Role Description We are seeking a highly motivated PhD intern to join Centific’s Vision AI team for a 3–6 month engagement. This is an applied research role for doctoral candidates who want to move beyond the lab and deploy their expertise directly into a live AI operations program. You will be embedded in a production computer vision system processing real-time video feeds across multiple active detection workflows. You will work alongside senior engineers and ML leads to implement, optimize, and measure AI improvement strategies that ship to production on a daily pipeline cadence. The emphasis is on building and shipping: translating model research into working, measurable systems that improve real-world detection performance. Key Responsibilities - Monitor daily pipeline KPIs. - Contribute to post-run analysis. - Document implementation decisions in the team ops ledger. - Assigned to two of the following five focus tracks for the duration of the engagement: - Track 1 — NVIDIA VSS / DeepStream Optimization: Optimize real-time RTSP feed processing and multi-stream batching; configure and tune object tracking to eliminate re-detection false positives and reduce hallucination rates across active surveillance workflows. - Track 2 — Teacher → Student Distillation: Implement and run distillation cycles that compress 20+ epoch full retrains into 3-epoch student passes; maintain and improve three student model variants with daily pipeline integration and performance validation. - Track 3 — SEAL Drift Detection & Auto-Correction: Monitor metrics against a rolling baseline to detect distribution shift; execute targeted fine-tuning or short retraining cycles when drift thresholds are crossed, and systematically reduce recurring false positives. - Track 4 — Self-Distillation & Confidence Calibration: Run self-distillation refinement passes where student models act as their own teachers; apply consistency confidence calibration to narrow confidence intervals, and reduce overconfidence-driven hallucinations. - Track 5 — Student ↔ Student Weighted Peer Learning: Run confidence-weighted ensemble computations across three student model variants, monitor inter-student disagreement rates, route high-disagreement frames to the human review queue, and conduct weekly contribution audits to ensure balanced peer learning and prevent teacher-bias propagation. Qualifications - Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field, with a strong orientation toward applied systems and implementation. - Deep expertise in computer vision fundamentals: convolutional neural networks, transformers (ViT, DETR), and generative models. - Strong proficiency in Python and deep learning frameworks including PyTorch and/or TensorFlow. - Hands-on experience with large-scale dataset processing, annotation workflows, or benchmark construction. - Solid understanding of model training techniques: transfer learning, self-supervised learning, and fine-tuning strategies. - Strong implementation skills: ability to take a model research concept and produce a working, measurable system quickly; comfort operating in a daily-cadence production pipeline environment. - Clear written and verbal communication skills; ability to document implementation decisions, pipeline changes, and performance results for both technical and operational audiences. Preferred Qualifications - Hands-on experience with NVIDIA DeepStream, TensorRT, or TAO Toolkit; familiarity with RTSP stream processing, multi-stream batching, or edge inference optimization. - Familiarity with 3D vision, point cloud processing, or LiDAR-visual fusion (particularly in outdoor surveillance or autonomous systems contexts). - Practical experience with knowledge distillation (Teacher → Student, self-distillation, or peer learning), confidence calibration techniques (temperature scaling, isotonic regression, ECE measurement), or active learning / distribution shift detection. - Prior industry internship experience in AI/ML research or data-centric AI. - Prior experience contributing to a production AI pipeline or daily model training cadence; comfort reading and interpreting confusion matrices, F1/Precision/Recall trends, and confidence interval dashboards as operational signals. - Experience with MLOps tools (Weights & Biases, MLflow, DVC) and cloud platforms (AWS, GCP, or Azure). What You Will Gain - Hands-on ownership of a live, production AI system processing real-world surveillance data daily — with measurable KPI targets, real drift events, and deployment decisions that matter. - Mentorship from senior ML engineers and AI leads with deep expertise in deployed Vision AI systems, model distillation, drift correction, and edge inference optimization. - Direct contribution to measurable performance improvements — reductions in hallucination rate, narrowing of confidence intervals, and F1 score gains — on a live public safety AI program. - Access to proprietary datasets, annotation infrastructure, and compute resources for research experiments. - Attribution and credit in Centific’s IP Vault for implemented strategies and methodology contributions, with potential for technical blog posts, internal white papers, or co-authorship on applied research artifacts arising from the program. - Consideration for full-time opportunities upon PhD completion based on performance. Compensation & Logistics - Compensation: Competitive hourly stipend commensurate with PhD program year and experience. - Location: Remote-first; hybrid options available at select office locations. - Start Date: Flexible — rolling admissions, positions filled as qualified candidates are identified. - Duration: 3–6 months, with possibility of extension. - Equipment: Laptop and cloud compute credits provided. - Rate: $50 per hr. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Role Description We are seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement. Key Responsibilities - Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains. - Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies. - Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases. - Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology. - Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools. - Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources. - Optimize models for accuracy, latency, throughput, and cost based on production requirements. - Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality. - Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements. - Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions. - Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences. - Mentor engineers on applied ML methodology, evaluation rigor, and responsible deployment. - Contribute to internal knowledge sharing, reading groups, and prototype-to-production playbooks. - Influence the broader AI roadmap based on research insight, capability gaps, and emerging opportunities. Qualifications - Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience. - Six or more years of combined research and applied ML engineering experience. - Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX. - Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale. - Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML. - Experience taking ML models from research prototype to production with appropriate observability and safeguards. - Familiarity with distributed training, mixed-precision training, and accelerator hardware. - Strong written and verbal communication skills, including ability to explain complex methods clearly. - Demonstrated ability to read, evaluate, and adapt techniques from current research literature. - Track record of shipping impactful applied AI projects. Preferred Qualifications - Published research at top-tier AI/ML venues. - Experience with large language model training, fine-tuning, or evaluation. - Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures. - Exposure to responsible AI, model evaluation, and alignment practices. - Experience contributing to open-source ML projects. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com .

