Overview Senior ML Operations (mlops) Engineer - Remote Eligible Build scalable ML infrastructure to deploy models to thousands of sleep monitoring devices Location Remote Job Tags Operations About The Role Sr Mlops Engineer Join our team as a Sr MLOps Engineer to help us bring current and next generations of Pod ML models to life. You'll be a part of a small team designing and implementing solutions with high levels of autonomy to bring our members better sleep. Our work will go directly to our fleet of existing Pods with low friction and direct impact to the business. We are a fast moving and fast growing company, and we embrace individuals with a growth mindset and strong desire to help us achieve our mission: Improving people's lives through optimal sleep. How you'll contribute Pioneer cutting-edge technology: Introduce and implement cutting-edge ML technologies, integrating them into our products and processes to enable the future of health monitoring End-to-end ownership: Own design and operation of robust ML infrastructure – building scalable data, model, and deployment pipelines that ensure reliable delivery of models to production. Cross-functional collaboration: Partner with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales to Pods everywhere. Optimize for performance: Drive cost-effective, scalable, and high-performance ML systems by optimizing compute, storage, and deployment resources across training and inference Enhance tooling and platforms: Develop tooling, micro services, and frameworks to streamline data processing, experimentation, and deployment Effective remote communication: Thrive in a remote work environment, ensuring clear and direct communication. What you need to succeed Proven expertise: 5+ years of software engineering experience with a focus on ML infrastructure, distributed systems, or large-scale data processing in Python (e.g., PyTorch, TensorFlow, or similar). ML operations mastery: Hands-on experience with ML workflow orchestration (e.g., SageMaker, Vertex AI, MLflow, or Kubeflow) and CI/CD pipelines for model deployment. Scalable deployment experience: Demonstrated success shipping ML models to production at scale, handling telemetry, monitoring, and feedback loops across large device fleets or user populations. Cloud-native expertise: Strong experience with AWS (Lambda, ECS, DynamoDB, CloudWatch) or equivalent cloud platforms for serving and monitoring ML systems. Adaptive problem solver: A fast-paced, collaborative, and iterative approach to tackling complex problems. What sets you apart: Expertise in real-time ML workflows and streaming systems (e.g., Kinesis, Kafka, Flink). Demonstrated expertise in optimizing ML infrastructure for efficiency, latency, and cloud cost at scale. Understanding of secure ML operations, privacy practices, and compliance considerations, particularly for health-related or IoT data. Familiarity with health, wellness, or IoT domains, especially wearables or medical-grade devices. Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. #J-18808-Ljbffr
Warehouse Supervisor Lead inventory management and safety compliance initiatives at the distribution center Location: Mississauga, Ontario, Canada Job Tags: Operations About The Role HelloFresh Canada is seeking a Warehouse Supervisor to join our team at our Distribution Centre. Reporting to the Warehouse Manager, you will lead a team of warehouse associates and leads to ensure seamless day‑to‑day operations. Your focus will be to ensure that all direct and indirect material inventory movements, quantities, and quality are tracked accurately at all times. If you are a hands‑on operator who thrives on detail and organization, obsesses over delivering measurable results, and has a passion for food, this is the perfect opportunity for you! This role's working hours are Sunday to Thursday from 10:00 am to 6:00 pm. This is a 100% in‑person role, meaning you will be required to come to our Distribution Center located at 5491 Timberlea Blvd. Mississauga, L4W 2T6. What you will be doing: Supervise Warehouse Operations: Direct and oversee warehouse staff in receiving, shipping, and storing goods, ensuring that all SOPs and safety regulations are followed. Manage Inventory Accuracy: Ensure real‑time, accurate inventory records through cycle counts, stock transfers, and inventory reconciliations, addressing discrepancies with root cause analysis. Train Warehouse Staff: Provide training to warehouse personnel on inventory procedures, safety regulations, and systems to maintain high standards of efficiency and accuracy. Coordinate Inventory Movements: Organize the movement of materials within the warehouse and coordinate inventory transfers with other departments like Planning, Production, and Supply Chain. Enforce Safety Compliance: Ensure compliance with OH&S acts and warehouse safety regulations, and report hazards or dangers. Support Cross‑functional Collaboration: Liaise with other departments such as Finance, Operations, and Quality