\nJoin a leading insurtech company that is unlocking the potential of digital insurance to help everyone protect what matters most! Are you up for the challenge?\nFounded in 2015, Sure is the fastest growing insurtech behind the world's most sophisticated digital insurance programs. Sure unlocks the power of digital insurance to enable brands and carriers to distribute insurance products quickly on its technology rails, reaching and engaging customers wherever they are on their journey. Our solutions provide a hassle free way to buy insurance anywhere, enabling our partners to make digital insurance accessible to all.\n\n\n🤝 Culture is everything. Join an incredible team of smart, passionate, collaborative and driven individuals. We empower our teams and promote autonomy and independence wherever we can.\n🌐 We are remote first. We work from home and we love it!\n🏆 Strive for greatness. We’ve been named the13th Fastest Growing Company by Deloitte Technology Fast 500, an Inc. 5000 Fastest Growing Company in North America, a two-time Forbes Fintech 50 honoree, and a CNBC World’s Top Insurtech Company, among other accolades and recognitions.\n💰Funding. In October 2021, we raised $100M in our Series C with a $550M valuation.\n\n\nWe’re growing!\nWe are looking for a strong Senior Engineer who has a strong understanding of payment platforms and the ability to optimize them for efficiency, security, and performance.\n\n\nYou’ll work closely with other engineers and our product team, with a direct impact in the products you’ll be building. As a small distributed team, we rely heavily on effective communication and autonomy in order to build, iterate, and ship rapidly.\n\n\nOur philosophy is that you would be teaching us as much as you'd learn from us. By learning and inspiring others, you'll help cultivate an environment that makes us better at what we do each day.\n\n\n\nWhat you'll be doing:\n* You'll contribute to all aspects of the software process: including architecture, specification reviews, implementation, automated testing, code reviews, debugging, and documentation.\n* Provide technical input and knowledge to the planning, design, and requirements process for new products and features.\n* Implement elegant, scalable web-facing solutions to solve complex business problems in the payments space.\n* You'll design, build, test, and maintain scalable APIs with the applications that rely on them.\n* Collaborate across different teams within the company to design solutions that fit multiple stakeholders needs\n* Resolve bug fixes and troubleshoot incidents from our partners and customers including identification, resolution, and remediation.\n* Help build automation tools, define processes, and add documentation to improve our developer experience and enable the business capabilities for Payments and Billing.\n\n\n\nWhat we're looking for:\n* 5+ years of software engineering experience\n* 2+ years experience with Python and Django\n* 2+ years experience on payment platforms and optimization.\n* 2+ years of working and integrating with payment processors or building gateways for payment processors to interface with card networks, banks, etc.\n* Great experience building apps in a secure and PCI-compliant environment.\n* Solid understanding of building streaming systems that produce large quantities of immutable, auditable data at scale that have complex aggregation\n* Great experience participating in the design and architecture of a project\n* Self-directed and self-motivated individuals comfortable working with diverse teams\n* Excellent communication skills, verbal and written\n* Experience with AWS or other cloud services\n\n\n\nBonus:\n* Familiarity with payment fraud prevention and risk management\n* Experience with large data tools such as Databricks and PySpark\n* Experience with payment forms beyond Credit Cards i.e. ACH, Check, and other payment forms\n* Familiarity of Generally Accepted Accounting Principles (GAAP) in software development including concepts like Journal Entries, Corrections, etc.\n\n\n\nWhat we do for you:\n* Unlimited PTO… no really, we want you to take it!\n* Mental Health Breaks - company provided meditation app and a weekly wellness hour\n* WFH stipend to help you work your best while being remote\n* Countless Medical, Dental and Vision plans … we are an insurtech company after all!\n* Equity and 401K\n* Generous parental leave\n\n\n\n\n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\n\nFor more information, visit https://www.sureapp.com/. Follow @SureHQ on Twitter, Facebook and Instagram.    \n\n\nEmployment at Sure is contingent upon a satisfactory verification of a general and criminal background check and education and employment verification. Upon an offer of employment, all prospective employees may be required to complete an employment application. Any background verifications will be obtained with written consent from the individual. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $97,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

\nHinge is the dating app designed to be deleted\n\n\nIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.\n\n\nCollaborate with a cross-disciplinary team to build features and work with other engineers to plan out projects. Design and build backend systems with an emphasis on quality and scalability. Own complex projects end-to-end and effectively communicate to stakeholders. Work in a cloud native tech stack: Kubernetes, AWS, Go web services, Postgres, Redis, Kafka. Be a thought partner for backend team strategy and technical direction. Create and maintain feedback cycles with your peers and manager. Operate and maintain production systems. Support and mentor junior developers. Assist with team hiring and learning. Use strong communication skills (written and verbal) to provide product and project ideas to contribute to trust and safety goal. Telecommuting may be permitted. When not telecommuting, must report to 809 Washington St, New York, NY 10014. Salary: $169,229 - $220,000 per year.