Role Description Brainspring Learning Centers (Brainspring.com), the leaders in Structured Literacy, is seeking motivated, dedicated, enthusiastic people who are passionate about making a difference. We are expanding our community of expert reading tutors with the goal of delivering high quality virtual instruction to students and families nationwide. Why Join the Brainspring Team? - Free Professional Development - Competitive Pay - Flexible Scheduling - Bonus Incentives for Recruiting Students - Opportunities for Advancement Brainspring Tutors can complete the Orton-Gillingham Dyslexia Specialist Certification practicum free of charge ($4,000 approx. value) while tutoring. Our Phonics First® programs are accredited through both the IDA (International Dyslexia Association) under their Knowledge and Practice Standards for Teachers of Reading and through IMSLEC (International Multisensory Structured Language Education Council) at their Teaching Level and Instructor of Teaching Level. Up to 4 grad credits are available for purchase upon the successful completion of the certification practicum. Qualifications - Bachelor's degree (Education related preferred) - Weekday tutoring availability, particularly during after-school hours - Completion of Brainspring's Phonics First® or Structures® course within the last year or a certified Orton-Gillingham Dyslexia Specialist Requirements - All candidates are subject to a background check. Compensation - $30+/hr based on education, experience and availability Full-Time/Part-Time - Independent Contractor

Your role at DynatraceDynatrace makes it easy and simple to monitor and run the most complex, hyper-scale multicloud systems. Dynatrace is a full stack and completely automated monitoring solution that can trackevery user, every transaction, across every application. Our team is looking for a Lead Data Scientist specialized in Large Language Models (LLMs) to design, build, and scale generative AI capabilities for real-world, enterprise-grade use cases. In this hands-on technical leadership role, you’ll own the end-to-end LLM stack, from data/knowledge, Ingestion and retrieval to prompt and tool-use architecture, evaluation frameworks,safety/guardrails, and cost/latency optimization. Your Tasks • Own the LLM system architecture: Retrieval pipelines, prompt/tool design, routing/fallbacks, safety layers, and telemetry, optimized for quality, latency, and cost. • Establish technical standards for RAG: content ingestion, chunking/windowing, hybrid retrieval, reranking, query understanding, and structured output contracts. • Define evaluation strategy: Create a rigorous eval suite covering answer correctness, attribution/grounding, toxicity/safety, privacy leakage, determinism, latency, and cost. • Formalize LLMOps: Versioning for prompts/datasets/models, experiment governance, prompt and dataset registries, and promotion criteria from dev - staging - prod. • Drive tool/agent design: API schema design for function calling, error handling, recovery strategies, self-correction, and guardrail integration. • Make build-vs-buy calls: Weigh managed providers vs. open-source/self-hosted, considering performance, cost, IP, privacy, and compliance. • Mentoring: Provide deep technical mentorship on prompting, retrieval design, evals, and safe deployment; lead reviews of prompts, pipelines, and evaluation reports. Hands-on Data Science • Implement end-to-end RAG systems: ingestion - chunking - embeddings - hybrid search - rerank - prompt assembly - tool calls - post-processing. • Engineer robust prompts/tools: reusable templates, multi-turn strategies, structured outputs via JSON Schema/Pydantic. • Select/tune models: foundation models, embeddings, rerankers; apply LoRA/PEFT or distillation when justified. • Build eval corpora: golden sets, KPIs for accuracy, groundedness, deflection, tool success. • Implement guardrails: PII/PHI detection, policy prompts, jailbreak resistance, filters, safety scorecards. • Productionize: ship resilient services with analytics, alerts (drift, quality, cost), SLOs, etc. • Optimize for scale: token, latency, cost; caching, context packing, batching, speculative decoding, routing by intent What will help you succeedMinimum requirements: • Advanced CS/AI/ML degree or equivalent, strong ML background. • 7+ years DS/ML, 3+ years NLP /LLMs, shipped production systems. • Python and core ML stack: 5+ years of professional Python. • Data engineering for unstructured data (3+ years): text processing, parsing, embedding- friendly preprocessing. • Proven RAG expertise (1+ years): embeddings, retrieval, reranking, chunking. • Evaluation depth (1+ years): offline/online evals for accuracy, grounding, safety. • Safety/privacy (1+ years): moderation, PII/PHI redaction, policy enforcement. • LLMOps (1+ years): prompt/version management, experiment tracking, monitoring. • Excellent communication: explain trade-offs, drive data decisions. Desirable experiance: • Serving/scaling: vLLM/TGI, Ray Serve, Triton; GPU/CPU trade-offs. • Tuning/distillation: LoRA/PEFT, safety alignment, synthetic data. • Domain: observability, support systems, multilingual, regulated environments. • Cloud/security: Snowflake/AWS, managed vs self-hosted. • Experience with graph-based knowledge bases (e.g., GraphDB, Neo4j) and knowledge graphs to complement RAG systems with entity modeling and relationship-aware retrieval. Why you will love being a Dynatracer• Working models that offer you the flexibility you need, ranging from full remote options to hybrid ones combining home and in-office work • A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries • An environment that fosters innovation enables creative collaboration and allows you to grow • A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals • A truly international mindset with Dynatracers from different countries and cultures all over the world, and English as the corporate language that connects us all • A culture that is being shaped by our global team’s diverse personalities, expertise, and backgrounds • A relocation team that is eager to help you start your journey to a new country, always there to support and by your side. If you need to relocate for a position you’re applying for, we offer you a relocation allowance and support with your visa, work permit,accommodation .