to solve problems, enhance inventory metrics, and streamline operations. Monitor Warehouse Performance: Measure and report the effectiveness of warehousing activities, including employee performance, to improve operational efficiency. Optimize Storage and Space Utilization: Organize and maintain inventory storage areas, adhering to storage design principles, and recommend improvements for efficient space utilization. Lead Process Improvements: Support and lead system implementations and warehouse projects to improve overall workflow and inventory accuracy. Investigate Discrepancies: Conduct thorough investigations into inventory variances and implement corrective actions to prevent recurrence. Schedule and Coordinate Material Handling: Plan and execute the movement of materials in and out of the warehouse, coordinating closely with other departments to meet operational needs. Document and Update Records: Maintain accurate data entry in inventory systems (e.g., Microsoft Office, Google Sheets), and ensure all transactions and physical counts are reconciled properly. At a minimum, you have: 3+ years inventory, warehousing, manufacturing and/or supply chain experience with a Bachelor's in Engineering, Business or a related field. Strong analytical, problem solving, and Excel skills. Energy, enthusiasm, and a can‑do attitude. Used to working in a high‑pressure, fast‑paced, and constantly changing environment. Drive and self‑motivation. We seek a potential leader who competes to win and has the burning desire to make a meaningful difference in our business and lives of our employees. An effective collaborator, who empowers and enables others to share ideas, raises awareness, gets buy‑in, and delivers fast and well‑rounded solutions to complex problems. Ability to handle multiple projects and assignments, able to prioritize and meet budgets, deadlines and achieve objectives. Ability to maintain sensitive and confidential information. Professional certifications and/or licenses with Lean Six Sigma preferred. Availability to work weekend schedules and cold facilities. Experience with Microsoft Office Suite (Word, Excel, PowerPoint), Google Suite (Calendar, Gmail, Docs, Sheets), and video conferencing (Hangouts Meet). What you'll get in return: Competitive salary and health benefits. 75% discount on HelloFresh or Chefs Plate weekly box subscription. High impact work to help feed thousands of families in Canada. Opportunity to learn and grow. Work with a hard‑working and supportive team. Working Conditions: It's no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process. If this sounds like you, please click the 'Apply Now' button. If this role doesn't quite match what you're looking for, but you'd like to know more about joining the HelloFresh team, please visit our Jobs page to view our other vacancies. We'd love to hear from you! #J-18808-Ljbffr
Canada Retail Account Manager Build strategic retail partnerships to increase household penetration across Canada Location: Toronto Compensation: $100,000 - 115,000 USD / year Job Tags: Operations About The Role Canada Retail Account Manager Why We Exist and What We Do: At Dr. Squatch, we're raising the bar on men's personal care with our line of natural, high-performance products. We're on a high-growth, fast-moving ride, continually introducing new product categories, launching into retailers nationwide, and growing internationally. We have been recognized and certified by Great Place to Work multiple times, and we achieved status as a certified B Corp in 2023. We are looking for passionate, talented people who want to join us in our mission to inspire and educate men to be happier and healthier! About the Role: Dr. Squatch is searching for a Retail Account Manager to assist with the management of our growing Canadian retail business. This role will manage the day-to-day customer needs of National and Regional Grocery, Natural and Whitespace Canadian retailers through managing and collaborating with a network of brokers to achieve growth targets. This role will work cross-functionally with our Operations, Product, and Marketing teams to drive activities to support these retail customers. This role will report to the Lead of Retail for Canada. This role will be based in or near Toronto, Ontario, Canada. The anticipated base compensation range for this role will be $100,000 - $115,000. The role is eligible for a bonus program. Compensation will be commensurate with the candidate's experience and local market rates. What You'll Do: Develop and maintain strong relationships with key retailer partners, wholesalers, and distributors to grow Dr. Squatch's presence as an omnichannel brand. Negotiate contracts, terms, shopper marketing, and promotional opportunities. Manage broker teams through strong leadership, clear communication, and prompt feedback. Collaborate with the Canada Retail Sales to develop tactical plans to encourage trial, market share growth, and household penetration through retail channels. Present