (A&amp;A)
</li><li>Systems Security Plans (SSP)
</li><li>Compliance Coordination 
</li></ul>Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law. Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.
Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.</div>

Systems Administrator - Expert

<div>AI Security Engineer &ndash; Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: AI Security Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $80,000&ndash;$105,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Cybersecurity, or a related discipline.</li><li>
Six or more years of security engineering experience, including significant work on AI or ML systems.</li><li>
Strong understanding of LLM internals, modern AI architectures, and common failure modes.</li><li>
Hands-on experience designing security controls for AI-powered applications.</li><li>
Deep knowledge of application security, identity, and cryptography fundamentals.</li><li>
Experience with threat modeling and security architecture review processes.</li><li>
Familiarity with adversarial ML, prompt injection, and model abuse research.</li><li>
Proficiency in Python and at least one systems language.</li><li>
Strong understanding of cloud security and modern infrastructure controls.</li><li>
Excellent written and verbal communication skills.</li></ul>
Preferred Qualifications<ul><li>
Publications, talks, or CTF participation in AI security topics.</li><li>
Experience with red-teaming LLM-based products.</li><li>
Familiarity with privacy-preserving ML techniques such as differential privacy.</li><li>
Exposure to regulated industries with strict data handling requirements.</li><li>
Open-source contributions to AI security tooling.</li></ul>
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. 
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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AI Security Engineer

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