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Job Description About Medical Guardian: Founded in 2005, Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we’re redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Medical Guardian boasts a 95% customer satisfaction rate, a #1 ranking on 16 medical alert consumer choice sites and achieves a 4.7+ star rating on Google Reviews. Position Overview: We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness. This is a hands-on model-building role first. The ideal candidate should be comfortable spending most of their time working directly with data, features, models, scoring logic, validation methods, production workflows, and model improvement. They should also be able to operate with the maturity of a principal-level engineer: shaping unclear problems, making pragmatic technical decisions, mentoring others, and driving work forward without waiting for perfect requirements. Key Responsibilities: Hands-On Model Development • Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support., • Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation., • Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness., • Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features., • Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries., • Move quickly from data exploration to prototype to validated model to production-ready capability. Scoring, Scorecards, and Transparent Models • Design and implement predictive scores, risk tiers, score bands, thresholds, cut points, and intervention logic., • Build transparent and interpretable models where explainability is important, including logistic regression, generalized linear models, decision trees, monotonic models, calibrated models, scorecard-style models, or explainable boosting approaches., • Evaluate models for accuracy, calibration, stability, drift, fairness, interpretability, and operational usefulness., • Help stakeholders understand what a score represents, how it should be used, how it should not be used, and how changes in the score should be interpreted., • Document model logic, features, assumptions, limitations, validation results, and recommended usage in a way that business and technical stakeholders can understand., • Define the evidence needed to show that a model or score is valid, stable, explainable, actionable, and useful. Production ML and MLOps • Partner with data engineering, analytics engineering, platform engineering, and application engineering teams to move models from experimentation into reliable production workflows., • Support model deployment, batch scoring, real-time or near-real-time inference, model versioning, monitoring, retraining, and performance tracking., • Help define data pipelines, feature pipelines, inference flows, model outputs, feedback loops, and monitoring requirements., • Ensure models are observable, supportable, secure, scalable, and aligned with enterprise architecture and governance expectations., • Establish practical monitoring and feedback loops to determine whether models continue to perform and create value over time. Product and Rapid-Build Execution • Operate effectively in a rapid-build, startup-like environment where speed, ownership, and pragmatic decision-making are important., • Turn early-stage ideas, ambiguous business needs, and rough concepts into working ML products, scores, prototypes, and production capabilities., • Bring a product-engineering mindset to ML development, including user needs, workflow integration, adoption, usability, feedback loops, and measurable outcomes., • Drive work forward without waiting for perfect requirements, while still identifying critical assumptions, risks, dependencies, and evidence needed before scaling., • Partner with business and product stakeholders to define MVPs, iterate quickly, learn from usage, and improve models over time., • Make smart tradeoffs between quick prototypes, durable platforms, transparent models, GenAI-enabled workflows, and longer-term ML architecture. Generative AI and AI Automation • Support the design and development of GenAI-enabled solutions, including LLM-powered workflows, RAG, summarization, conversational agents, document intelligence, and decision-support tools., • Help evaluate when GenAI is appropriate versus when traditional ML, rules, analytics, or transparent scoring models are a better fit., • Partner with product, engineering, and business stakeholders to integrate predictive models, scores, and GenAI outputs into practical workflows., • Apply appropriate evaluation, guardrails, monitoring, privacy controls, and human-in-the-loop processes for GenAI use cases., • Help the organization balance innovation with explainability, safety, reliability, privacy, and operational usefulness. Requirement Shaping and Stakeholder Partnership • Work directly with business, product, analytics, operations, and engineering stakeholders to clarify what a model is intended to predict, explain, recommend, or trigger., • Translate business questions into measurable ML objectives, target variables, features, validation approaches, and success metrics., • Ask practical questions early: who will use the score, what