Licensed Mental Health Professional (LPC/LCSW/LMFT/LMHC) 60K-75K/yr Position Requirement: Remote Full-Time and Part-time Positions Available FLSA Status: ExemptLocation: Billings, MTSalary: 60K - 75K+Work from Home!

Licensed Mental Health Professional (LCSW/LMFT/LPC/LMHC) 62K-80K/yr FLSA Status: ExemptSalary: 62K - 80K+Position Requirement: Remote Full-Time and Part-time Positions Available If you are looking for a new opportunity to grow with a clinician founded and clinician led organization, look no further!

Licensed Mental Health Professional (LCSW/LMFT/LPC/LMHC) 62K-80K/yr FLSA Status: ExemptSalary: 62K - 80K+Position Requirement: Remote Full-Time and Part-time Positions Available If you are looking for a new opportunity to grow with a clinician founded and clinician led organization, look no further!

Licensed Mental Health Professional (LPC/LCSW/LMFT/LMHC) 60K-75K/yr Position Requirement: Remote Full-Time and Part-time Positions Available FLSA Status: ExemptLocation: Houston, TXSalary: 60K - 75K+Work from Home!

Licensed Mental Health Professional (LCSW/LMFT/LPC) $60K-$85K/yr Position Requirement: Remote Full-Time and Part-time Positions Available FLSA Status: ExemptLocation: Canton, OHSalary: 60K - 85K+Work from Home!

Licensed Mental Health Professional (LCSW/LMFT/LPC) $60K-$85K/yr Position Requirement: Remote Full-Time and Part-time Positions Available FLSA Status: ExemptLocation: Dublin, OHSalary: 60K - 85K+Work from Home!

Licensed Mental Health Professional (LPC/LCSW/LMFT/LMHC) 60K-75K/yr Position Requirement: Remote Full-Time and Part-time Positions Available FLSA Status: ExemptLocation: Dallas, TXSalary: 60K - 75K+Work from Home!

Licensed Mental Health Counselor (LMHC) $70K-85K/yr Position Requirement: Remote Full-Time and Part-time Positions Available If you are looking for a new opportunity to grow with a clinician founded and clinician led organization, look no further!

Headquarters: Kitchener-Waterloo, ON; Remote - Ontario; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.Note: This role can also be performed remotely for candidates located in Ontario, Canada. About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.  This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow Optimize performance, reliability, and cost of the ML platform Evaluate and integrate emerging Databricks features Stay ahead of the curve by engaging with the latest developments in machine learning and AI Serve as senior ML technical advisor to Faire’s data science and production engineering teams  Represent Faire at ML conferences and meetups Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes 10-12 years of experience building and improving large-scale ML or data platforms. A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field. Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization Proven ability to design systems that support multiple data science teams and production workloads Strong background in distributed systems, ML infrastructure, and cloud architecture. Demonstrated technical leadership across teams and orgs; ability to influence without authority Experience integrating LLM workflows into enterprise platforms is a plus Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following: Category Technologies Languages Python, SQL, Kotlin ML Frameworks PyTorch, PySpark, MLFlow  Big Data & Processing Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL Cloud & Infrastructure AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform Generative AI Claude Sonnet 4.5, ChatGPT 5.2 Salary Range Canada: the pay range for this role is $248,000 to $341,000 per year.  This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position. This job posting is for an existing vacancy.Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.  Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) To apply: https://weworkremotely.com/remote-jobs/faire-senior-staff-machine-learning-platform-engineer

Headquarters: Remote-AMER About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role.We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.   If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!This is not an active job opening, but a way for us to connect with talent as we plan for future opportunities. If you’re not interested in interviewing for a role that isn’t currently open, we kindly ask that you wait until an active position aligns with your career goals. We’re always looking for exceptional talent to join us in our mission to make work accessible for everyone, everywhere. While this specific role isn’t currently open, we’re planning for strategic growth in 2025 and beyond. This posting is part of our Future Opening pipeline initiative, which helps us connect with outstanding professionals early on. By expressing your interest in this role, you’ll have the opportunity to start a conversation with us about your expertise and learn more about Remote’s vision and goals. Being part of our Evergreen Pipeline means staying top of mind for future roles that align with your skills and experience. It’s also a chance to explore how your career goals might fit into Remote’s exciting journey of global growth. We’ll keep your information on file for 1 year and be in touch if we see a match in that time.   The position This is an exciting time to join Remote and make a personal impact in the global employment space joining our Benefits team as Benefits Operations Specialist. This individual contributor role is part of the EOR (Employer of Record) Operations team. As a critical extension of our clients’ HR teams, EOR Ops team members navigate and advise on the intricate paths of global employment with unmatched speed, expertise, and precision in over 90+ countries. On this team, your work directly influences our customer journey and employee experience with their Benefits. As a dynamic and curious professional, you will have the opportunity to develop yourself as an experienced international Benefits Specialist. You will report to our Benefits Operations Manager. Key responsibilities Provide delightful support to Employees and Clients re: Benefits in multiple areas Benefits plans key attributes, including pricing, coverage and claims Benefits plans enrolment and unenrollment Benefits invoicing / billing Benefits Remote platform Benefits vendors’ platforms Process and solve tickets and escalations in Zendesk/e-mail Execute with care and precision data related tasks (preparation, entry, download etc.) Help define/detail and execute on Standard Operating Procedures Work closely and effectively within the Benefits team and with other Remote departments to analyse customers’ needs and deliver delightful solutions and experiences Be able to provide analytical, administrative and technical support in maintaining the benefits programs to ensure smooth administration of plans and policies. Maintain the operations process documents and be able to find automation possibilities to streamline process Constantly research and systematically distill written knowledge in Notion Be able to go from “scout to scale” and actually start things up and get things done Be an internal and external champion of Remote's values and Benefits team's goals Requirements Experience in HR Operations Employee Benefits ideally in the context of delivering US PEO services Obsessed to provide an excellent customer service experience Strong organizational and time management skills Strong verbal, written, and interpersonal skills to interact internally and externally at all levels Ability to work in a fast-paced environment and multi-task effectively across various tech tools You are a manager of one Writes and speaks fluent English It's not required to have experience working remotely, but considered a plus Embraces AI and automation to work more efficiently Benefits You can learn more about the benefits we're offering to all internal employees at Remote by visiting our public Benefits & Perks Handbook page. Practicals You'll report to: Benefits Manager Team: Operations - Benefits Location: AMER Application process Profile review Interview with recruiter Written challenge Interview with Manager, Benefits Operations Interview with Director, Benefits Bar Raiser interview   Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis.The annual salary range for this full-time position is$35,250—$89,250 USDBenefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave budget towards co-working spaces, learning and wellness (including gym memberships) mental health support services stock options home office budget & IT equipment How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.  To apply: https://weworkremotely.com/remote-jobs/remote-benefits-operations-specialist-amer