Role Description Join our network of independent alteration professionals specializing in prom and special event dresses. - Alter prom dresses, homecoming dresses, pageant gowns, and quinceañera dresses (hemming, bodice/waist, straps, cups, zippers) - Work with structured formal dresses (multiple layers, sequins, beading, linings, tulle) - Conduct fittings, take precise measurements, and communicate timelines clearly - Deliver high-quality finishing and maintain an organized workspace suitable for fittings We also receive requests for wedding dresses, bridesmaid dresses, evening gowns, suits, and other formalwear. Qualifications - Experience with formalwear and/or special event dress alterations - Strong garment construction knowledge + precision measuring - Machine + hand sewing proficiency - Professional communication and customer service Requirements - Experience with formalwear and/or special event dress alterations - Strong garment construction knowledge + precision measuring - Machine + hand sewing proficiency - Professional communication and customer service Benefits - Work from home (independent contractor role) - Local client requests provided through the platform - Flexibility to accept the jobs that fit your schedule - Opportunity to grow repeat clients and reviews through your profile

Title: Global Nutrition Science & Research Lead Location: Alsip Global Job Description: TITLE: Global Nutrition Science & Research Lead LOCATION: Hybrid in Lombard, IL | 1-2 days a week in office COMP RANGE: US $135,000 - $165,000 / year plus bonus Griffith Foods is hiring a Global Nutrition Science & Research Lead to lead the nutrition science and research activities for the company, including the identification, direction, validation and communication of internal and external nutrition research activities. This is your opportunity to provide direction and strategic guidance regarding all nutrition science and research activities, including partnerships, investments and project development and initiation. As a Global Nutrition Science & Research Lead your responsibilities will include: - Develop and lead the global nutrition science & research strategy, aligning current and emerging science with business priorities and long-term aspirations - Coordinate and govern global research activities to ensure methodological rigor, consistency, relevance, and alignment with Griffith priorities - Define and manage priority nutrition research areas, including actionable plans to drive knowledge generation, evaluation, and internal sharing - Serve as the Global Nutrition SME, translating and applying nutrition science internally and externally, including education of teams and stakeholders - Lead external engagement and scientific communication, including partnerships (academia, organizations) and dissemination via publications, conferences, and presentations - Build and maintain scientific foundations for innovation, including substantiation libraries and identification of new ingredients and technologies aligned with nutrition and business goals The Global Nutrition Science & Research Lead position is well suited for you if you: - Enjoy managing multiple priorities and timelines - Use strong technical, problem solving and leadership skills to approach complex projects, communicate progress and success metrics - Work with independence, exercising ingenuity and judgment in the approach to and accomplishment of our initiatives, actions and tasks - Have prior industry experience, particularly in a nutrition science, communications or product development capacity Qualified candidates will have: - MS in Nutrition Science or equivalent - 5+ years’ nutrition experience in the food industry - Must be willing and able to travel up to 20% - Candidates must currently possess unrestricted authorization to work in the United States. Work visa sponsorship is not available for this role. What will set you apart: - PhD in Nutrition Science or equivalent - Registered Dietitian This role is affiliated with our Lombard, IL location, and candidates for this role need to reside within a commutable distance of Lombard or Alsip and will be required to come into Lombard. You may be asked to travel to other locations periodically for meetings. The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical, Rx, Dental, Vision, Flexible Spending & Health Savings Accounts, EAP, Health Advocacy, Financial Planning, Parental Leave, Care.com, Adoption & Surrogacy Assistance, Education Assistance / Tuition Reimbursement, Safety Reimbursement, Lifestyle Spending Account, Group Life & AD&D, Voluntary Life Insurance, Short Term & Long Term Disability, 401(k) Plan with Company Match, PTO, Holiday’s & Leaves, Accident Insurance, Critical Illness Insurance, Hospital Indemnity, Home & Auto Insurance, Pet Insurance, Identity Theft Protection, Long Term Care + Life Insurance & Legal Assistance. There is also potential for a discretionary bonus with a target of 18%. This bonus is based on personal and company performance and is not a guaranteed bonus plan. At Griffith Foods, you can be a member of a globally connected team that is known for true, collaborative innovation, guided by our purpose to Blend Care and Creativity to Nourish The World. We are a family-owned business, founded in 1919 and headquartered in Alsip, Illinois USA. Our product capabilities range from seasonings and marinades to coating systems and sauces that are better for people and better for the planet. At Griffith Foods, we aim to create a regenerative future and build food systems that are sustainable and resilient for both people and the planet. A sustainable supply chain enables us to deliver high-quality products in a way that supports the growers and farming communities. #LI-DS1 #LI-Hybrid

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 .