action will it inform, what does a false positive or false negative mean, and how will we know the model is creating value?, • Communicate model behavior, tradeoffs, limitations, and recommended usage clearly to both technical and non-technical audiences., • Help the team avoid becoming an AI ticket factory by shaping solutions, not just executing requests. Principal-Level Technical Leadership • Provide technical leadership through hands-on example, strong engineering judgment, and clear recommendations., • Proactively identify model risks, data gaps, unclear requirements, design issues, and opportunities for improvement., • Help establish practical standards for model development, validation, documentation, monitoring, and production readiness., • Mentor other engineers and data scientists through code reviews, design reviews, modeling guidance, and shared best practices., • Demonstrate high ownership by driving clarity, execution, and continuous improvement. Required Qualifications: • 8+ years of professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields., • 5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration., • 3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments., • Strong hands-on experience with Python and SQL., • Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies., • Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management., • Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes., • Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders., • Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability., • Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment. Preferred Qualifications: • 10+ years of relevant professional experience in ML, data science, applied AI, software engineering, decisioning systems, commercial software, or production analytics., • Experience building scorecards, risk scores, health scores, engagement scores, churn scores, fraud scores, credit-style models, prioritization models, or operational decision-support models., • Experience with transparent or interpretable models such as logistic regression, GLMs, GAMs, decision trees, monotonic models, calibrated models, scorecard-based models, or Explainable Boosting Machines., • Experience designing score bands, thresholds, risk tiers, intervention rules, recommended actions, or decision logic based on model outputs., • Experience working in commercial software, SaaS, digital products, gaming, fintech, healthtech, consumer technology, marketplace, or other product-driven environments., • Experience building ML, AI, analytics, or decisioning capabilities embedded into customer-facing products, operational workflows, commercial platforms, or revenue-impacting systems., • Experience in startup, scale-up, innovation lab, new product development, or rapid-build environments where the candidate had to operate with ambiguity and drive work forward independently., • Experience partnering with product managers, designers, software engineers, business leaders, and operational teams to turn ML models into usable product capabilities., • Experience building MVPs, validating assumptions, iterating based on feedback, and maturing prototypes into production systems., • Experience with GenAI, LLMs, RAG, AI agents, prompt engineering, model evaluation, conversational AI, summarization, document intelligence, or AI-enabled workflow automation., • Experience combining traditional ML models with GenAI-enabled workflows, such as using predictive scores to trigger outreach, summarize customer/member context, recommend next actions, or support human decision-making., • Experience in healthcare, population health, remote patient monitoring, insurance, financial services, safety, operations, or other domains where model trust and explainability are important., • Experience with MLOps practices including model registries, deployment pipelines, monitoring, drift detection, retraining strategies, and model governance. Success in This Role Looks Like: • High-quality models and scores are built, validated, deployed, monitored, and improved over time., • Model outputs are explainable and trusted by business and operational stakeholders., • Scores are connected to real decisions, workflows, interventions, or measurable outcomes., • The organization moves faster because this person can turn ambiguity into working ML capabilities., • The ML team has stronger standards for model development, validation, documentation, monitoring, and production readiness., • Business partners understand what the models do, how to use them, where their limitations are, and how to interpret changes in outputs., • The team avoids building models in isolation and instead builds ML capabilities that are connected to products, workflows, users, and business value., • GenAI is applied thoughtfully where it improves workflow, decision support, summarization, automation, or user experience, without replacing appropriate model governance or human judgment. Requirements Benefits • Health Care Plan (Medical, Dental & Vision), • Paid Time Off (Vacation, Sick Time Off & Holidays), • Company Paid Short Term Disability and Life Insurance, • Retirement Plan (401k) with Company Match