Title: Audio R&D Engineer Location: Elstree, London England GB Job Description: Cutting Edge Music Tech - On-Demand Vinyl Records We are seeking an Audio R&D Engineer- DSP-focused to help us redefine the music industry. elasticStage is building the world’s first on-demand vinyl and CD platform, unlocking physical music for the Digital Creator era. By 2030, there will be over 250 million music creators globally, most locked out of physical formats due to high minimum runs and operational complexity. elasticStage solves this through patented on-demand vinyl and CD manufacturing technology, powering a free-to-use platform where creators can produce and sell physical releases worldwide with no upfront costs or minimum quantities. And we are scaling fast: - 100,000+ creators are using the product within our first year of commercialisation. - Aiming for 20X growth by 2027. - Partnerships with SoundCloud and Amuse (with more major partners to come!). - Shipped to over 90 countries. - 4.7★ on Trustpilot and Google. - Recently raised a new funding, bringing the total capital raised to £30M. - Just moved to new office in Kings Cross. We are looking for a motivated and results-driven Audio R&D Engineer DSP-focused specialised in DSP to join our dynamic Audio R&D team. In this role, you will be responsible for developing and optimising internal audio tools, improving system robustness, and contributing to the evolution of our audio technology. Responsibilities - Developing internal audio tools - Design, implement, and maintain audio tools (scripts, plugins, and software) based on project requirements. - Improving audio system efficiency - Evaluate existing and ongoing system development with a focus on computational demand and scalability. - Contributing to the audio systems roadmap - Identify and implement solutions to support ongoing and future challenges. - Audio technology ownership - Collaborate with the wider audio team to manage the audio system pipeline and work with the software team to integrate and roll out new features. - Audio system calibration and measurement tools - Develop and implement tools and solutions for calibrating complex physical audio systems through automated measurement. Requirements - Master’s degree in an engineering discipline related to signal processing, audio, acoustics, or electronics. - Proven experience working with signal processing and audio hardware in an R&D team or similar setting. - Knowledge of digital signal processing fundamentals; real-time audio processing, convolution, digital filtering concepts etc. - Experience working with embedded systems and designing DSP systems for limited performance constraints and integrating tools into broader software and hardware architectures. - Experience developing audio software/tools with C++/MATLAB/Python/JUCE systems and using version control systems such as Git. - Knowledge of networked audio systems. - Ability to work independently and take initiative. - Strong communication skills, with the ability to explain complex concepts clearly to team members. Nice to Haves - Experience developing VST/AU/AAX/other format audio plugins. - Experience with developing audio products/tools using audio-specific libraries, SDKs and frameworks. - Experience working with DSP as part of a hybrid system with analog signal paths. - Background in modelling electroacoustic systems. - Familiarity with machine learning applications in audio processing. - Passion for music and audio production. Benefits What We Offer - Industry-Leading Salary Package: Enjoy a highly competitive salary package that rewards your expertise and hard work. - Generous Paid Holiday: Take advantage of 25 days of paid holiday to relax and recharge. - Comprehensive Pension Scheme: Secure your future with our robust pension scheme. - Cutting-Edge Tech Office Environment: Work in a modern, tech-driven office environment equipped with the latest tools and technology. - Free Snacks and Beverages: Enjoy free snacks and beverages to keep you energised throughout the day. - Medical Insurance: Protect yourself with our comprehensive medical insurance plan. Work Location - Enjoy a hybrid work model with the flexibility to work from home, while spending at least 3 days a week in our vibrant London, Elstree office.

Title: Senior Research Engineer Location: USA - Morris Plains, New Jersey time type Full time job requisition id 111389 Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally. Come make an impact every day at Zebra. What We're Looking For: As a Senior Research Engineer you will drive invention and innovation. Deliver and shape differentiated offerings for company’s Priority markets. Develop new technologies and platforms and translate into new strategic growth opportunities. Highlight promising ways to reposition the business through disruptive breakthroughs. Location- ***Role is required to be onsite in Morris Plains, NJ office (Hybrid- Minimum of 3 days in the office per week). • Develops scoping experiments to demonstrate idea feasibility, summarize results and provide rationale for next steps • Develop appropriate experimentation and formulations, trials, testing and characterization requirements, analyses, and other tasks to support project needs. Provide recommendations for next steps • Develop appropriate R&D experimental design, trials, testing, recommendations to support other BU stakeholders and contribute to overall business improvements and growth • Communicating the invention disclosure submission process and engage appropriately with legal team for patent filings. Recommend and identify developments better captured as Trade Secrets • Maintain an organized and tidy workspace to promote efficiency and a safe environment . Identify and recommend specific equipment or capability required for job execution. Embrace and promote a diverse and inclusive culture Required Qualifications: - Bachelor's degree required with 10+ years of experience OR a master's degree with 5+ years of experience. - Research and Development (R&D) experience - Electrical Engineering technology, electronics engineering, electrical engineer, or a related engineering field experience - Experience in wireless systems/protocols (BLE, WiFi, RFID, UWB, etc) - Experience with microcontrollers and SoCs embedded processors Preferred Qualifications: - Proven experience in circuit systematics- layout design and prototyping - Background in Mechanical, Industrial, or Chemical engineering - Experience and familiar with programming languages; C, C++, Python and Firmware coding - Testing and development experience - Sensor development-integration consumer experience - Independent, Self-Starter, Curious, Problem Solver, Analytical, Collaborative - Effective verbal and written communication skills Location- ***Role is required to be onsite in Morris Plains, NJ office (Hybrid- Minimum of 3 days in the office per week). Come join our team! Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com. Know Your Rights: https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at workplace.accommodations@zebra.com . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.