Hello potential future Oatly employee. It’s us, the original oatmilk company that started in Sweden back 25 or so years ago and has since expanded to the U.S. where we’ve continued growing at a rate such that we need more brilliant minds to come work with us to keep the momentum going and the oatmilk flowing. Sustainability, health, and transparency are the core values that guide everything we do. Basically, we exist to help people live a healthier life without recklessly taxing the planet’s resources in the process, and to change the food system for the better. We drive that change through the power of oats and through a significant reduction in cow’s milk consumption. If any of this resonates with you, then maybe you’d like to work for Oatly, too. Now onto the formal stuff. We’re looking for an IBP Lead to guide Oatly NA's end‑to‑end Integrated Business Planning process and keep our demand, supply, and financial plans tightly connected. In this role, you’ll facilitate core IBP forums, collaborate across teams, and use advanced planning tools to strengthen accuracy and decision‑making. Here are the things we want to hire you to do: IBP Process Leadership: - Support the department to continue the development, implementation, and continuous improvement of the IBP process - Facilitate monthly and quarterly IBP meetings to review, challenge, and validate integrated plans - Ensure alignment between demand & financial plans across the business Cross-Functional Collaboration: - Act as a liaison between the different IBP forums, fostering collaboration to synchronize plans and actions - Work closely with senior leadership to align strategic objectives with operational capabilities - Drive consensus among stakeholders to resolve conflicts and achieve integrated plans Forecasting and Planning: - Transcribe the monthly demand forecast and create rolling supply plans on a monthly basis - Develop scenario planning and sensitivity analyses to support decision-making - Monitor performance against plans and provide insights and recommendations for course corrections Data and Analytics: - Utilize advanced analytics (Anaplan/BI) to enhance planning accuracy and decision-making - Ensure the availability and accuracy of data for IBP processes, leveraging digital tools and technologies - Develop and maintain IBP metrics and KPIs to measure effectiveness and drive continuous improvement Change Management: - Champion the IBP governance to embed the IBP culture and practices across the organization, enabling timely & effective decision making - Develop training programs and materials to educate teams on IBP processes and tools - Lead by example, demonstrating best practices in integrated planning and execution Risk Management: - Identify and mitigate risks associated with business planning and execution - Develop contingency plans to address potential disruptions in supply, demand, or operational capabilities Continuous Improvement: - Stay abreast of industry trends and best practices in IBP and related fields - Implement innovative solutions to enhance the efficiency and effectiveness of the IBP process - Foster a culture of continuous improvement and operational excellence Here are the things we think you need: - BA/BS degree in business, supply chain management, finance, or a related field preferred - 5+ yrs experience in business planning, supply chain management, finance, or a related discipline - At least 2-3 years of experience in either Anaplan or other advance planning solutions - Proven track record of leading integrated business planning or sales and operations planning (S&OP) processes - Demonstrated ability to translate strategic objectives to tactical execution plans - Excellent analytical and communication skills, both oral and written - Must be detail-oriented, highly organized, and able to work independently and with limited supervision - Effectively prioritizes multiple demands, ability to be flexible during high workload periods And here’s another list of qualities we think make a good Oatly team member: - You feel connected to our mission of encouraging health, sustainability, and transparency - You are a self-starter who doesn’t need direct supervision to motivate you for success – we believe strongly in building a culture of individual accountability and ownership, and need partners that can embrace that mentality - You are ready to make your mark in a smaller, growing brand, leveraging your experience to deliver amazing results and build an outstanding company - You have an entrepreneurial spirit in that you’re comfortable with ambiguity and are energized by the process of building something lasting from the ground up - You enjoy sharing your quirkiness and talents with your coworkers Another bulleted list felt a bit too…bullet-y. So we wrote this long, awkward sentence to let you know all the ways we sweeten the deal when you work with us, like flexible vacation (take it when you need it), really great benefits (yes, pet insurance is in there), paid volunteer days off throughout the year (doing good is fun), free six packs of...(drumroll)…oatmilk, and you’ll also get genuinely great coworkers who are rooting for each other and the company to thrive. Oh, one more short but very important sentence: We are nimble and agile (not chaotic) in how we work, and we’re grounded in a long company history dating way back to the last century. Our team is available to support you through the hiring process with reasonable accommodations to enable a barrier-free interview experience. We will maintain candidate privacy and confidentiality to enable an unbiased and equitable experience. If you need assistance applying for a role due to a disability or special need, please contact peopleconnect.NA@oatly.com. Oatly 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 veteran status.

• Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments. • Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity. • Develop verifiers and reward models to score trajectories and evaluate model reasoning automatically. • Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry. • Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments. • Optimize environment performance, logging, and reward reproducibility across distributed setups.