Job Description POSITION OVERVIEW NBME is looking for a Data Engineer to join a highly skilled and growing team of data engineers and BI developers. This team successfully launched and enhances a data product on AWS for medical doctors. Read more here. In this role, you will use your data engineering and problem-solving skills to deliver meaningful insights to internal staff and external customers. The Data Engineer will help modernize, expand, and optimize NBME's data platform by building data lakes, complex data integration pipelines, and scalable data solutions that support analytics, AI/ML, and business decision-making. This role will apply AI-assisted engineering practices to improve development efficiency and share best practices for AI assisted engineering across the IT organization. While this role can be designated as remote, you are offered the flexibility to select if you prefer to work primarily remotely, hybrid, or onsite. We're open to considering candidates within 50 miles of our office location in Philadelphia, PA. Please note that onsite interviews and onboarding at our Philadelphia office may be required for this role. If applicable, advance notice will be provided to support planning. At NBME, we continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come. RESPONSIBILITIES • Code, test, deploy, orchestrate, monitor, document, and troubleshoot cloud-based data engineering processes, feature stores, and vector databases in accordance with best practices and security standards throughout the development lifecycle., • Partner closely with data scientists, AI researchers, data and enterprise architects, and business stakeholders to identify, extract, clean, and format structured and unstructured data for AI/ML model training, fine-tuning, and feature extraction., • Lead evaluation, research, and experimentation efforts with batch and streaming data technologies, LLM data preparation frameworks, and MLOps tools to keep pace with industry innovation, • Act as a technical lead to showcase the capabilities of emerging AI and data technologies, enabling the widespread adoption of modern data techniques across the organization., • Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice, • Educate and develop ETL developers on data engineering cloud-bases initiatives to enable transition to data engineer and practice, • Assures the integrity and accuracy of the corporate data, with particular attention to data security., • Responsible for ensuring high data quality for Data Services, Analytics and Master Data Management., • Helps coordinate technical solutions, takes responsibility for designs, development, testing and delivery of solutions., • Build automated, scalable, test-driven data pipelines., • Utilize software development practices such as version control via Git, CI/CD, and release management to enhance existing CI/CD pipelines in AWS., • Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks. QUALIFICATIONS • Bachelor's Degree, • At least 7 years of experience in application development (Internship experience does not apply), • At least 4 years of experience in big data technologies, • At least 4 years' experience with cloud computing using AWS, • 4+ years of experience in application development including Python, SQL, Scala, or Java, • 4+ years' experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, MySQL etc.), • 4+ year experience working on real-time data and streaming applications, • 4+ years of experience with NoSQL implementation (Mongo, Cassandra), • 4+ years of data warehousing experience (Redshift), • 6+ years of experience with UNIX/Linux including basic commands and shell scripting, • 7+ years of experience with Agile engineering practices, • 7+ years of experience with SQL optimization, • 4+ years of experience with PySpark, • 3+ year of experience with process orchestration including AirFlow, KubeFlow, AWS step functions, or Luigi Preferred Qualifications: • Proven experience implementing Generative AI, LLM data preparation pipelines, and Vector Databases (e.g., Pinecone, Milvus, pgvector)., • Strong experience building and maintaining Feature Stores for machine learning models., • Experience building highly scalable, secure, and production-ready APIs and Data-as-a-Service (DaaS) platforms., • AWS Certified Data Engineer or AWS Certified Machine Learning – Specialty certifications., • 3+ year of experience with Machine Learning, • Experience with building a Data-as-a-service platform, • Experience with building APIs About NBME NBME is a not-for-profit organization that specializes in the creation of assessments and learning tools for physicians and health professionals. Our mission is to advance assessment of these professionals to achieve optimal care for all, supporting the development of a highly effective, diverse and compassionate health care workforce. Founded in 1915, NBME develops and manages the United States Medical Licensing Examination® with the Federation of State Medical Boards. We offer a comprehensive portfolio of assessment products for every stage of the medical school journey and provide assessment services to various health profession organizations. We are dedicated to advancing innovative assessment approaches through research, collaboration and contributions to the medical education and assessment communities. In 2024, we expanded our assessment capabilities to include simulation through the acquisition of MedVR Education. Learn more on NBME's website. NBME's Community Collaborations and Contributions NBME believes that a key path to meeting our mission is collaborating with and supporting our communities. Our Community Collaborations and Contributions programs provide resources and recognition to medical educators and researchers advancing the field of assessment throughout their careers. In addition, we invest in fee assistance, scholarships and pathway programs to aid learners and help support increased representation in health care. Headquartered in Philadelphia, NBME also gives to local organizations that advance health equity and access and positively impact social determinants of health. Compensation we are offering for this position is at $127,337- $160,000/year. Please note that the offered rate for this position typically aligns with the minimum to midrange of this grade, but it can vary based on the successful candidate's qualifications and experience, department budget, and an internal equity review. The NBME offers competitive salaries, excellent benefits, and a rewarding work environment. Excellent Benefits include: Healthcare, Dental, Prescription, and Vision plans; 401(k) w/match, Tuition Reimbursement Plan, Commuter Benefit: Public Transit or Parking options. Remote Friendly Workplace. NBME is an Equal Opportunity Employer. We will consider all qualified applicants for employment without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Job Posted by ApplicantPro

