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• Total Wireless

  

  Store Assistant

  22 days ago

  $50000–$60000 yearly

  Part-time

  The Bronx, New York

  Store Associate – Total Wireless About the Role We are looking for a friendly, energetic, and reliable Store Associate to join our Total Wireless team. This position is ideal for someone who enjoys working with customers, learning about technology, and working in a sales-focused environment. Responsibilities • Greet customers and provide excellent customer service., • Assist customers with phones, plans, promotions, and accessories., • Recommend products and services based on customer needs., • Process sales, payments, and transactions accurately., • Assist with new activations, upgrades, and device setup., • Maintain an organized and welcoming store environment., • Help meet individual and store sales goals., • Stay updated on current promotions and Total Wireless offers. Qualifications • Strong communication and customer-service skills., • Friendly, positive, and motivated attitude., • Reliable and comfortable working in a fast-paced retail environment., • Retail or sales experience is preferred but not required., • We are willing to train the right candidate. What We Offer • Competitive Pay, • High Sales Incentives & Bonuses, • Paid Training, • Growth Opportunities, • Supportive team environment, • Opportunity to develop retail and sales skills Join our team and build your career in wireless retail with Total Wireless!

  Immediate start!

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• Milton Hershey School

  

  Youth Development Specialist - Relocation to Hershey, PA Required

  2 days ago

  New York

  Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

• Centene

  

  Senior Director, Gold Card Program

  3 days ago

  NEW YORK

  Position Purpose: Oversight of the Gold Card Program ensuring effective performance and communication of strategic priorities and outcomes with stakeholders. Responsibilities: Develop and execute the strategic vision for a National Gold Card Program. Identify opportunities to simplify provider interactions and improve healthcare delivery through innovative approaches to utilization management. Drive adoption and expansion strategies across multiple products and markets. Oversee outcomes related to provider experience, operational efficiency, compliance, and business value. Monitor industry trends, emerging regulations, and best practices related to utilization management and provider burden reduction to inform program operations Foster a culture of accountability, innovation, collaboration, and continuous improvement. Highly Preferred Skills: Experience developing and executing strategic initiatives with measurable business outcomes. Demonstrated success leading large-scale transformation efforts across matrixed organizations. Strong executive presence with exceptional communication and stakeholder management skills. Experience working with cross-functional teams spanning clinical, operational, regulatory, and technology functions. Education/Experience: Bachelor’s degree in related field or equivalent experience. 7+ years of product development/management or related experience. Experience with product planning, development, execution, and product financials. Experience across different market segments and product types.Pay Range: $134,600.00 - $249,000.00 per year At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday. Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

• MassMutual

  

  Quantitative Developer

  3 days ago

  NEW YORK

  Quantitative Developer Quantitative Credit Analytics Team Full-Time New York, NY The Opportunity As a Quantitative Developer, you will be responsible for building data pipelines and implementing statistical models that support the management of a $285 billion general investment account. You will collaborate closely with portfolio managers and strategists to translate research into production-ready tools that enhance portfolio analytics and decision-making. The role offers meaningful exposure to front-office investment activity across a diverse set of asset classes including fixed-income ETFs, structured credit, derivatives, and commercial real estate. The Team The immediate team comprises a blend of quantitative developers and strategists who bring a strong analytical mindset and a passion for solving both technical and business challenges. Embedded within the broader R&D organization of Investment Management, the team supports the oversight of the firm’s $285 billion General Investment Account. Known for its hands-on approach and intellectual curiosity, the team actively engages with new ideas and evolving market dynamics, driving innovation through close collaboration and a proactive problem-solving culture The Impact In this role, you will assist in the development and management of hedging, pricing, and asset allocation strategies for MassMutual Investment Management, which drive our investment returns and income that financially secure our clients and their families. Minimum Qualifications: • Bachelor’s degree in computer science, engineering, math, information technology or related field, • 6+ months of experience developing software through internships, academic projects, research, or professional experience. Ideal Qualifications: • Master’s degree in computer science, engineering, math, information technology or related field, • Experience in ETL pipelines, cloud, data architecture, and CI/CD, • Keen interest to work in investments outside of the public equity market, • Quant/ML modeling experience, • Excel and Python integration experience, • Software development experience using GitHub and Docker, • MLOps experience, • Experience with Anthropic Claude What You Can Expect at MassMutual • MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect:, • Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes, • A collaborative environment where perspectives are welcomed, • Access to learning, development, and internal networks that support continuous growth and skill-building over time, • Employee-led communities and forums that foster connection, learning, and inclusion across the organization, • A culture grounded in integrity, responsibility, and stewardship—supported by a company with a strong legacy and a future-focused mindset #LI-FT1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