\n \n \nMinimum Requirements: Bachelor's degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field, plus 5 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field plus 3 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. Must also have the following: 3 years of professional experience building backend infrastructures for consumer-facing features (Business to Consumer) built on iOS and Android; 3 years of professional experience handling large volumes (millions daily) of data within AWS using Python and Golang scripting languages and handling cloud-based container including Docker and Kubernetes; 3 years of professional experience handling data and event streaming using Apache Spark and handling data storage using relational databases including MySQL and NoSQL database including PostgreSQL and Redis; 3 years of professional experience performing and employing software engineering best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations); 2 years of professional experience performing backend software engineering (including leading and collaborating with Internal Tooling, Bad Actor Detection, Privacy & Compliance and Safety Product teams across web and apps) and developing backend infrastructures to drive systems that support the trust and safety of users with microservices written in Golang; 2 years of professional experience leading and creating project roadmaps of deployments for B2C web applications and mobile apps (including iOS and Android) and breaking down step to designate to peers; and 2 years of professional experience reviewing peer code and mentoring junior engineers.\n \nPlease send resume to: [email protected]. Please specify ad code [WLLL].\n\n\n\n\n$169,229 - $220,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York, New York.\n\n#LI-DNI\n\n\nAs a member of our team, you’ll enjoy:\n\n\n401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.\n\n\nProfessional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.\n\n\nParental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)\n\n\nFertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.\n\n\nDate Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.\n\n\nERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.\n\n\nAt Hinge, our core values are…\n\n\nAuthenticity: We share, never hide, our words, actions and intentions.\n\n\nCourage: We embrace lofty goals and tough challenges.\n\n\nEmpathy: We deeply consider the perspective of others.\n\n\nDiversity inspires innovation\n\n\nHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.\n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Cloud, NoSQL, Mobile, Senior, Junior, Golang, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York, New York

About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nThe Role\n\nIn this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. \n\nYou'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.\n\nThis is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.\n\nWhat you'll be doing\n\n• Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform\n• Effectively articulate best practices for instrumenting machine learning pipelines to our customers \n• Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems\n• Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded. \n• Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)\n• Develop and refine product documentation\n• Develop sample projects that can run seamlessly on the platform\n• Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback\n• Actively use Gradient features in a variety of scenarios to provide internal product guidance\n• Contribute ideas and feedback and help prioritize feature requests and bug fixes\n• Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc\n• Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient\n• Keep the organization apprised of new developments in applied & theoretical ML\n• Prototype new features for visualization and analysis in state-of-the-art deep learning research\n\nWhat we're looking for\n\n• 3+ years of experience in a professional working environment in an ML Engineer or adjacent role\n• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch\n• Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful\n• Excellent communication and presentation skills, both written and verbal\n• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment\n• Ability to break down complex problems and resolve them through customer consultation and execution.\n• Experience with cloud platforms (AWS, GCP, Azure)\n• Experience with Linux/Unix\n• Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment\n• Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)\n• Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions\n• Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications\n• Writing easy-to-follow code and effective documentation for your projects\n• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge\n• Strong writing and data visualization skills\n\nStrong Plus\n\n• Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter, \n• Experience with hyperparameter optimization solutions\n• Experience with data engineering, MLOps, and tools such as Docker and Kubernetes\n• Experience with data pipeline tools\n• Experience as an ML educator and/or building and executing customer training sessions, product demos,\n and/or workshops at a SaaS company\n• You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine • learning more accessible, transparent, and collaborative\n• Experience contributing to architecture and systems design\n• Teaching experience\n\nWhy join us? \n\n• Top-tier machine learning teams rely on our tools for their daily work\n• This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.\n• Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.\n• A best-in-class product in one of the fastest-growing and largest market segments\n\nBenefits\n\n• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n• 401(k) Plan with employer matching\n• Commuter benefits with a contribution from the company \n• Responsible Time Off Policy \n• Generous and flexible parental leave\n• Fitness & wellness benefit\n• Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Machine Learning, Senior, Marketing, Sales, Engineer, Front End, Teaching, Python and SaaS jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City