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Our Sales Solutions Consulting team is in the midst of an exciting transformation - SSC 2.0 is the engine powering our vision. We are redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our Sales Solutions Consultants (SSCs) don't just demo features - they tell stories, co-create with customers and partners, and help shape strategy with technical credibility and business insight. The Role We are hiring a Partner Sales Solutions Consultant to help scale Appian's impact across the North America commercial partner ecosystem. This is a strategic individual contributor role for a leader who can influence far beyond any one opportunity. While this is not a people-management position, it is a highly visible role that partners closely with Appian's alliance, sales, and solutions leadership to shape how we build partner capability, develop repeatable joint solutions, and drive partner-led growth in the market. You will work across a portfolio of strategic consulting and alliance partners to strengthen technical readiness, inform partner strategy, and create repeatable motions that expand Appian's reach. Your success will come not only from supporting partner-led opportunities, but from helping define the approach, priorities, and plays that enable partners to independently position, sell, and deliver Appian solutions at scale. What You'll Do You will serve as a strategic technical advisor to Appian's partner ecosystem across Commercial North America. In this role, you will: Shape partner strategy and execution. Partner with Appian leadership, Alliance Managers, and field teams to influence how strategic partners take Appian to market. Help define where to invest, which solution plays to prioritize, and how to increase partner-led scale across the region. Build partner capability. Drive partners to confidently position and deliver Appian by developing reference architectures, solution patterns, and AI-enabled blueprints. Lead workshops, technical briefings, and acceleration sessions that improve partner readiness and independence. Help them build dedicated Appian practices. Drive pipeline with and through partners. Support joint go-to-market efforts through account mapping, industry plays, demand generation, and partner-led opportunity development. Help partners identify where Appian can create differentiated value and accelerate pipeline creation. Be the technical resource for partner created GTM solutions built on the Appian platform. Contribute the technical perspective and point of view into thought leadership assets. Provide technical leadership in partner-led opportunities. Guide partners through discovery, solution shaping, proof-of-value efforts, and architectural alignment. Support multiple partner-sourced and partner-led opportunities simultaneously, with a focus on repeatability and long-term leverage, not just point execution. Connect strategy across the ecosystem. Act as a bridge between partners and Appian's internal sales and product and engineering teams. Work closely with field-aligned SSCs and leadership to ensure partner motions are aligned to account priorities, customer needs, and broader regional strategy. Translate technology into business value. Help partners connect Appian's process automation and AI capabilities to measurable business outcomes. Support executive-level conversations that position Appian within broader transformation agendas and industry trends. Inform Appian's direction with market insight. Capture recurring architectural patterns, partner feedback, and ecosystem signals, and synthesize them into actionable input for Product, Engineering, and leadership. Bring a market-backed point of view on what partners need to grow faster and deliver more effectively. What We're Looking For You are a strong fit for this role if you combine partner-facing experience, technical credibility, and strategic judgment. You know how to operate as a senior individual contributor—someone who can influence leaders, shape direction, and drive execution without direct authority. We're looking for candidates with: 5+ years in pre-sales, sales engineering, solutions consulting, or client-facing strategic consulting Prior partner experience is required: go-to-market, solution development, relationship management, and demonstrated ability to build partner-led pipeline and capability A deep understanding of how services firms build offerings, take solutions to market, and engage customers Experience with enterprise technology platforms such as BPM, low-code, workflow, automation, and application development platforms The ability to influence senior stakeholders and contribute to go-to-market or partner strategy Strong executive communication, workshop facilitation, and partner enablement skills Comfort operating across multiple stakeholders, opportunities, and priorities simultaneously Experience in a major consulting firm or similar advisory environment is strongly preferred, but not required. Technical and Innovation Profile The ideal candidate is energized by emerging technology and can help partners translate new capabilities into practical offerings and market impact. You should bring: Familiarity with enterprise production environments, including application servers, web servers, and databases Experience exploring new solution patterns before they are fully standardized Strong interest in AI and machine learning, including the ability to explain how these capabilities create value for partners and customers The ability to shape scalable joint solutions that align with partner strategy, customer priorities, and Appian's broader go-to-market direction Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience 5+ years as a successful pre-sales engineer, or 6+ years in a client-facing professional services or consulting role supporting enterprise technology sales Ability to travel up to 70% within the assigned region How Success Is Measured Success in this role is measured by ecosystem impact and strategic leverage, including: Growth in partner-sourced and partner-influenced pipeline and ACV Improved scale, progression, and win rates in partner-led opportunities Increased partner technical maturity, independence, and repeatability Stronger alignment between partner motions and regional go-to-market priorities Broader adoption of solution patterns, joint plays, and offerings across the partner portfolio #LI-MB1 The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$125,000—$250,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job DescriptionAbout UsBurro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face. Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. We are seeking a Senior Robotics AI Engineer with strong applied machine learning and robotics experience to own and evolve the intelligence behind robot perception and navigation across complex indoor and outdoor sites. This is a hands-on, production focused role where you will design, deploy, optimise and maintain AI systems that directly impact how our robot perceive, reason and move. The ideal candidate will have a strong grasp of robotics and software engineering fundamentals, along with proven experience in deploying AI accelerated solutions in production environments.Responsibilities • Own the development and productionization of ML systems, including model design, training, fine tuning, optimization, deployment and continuous improvement., • Develop and adapt models across multimodal inputs (e.g., camera, LiDAR) and other AI domains as product needs evolve., • Integrate ML outputs into the robotics stack, ensuring reliable performance under real-time and hardware constraints., • Investigate customer reported issues and drive root-cause analysis to improve system robustness., • Build and improve infrastructure for rapid experimentation, model iteration, evaluation and deployment., • Improve and scale data collection, labeling, preprocessing and validation pipelines to ensure high-quality training datasets., • Implement robust simulation and field testing workflows, along with production monitoring to detect drift and performance degradation., • Collaborate cross-functionally with Product and Engineering to translate requirements into scalable AI solutions.Nice To Haves, • MLOps Experience (experiment tracking, dataset versioning), • Proficiency in ROS, • Familiarity with Docker, Linux and production infrastructure environmentsPerks, • Competitive salary and benefits package (medical/dental/vision), • Early-Stage Equity, • 401K Plan, • Unlimited PTO, • Paid parental leave RECRUITERS: We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: We're a robotics company building autonomous systems that operate in complex, dynamic environments. We're hiring a Manipulation Engineer to design, implement, and deploy manipulation algorithms for arms mounted on dynamic legged robots operating in the real world. You'll build task and motion planning, grasping, and control pipelines in real-time software, and own their performance all the way down to hardware. This role suits engineers who thrive on high-velocity problem solving, deep technical ownership, and hands-on testing and validation. How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them. What you'll do (all levels) • Architect end-to-end manipulation frameworks, from high-level task planning down to perception and low-level joint control, • Develop trajectory planning, obstacle avoidance, and real-time motion generation, • Implement grasping strategies using proprioception and vision, for rigid and deformable objects, • Use physics-based simulators to develop and validate manipulation policies with high-fidelity transfer to hardware, • Write clean, maintainable C++ and Python, and debug system performance across simulation, hardware experiments, and fleet data, • Collaborate with mechanical, perception, embedded, and systems teams to ensure end-to-end performance and robustness, • Contribute to long-term architectural decisions Senior Manipulation Engineer • Typically reached with 5+ years of relevant experience, or 3+ years following a PhD, • Owns a defined technical area of the manipulation stack and delivers independently end to end, • Mentors less-experienced engineers, • Track record of shipping manipulation software to real hardware Staff Manipulation Engineer • Typically reached with 8+ years of relevant experience, • Drives technical direction and architecture across the team's area, • Sets engineering standards and multiplies the output of others, • Demonstrated influence beyond their own deliverables, across teams or an entire manipulation stack Lead Manipulation Engineer • Typically reached with 10+ years of relevant experience, including experience guiding engineers, • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning, • Demonstrated ability to grow engineers and run a healthy, productive teamRequirements: Core qualifications (all levels) • A strong background in robotic manipulation, with hands-on experience on multi-DOF arms in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, Mechanical, Electrical, Aerospace Engineering, CS, or a related field is one path in. Equivalent industry experience is another., • Strong foundations in motion planning, control theory, optimization, and dynamical systems, • Deep understanding of coordinate transformations, forward/inverse kinematics, Jacobians, and robot dynamics, • Experience with motion planning tools (e.g., MoveIt, OMPL, or custom optimization-based planners), • Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac, Bullet/PyBullet), • Experience with ROS 2 and real-time middleware, • Proficiency in modern C++ (C++17/20) and Python, • Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD), • Master’s or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related field., • 3+ years of hands-on experience in robotic manipulation, specifically with multi-DOF (Degree of Freedom) arms., • Strong foundations in motion planning, control theory and optimization, along with experience in dynamical systems., • Deep understanding of coordinate transformations, forward/inverse kinematics, Jacobians, and robot dynamics., • Experience with motion planning software tools (e.g., MoveIt, OMPL, or custom optimization-based planners)., • Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac, Bullet/PyBullet)., • Experience with ROS 2 and real-time middleware., • Proficiency in modern C++ (C++17/20) and Python for development and tooling., • Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD). Preferred qualifications • Experience with legged or humanoid robots, • Experience applying Reinforcement Learning, Vision Language Models, or Vision-Language-Action models to robotic decision-making and task planning, • Familiarity with 3D perception, point cloud processing, and vision-based feedback in manipulation loops, • Background in whole-body control frameworks (operational space control, MPC, and similar), • Experience with force-feedback control or hand-eye calibration, • Publications or significant open-source contributions in robotics or machine learning, • Demonstrated ability to lead technical efforts and mentor engineers What we offer • Work with state-of-the-art robots in challenging real-world environments, • Hands-on hardware experience alongside strong software and simulation infrastructure, • A collaborative, technically rigorous culture with emphasis on learning and ownership, • Access to real robots, real data, and real impact, • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above Location Philadelphia, PA (no remote candidates considered at this time). Opportunities to work from home with prior approval. Travel No travel required. Compensation Competitive base, full benefits and highly motivating equity incentive package. Flexible time-off policy. Focus on output and ability to work with a stellar team of interdisciplinary functions. Background Check Clear standard background checks, pre-hire, post hire and anytime during employment as required. Residency Requirements Permanent Residency Required. Physical Requirements • Prolonged periods of standing, sitting at a desk and working on a computer., • Must be able to lift 10 pounds. Assistive equipment available