• Annapurna Labs (U.S.) Inc.

  

  Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team

  2 months ago

  New York

  You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify Amazon Neuron adoption, which is critical to Amazon's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on Amazon's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Build and operate agentic evaluation frameworks, monitoring, and feedback loops that ensure the correctness, reliability, and continuous improvement of AI agents, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents About the team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our Amazon customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with products such as Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with Graviton and F1 EC2 instances. • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders, • 3+ years of relevant, broad engineering experience., • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Hands-on technical experience working in the Generative AI space, • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation, • Bachelor's or Master's degree in computer science or equivalent, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Domain-level knowledge of AWS services, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

• Annapurna Labs (U.S.) Inc.

  

  Software Development Engineer, ML Systems, Annapurna Labs

  2 months ago

  New York

  About the Team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify AWS Neuron adoption, which is critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Solve challenging technical problems, often ones not solved before, at every layer of the stack, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: • Build high-impact solutions to deliver to our large customer base., • Participate in design discussions, code review, and communicate with internal and external stakeholders., • Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers., • Work in a startup-like development environment, where you’re always working on the most important stuff., • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

• Northrop Grumman

  

  Systems Engineer - Level 6 Mission Modeling Simulation

  24 hours ago

  New York

  Significant experience integrating MS&A into Model‑Based Systems Engineering (MBSE) and digital engineering environments and system architecture models. Systems Engineer, Mission Modeling Simulation – Level 6,. You will work with various engineering disciplines (systems, GNC, seeker/sensor, s

• Amazon.com Services LLC

  

  Sr. Software Development Engineer, Advengers - Amazon Ads Brand & Video

  24 days ago

  New York

  This is your chance to help build a billion-dollar business, innovate on AI powered advertiser workflows , and positively impact millions of ad experiences — all while working with industry-leading technologies. You will own the design and delivery of AI-first campaign creation system powered by Performance+ and Brand+ tactics for omni-channel ad buying across video, audio, and display. You will get opportunity to work on a mix of established and greenfield projects — updating our architecture to scale 10X for the future while advancing our AI Performance + and Brand + Tactics to solve more interesting problems for customers across the globe. You will get opportunity to work on creatives backend services to support AI -first omni-channel campaigns across video, audio, and display You'll own features end-to-end — working directly with customers to scope requirements, design solutions, implement, test, and launch. Our systems serve advertisers at Amazon scale, and you'll be responsible for building and maintaining both the React/TypeScript frontend and Java backend services that power them. Key job responsibilities • Collaborate cross-functionally with product, UX, data science, and partner teams, • You demonstrate operational excellence in all of your work., • You are active in operational support for your team, and ensure that the root causes of operational issues are identified and resolved. You don’t settle for the status quo, and routinely identify and execute on opportunities to improve your team’s operations., • You are active in the code review process on your team, providing meaningful feedback to others, including those who are more senior. About the team We are focused on goal-oriented, AI powered workflows that help advertisers achieve their marketing objectives. We collect campaign goals, surface relevant data at key decision points, and provide reporting that validates decision-making. Our product suite guides traders in building campaigns with optimal targeting, creative formats, inventory, and bid models that are highly likely to hit their goals — reducing the need for manual intervention. • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 184,900.00 - 250,200.00 USD annually