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment., • Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.

Machine Learning Engineer I (Contractor). Job Category: Data Engineering / Machine Learning. We are seeking a Machine Learning Engineer I to support the development of data-driven products and solutions.

What we're looking for: - Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job posting.

Core ResponsibilitiesProvides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams.Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards.Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives.Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions.Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.Participates in special projects and performs other duties as assigned.QualificationsUndergraduate degree or equivalent combination of training and experience. Graduate degree preferred.Minimum of eight years related work experience.Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.About VanguardAt Vanguard, we don't just have a mission—we're on a mission.To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.How We WorkVanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.SummaryLocation: Malvern, PA; Charlotte, NC; Dallas/Ft. Worth, TX; Philadelphia, PAType: Full time

Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:NoneGuidehouse is seeking a Databricks Solution Architect to join our AI and Data team to support client projects in the utility industry involving Databricks solution design, platform administration, data governance, and secure Databricks solution implementation. This role focuses on architecting and administering enterprise Databricks environments across workspaces, Unity Catalog, compute, security, automation, and operational standards. The architect will support data modernization initiatives for regulated utilities, including solutions that integrate customer, account, premise, property, meter, and energy-use data across utility and enterprise platforms. The role requires hands-on Databricks platform experience, strong cloud and data architecture fundamentals, and the ability to collaborate with client stakeholders, security teams, data engineers, and delivery teams to build scalable, governed, and production-ready solutions.What You Will Do:Partner with utility business, IT, data, and regulatory stakeholders to design governed data architectures that integrate customer, account, premise, service-address, meter, property, and energy-usage data across operational systems, enterprise data platforms, APIs, and external reporting platforms. Lead the design and implementation of Databricks solution architectures that support data engineering, analytics, AI/ML, and governed data product delivery.Administer Databricks workspaces, account-level settings, workspace configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects.Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards.Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs.Translate business, technical, security, and governance requirements into Databricks-native architecture patterns, implementation plans, technical architecture and design documentation, and platform standards.Partner with cloud, cybersecurity, identity management, networking, and DevOps teams to support secure platform integration across Azure, AWS, or GCP environments.Develop reusable architecture guidance, reference implementations, deployment patterns, and operational playbooks for Databricks platform teams and delivery teams.Troubleshoot platform issues related to permissions, compute performance, job execution, storage access, networking, workspace configuration, and production operations.Advise clients on platform governance, cost management, auditability, release management, environment strategy, separation of duties, regulatory traceability, and data-quality controls for enterprise Databricks adoption.Support delivery teams through technical leadership, architecture reviews, code and configuration reviews, documentation, and stakeholder communication.What You Will Need:Bachelor’s degree from an accredited college/university.7+ years of relevant experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery.3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations.Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology, and translate that context into practical platform and solution architectureStrong experience with SQL, Python, and Spark-based development for data engineering, automation, and platform operations.Strong experience with Unity Catalog, including access controls, catalogs, schemas, external locations, storage credentials, lineage, and governed data organization.Experience with cloud platforms such as Azure, AWS, or GCP, including identity, networking, storage, security, and deployment considerations for cloud-native data platforms.Experience developing architecture artifacts, technical designs, platform standards, implementation roadmaps, and operational documentation for technical and non-technical audiences.Ability to lead technical discussions with clients, evaluate tradeoffs, communicate architecture decisions, and work effectively in consulting or project-based delivery environments.Familiarity with data governance, DevOps, CI/CD, infrastructure automation, monitoring, cost management, and secure software delivery practices.Travel: will need to be onsite in NY at least one day every other weekWhat Would Be Nice To Have:Active Databricks certification, such as Databricks Certified Data Engineer, Machine Learning Engineer, GenAI Engineer, or related professional certification.Experience architecting and administering advanced AI/ML and application capabilities within Databricks (MLflow, AI Gateway, Genie One, Databricks Apps).Experience developing Databricks Apps or similar data-driven applications, including React-based front ends, API architecture, secure integration patterns with Delta Tables and Unity Catalog, and agentic workflow patterns that incorporate Databricks Agents or other AI-enabled services.Experience supporting electric or gas utilities, including working with customer information, account and premise, AMI, meter data management, billing, energy usage, building or property, or regulatory reporting data. Experience with Terraform, Databricks Asset Bundles, Git-based deployment patterns, automated testing, release management, or CI/CD pipelines for Databricks workloads.Experience integrating Databricks with enterprise identity providers, data catalogs, orchestration tools, observability platforms, BI tools, and cloud-native security services.Experience advising stakeholders on enterprise platform operating models, governance processes, cost controls, and production support practices.The annual salary range for this position is $162,000.00-$270,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:Medical, Rx, Dental & Vision InsurancePersonal and Family Sick Time & Company Paid HolidaysPosition may be eligible for a discretionary variable incentive bonusParental Leave and Adoption Assistance401(k) Retirement PlanBasic Life & Supplemental LifeHealth Savings Account, Dental/Vision & Dependent Care Flexible Spending AccountsShort-Term & Long-Term DisabilityStudent Loan PayDownTuition Reimbursement, Personal Development & Learning OpportunitiesSkills Development & CertificationsEmployee Referral ProgramCorporate Sponsored Events & Community OutreachEmergency Back-Up Childcare ProgramMobility StipendAbout GuidehouseGuidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.SummaryLocation: US - NY, New York; US - NJ, Trenton; US - PA, Philadelphia; US - VA, Arlington; US - MA, BostonType: Full time

Design and incorporate technical expertise in safety critical environments for projects involving behavioral safety, safety culture and leadership, serious injury and fatality risk reduction, incident learning, and machine safety. Bachelor's degree in Health & Safety, Mechanical or Chemical Engineer

Job Description Title: Service Engineer Apprentice Reports to: Service Manager, (Assigned Technical Center) Location: DMG MORI USA, Technical Center Hours: Monday through Friday, 8:00am to 5:00pm Classification: Non Exempt Travel: 75% Employment is conditioned on DMG MORI's ability to obtain and maintain any necessary export licensing. Essential Job Functions: Service Apprentice will participate in training and development where the incumbent learns to repair, install and move all DMG MORI machines. To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Responsibilities include up to and not limited to: • Complete all Classroom, factory training and online classes, and pass with 80% or higher scores., • Shadow Service Engineers on service calls, which require traveling with the Service Engineer to customer sites, • Learning through observation, while assisting Service Engineers on the call., • Progression in the apprentice program is competency based, participants are generally enrolled for 2 to 3 years before they receive certification and promotion to Service Engineer., • Other duties as assigned. Minimum Requirements: • High School diploma or GED., • Recent mechatronics program graduate or related field experience preferred., • Demonstrated mechanical, pneumatic, hydraulic, electrical, or electronic, aptitude., • Experience in CNC manufacturing, maintenance, a related field, a journeyman certificate and/or extensive experience (5+Years) in machine/manufacturing maintenance or related field - such as military maintenance training and experience preferred., • Analytical/problem solving abilities to define, troubleshoot, and repair a machine without assistance, • High interpersonal and social skills required to successfully complete assignments in stressful situations, • Ability to communicate professionally and create positive relationships with customers, • Verbal skills to effectively communicate varying levels of internal technical staff and customers, • Time management skills to plan work and travel schedules to minimize downtime/nonproductive time, • Adaptability to abrupt changes in work schedule and travel arrangements, • Proven written skills and discipline to complete required Technical documents and Reports in a timely fashion., • Ability to travel domestic and/or internationally to visit customer locations and/or trade shows, • Ability to follow complex written and verbal instructions correctly., • Other duties as assigned. Work Environment: Exposure to manufacturing/machining environments which may present possible hazards such as noise, electricity, chemicals, heavy equipment, and other automated and manual machinery. General office environment experienced at DMG MORI office. Physical Demands: Frequent: Travel, operating a vehicle, sitting, standing, walking, bending, squatting, stooping, and reaching. Pushing, pulling, and lifting objects. Repetitive foot, leg, hand, arm, shoulder, and torso movements. Periodic: Operating power equipment, sitting at desk, utilizing computers and phones. Occasional: Lifting or moving up to 50lbs. We are an Equal Opportunity Employer. We maintain a drug-free workplace and perform pre-employment substance abuse screening

Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. We are looking for a skilled Data/ML Engineer to join our BI team and take an active role in designing, building, and maintaining the end‑to‑end data pipeline, architecture, and design that powers our

Bachelor's degree inComputer Science, Computer Engineering, Electrical Engineering, or a related technical field and 12+ years of related experience, orMaster'sdegree with 10+ years, or PhD with 7+ years of related experience. Experience working across cross-functional or geographically distributed

Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. Write clean, efficient, and well-documented code, following best software engineering practices. Background in mentoring or leading small engineering teams.

Start earning quickly with a flexible schedule.Shopping with Instacart is more than grocery delivery.Shoppers help make our world go round.They make money, make moves, and make shopping lists come true.They make good time, make life easier, and make peoples day.Shoppers make it all happensign up now

Start earning quickly with a flexible schedule.Shopping with Instacart is more than grocery delivery.Shoppers help make our world go round.They make money, make moves, and make shopping lists come true.They make good time, make life easier, and make peoples day.Shoppers make it all happensign up now

Weekly Pay Flexible Schedule Shift Meal Discount and Family Dining Discount Best-in-Class Training & Continuous Learning Advancement Opportunities Referral Bonus Program Medical, Dental, Vision 401(k) Retirement Program Paid Time Off Well-Being Program Employee Assistance Program Perkspot Disc

Background in developing and deploying machine learning solutions in production settings. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.

Circle K Cashiers provide fast and friendly service to customers by operating the register, handling cash transactions, restocking shelves, preparing coffee and food items, and keeping the store clean and organized.Employees may also assist with fuel transactions and customer questions.This role is

Plus, we offer learning and development opportunities to help our associates grow their skills and achieve their goals.

Eleven Sales Associates and cashiers operate the register, assist customers, restock shelves and coolers, prepare coffee and food items, clean the store and restrooms, receive deliveries, and help maintain store operations.Overnight employees often handle stocking, cleaning, and store preparation fo

Your Impact at Lowe's As a Lowe's cashier, you'll ensure every customer exits Lowe's on a high note.Your work helps our stores positively serve our customers and communities by providing a quick, friendly checkout experience and helping customers get the best value for their money.How We Support Yo

Family Dollar is seeking Cashiers to assist customers, operate cash registers, and support daily store operations.Cashiers are responsible for greeting customers, scanning merchandise, processing cash and card payments, handling returns, assisting customers with product questions, stocking shelves w

Best Buy Cashiers and Customer Service Associates assist customers with purchases, returns, exchanges, and general product questions while providing a friendly in-store experience.Responsibilities include operating the register, handling cash and card transactions, assisting with online order pickup

Provides friendly and efficient customer service to guests according to established Marketplace policies and service standards.We believe that team member engagement is the basis for a great culture and superior guest service.During every interaction, we display three behaviors:.Smile, display energ

GENERAL PURPOSE OF JOB: To ensure that all cashiers and front end staff provide a fun, informative, efficient, and exciting racing environment for our customers.ESSENTIAL DUTIES AND RESPONSIBILITIES:.Ensure that all cashier personnel perform their assigned duties safely, effectively, enthusiasticall

At The GIANT Company we're committed to making our stores and facilities better every day for our team members, customers, and communities.

Deliver excellent customer service with a positive, professional attitude Accurately and efficiently ring on register Process layaways, returns, and exchanges Perform other tasks as assigned by manager from time-to-time Candidates must be able to wor Cashier, Associate, Part Time, Retail.

Operates equipment, including registers, gates, and credit card machines.

This isn't just your next job it's your opportunity to be part of an amazing team that delivers on our promise to meet and exceed our guest's experience the moment they walk through our doors! We offer opportunities for growth and career advancement and consider our employees to be our greatest ass

As a Cashier you are accountable for the customer service and sales experience including: maintaining checkout standards; assisting with general operations such as Omnichannel, recovery and inventory; and upholding performance standards relative to shrink/safety and meeting performance standards ass

Starting Hourly Rate / Salario por Hora Inicial: $16.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.We enable a consistent experience for our guests by ensuring product is in stock, available, accurately pric

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.

SNIPES Cashier Part Time Regular We live sneakers, streetwear, and neighborhood culture! All Day! Every Day!.With more than 750 stores in Europe and the USA, SNIPES is one of the leading sneaker and streetwear retailers worldwide.Since opening its first store in Essen, Germany in 1998, SNIPES has be

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.

The starting hourly rate is $17.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.Advocates of guest experience who welcome, thank, and exceed guest service expectations by focusing on guest interaction, loyalty

The Cashier role is critical to the overall impression that a customer receives during their visit to Coach by applying the Coach service skills at the Cashwrap.A Cashier's ability to offer friendly, efficient service is vital to ensuring a positive Cashier, Customer Experience, Grocery, Coach.

The starting hourly rate is $17.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.All about service & engagement.Advocates of guest experience who welcome, thank, and exceed guest service expectations by focusin

Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe service.They process Checkout and/or Return transactions, as well as monitor and maintain the Self-Checkout area.They proactively seek product/project knowledge to provide customers with info

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.