business reviews internally to drive direction and strategic investment across Canada including category trends, competitive activity, and consumer insights. Fully own P&L for grocery, natural and whitespace accounts to achieve profitability and revenue targets and develop strategy for trade promotions & customer spending by account. Own the development and presentation of sales line reviews, internal/external business reviews, promotional strategy/cadence, and retail insights. Manage gap closing initiatives with retail and broker partners through ad hoc analysis and internal alignment for growth opportunities. Collaborate with cross-functional Dr. Squatch product, operations, and marketing teams to ensure all new item launches and initiatives are flawlessly executed in your accounts. Own forecasting/actualization of spend, sell-in, and sell-out for all managed retailers. About You: 5-8 years of Sales, Business Development, or Account Management background in CPG - preference for prior category experience in personal care or wellness selling Natural Products into traditional Retail Proven selling and negotiation skills Strong relationships or prior experience working with tier 1 Grocery, Drug, Mass, and Natural retailers in Canada or the UK Prior experience with Walmart Canada is highly preferred Proven success in achieving aggressive sales goals Prior experience managing multiple brokers or direct reports Deep understanding of the Canadian retail landscape and what best-in-class account management looks like Ability to travel when necessary Organizational skills and ability to prioritize and manage multiple initiatives at the same time Excellent communication and selling skills Experience working in the consumer products industry in mass and/or grocery channels in Canada is highly preferred Someone who gets things done without perfect resources is innovative and works with a sense of urgency Someone who has high standards takes ownership and is invested in the outcome Someone who proactively helps others stays positive and has a good sense of humor A solid understanding of syndicated retail data and Customer POS data with an ability to draw conclusions and create brand stories to sell in to customers Ability to bring insight to action – use data to understand issue and opportunity and come up with creative ways to accelerate growth Our core values come naturally and make us a better, more whole, and unique team. We are bold and innovative - we are creative, rethink how things are done, and find a way. We play to win - we have high standards, we encourage ownership of work, we are scrappy, we act with urgency, and we invest in the outcome of our work. We are Team Squatch - we are humble, help others outside our own wheelhouse, stay positive, have fun, and have approachable and transparent leadership. We offer a competitive salary in a growth-focused & collaborative team environment. Benefits include medical, dental, vision, 401k with Squatch match, and PTO. We also have great perks like healthy snacks, frequent company events, and of course, free products! For applicants with disabilities, reasonable accommodation will be made so that qualified applicants with disabilities may participate in the application process. If you need any accommodations during the hiring process, please let us know when you submit your application and we'll do our very best to adjust as needed. #J-18808-Ljbffr
Senior Data Scientist / Machine Learning Engineer - Listing Quality Develop high-performance ML models to improve product listing quality and retailer experience Location: Toronto Compensation: $168,000 - 231,000 USD / year Job Tags: Operations About The Role Senior Data Scientist / Machine Learning Engineer Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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 that small businesses everywhere can compete with these big box and e‑commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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. About This Role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi‑modal LLMs, and human‑in‑the‑loop training to create high‑performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real‑world impact. You will independently design and implement solutions and work with the cross‑functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end‑to‑end. What You'll Do Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire's product listings. Use deep learning, LLM fine tuning, and human‑in‑the‑loop training to automatically detect and address issues with high accuracy. Act as a lead on the cross‑functional Listing Quality pod, thinking end‑to‑end about brand and retailer experiences. Qualifications 3+ years of industry experience using machine learning to solve real‑world problems Experience with relevant business problems (e.g. e‑commerce) Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human‑in‑the‑loop machine learning) Strong programming skills An excitement and willingness to learn new tools and techniques The ability to design and implement ML solutions without supervision Strong communication skills and the ability to work in a highly cross‑functional team Great To Haves: Master's or PhD in Computer Science, Statistics, or related STEM fields is highly recommended Previous experience in listing quality for e‑commerce Previous experience in supervised fine tuning of multi‑modal LLMs Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact Salary Range Canada: the pay range for this role is $168,000 to $231,000 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. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on 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. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why You'll Love Working At Faire We Are Entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We Are Using Technology And Data To Level The Playing Field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We Build Products Our Customers Love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We Are Curious And Resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. #J-18808-Ljbffr
A technology-driven marketplace is seeking a Senior Data Scientist / Machine Learning Engineer to leverage machine learning for improving product listings. In this role, you will design high-performance ML solutions, work collaboratively with cross-functional teams, and contribute to a mission-driven culture. Ideal candidates have strong programming background, 3+ years of experience, and enthusiasm for cutting-edge technology. This position offers a competitive salary and a flexible hybrid work model.
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A leading food distribution company in Mississauga is seeking a Warehouse Supervisor to oversee warehouse operations. In this role, you will manage inventory accuracy, supervise staff and ensure compliance with safety regulations. Ideal candidates will have over three years of experience in warehousing and a strong understanding of inventory management. The position requires a hands-on approach and excellent problem-solving skills. Competitive salary and benefits are offered.
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Inventory Planner Translate demand forecasts into actionable SKU-level inventory plans across all markets Location: Ottawa, Ontario, Canada Job Tags: Operations About The Role Inventory Planner Bushbalm is The Bikini Line Skincare Experts, on a mission to be the go-to solution for ingrown hairs, dark spots, and razor bumps—everywhere on the body. We create effective, results-driven products that help people feel confident in their skin, from the bikini line to underarms and beyond. Born in Ottawa, we've grown from a bold idea to one of the city's most exciting startups—securing a deal on Dragons' Den and ranking among Ottawa's fastest-growing companies. With a powerhouse eCommerce presence, a rapidly expanding retail footprint, and a strong network of waxing professionals, we're disrupting the skincare industry in a big way. At Bushbalm, you'll join a fast-moving, passionate team where innovation, collaboration, and career growth go hand in hand. If you're ready to make an impact, we'd love to meet you! Role Overview The Inventory Planner owns SKU-level inventory health across Bushbalm's entire supply chain. This role translates the demand plan into actionable supply requirements, ensuring we maintain optimal finished goods and component inventory levels. The Inventory Planner identifies risks early, builds the inventory strategy, and determines what needs to be purchased and when, handing clear instructions to the procurement coordinators for execution. This is an analytical, planning-focused role that sits between Forecasting, Procurement, and Operations. Key Responsibilities Inventory Planning & Forecast Translation Convert the demand forecast into SKU-level supply requirements across all markets and channels. Build and maintain a rolling 6-12 month inventory plan for finished goods and components. Set stocking targets, safety stock, reorder points, and recommended order quantities. Model days of supply, sell-through velocity, seasonality, and lead times. Inventory Health & Risk Management Monitor inventory levels, risks, and projected stockouts daily. Identify overstock, understock, and future capacity issues early and elevate with clarity. Maintain visibility into on-hand, in-transit, and on-order inventory across all suppliers, co-man channels, and 3PLs. Own 'inventory availability' reporting for Ops, Finance, Marketing, and Sales. Replenishment Logic & Order Recommendations Determine replenishment quantities and timing for all SKUs based on forecast, actuals, and constraints. Build clear purchasing recommendations for Procurement to execute (quantities, timing, component needs, critical path). Account for BOMs, MOQ constraints, production cadence, and co-man capacity. Cross-Functional Coordination Partner with Procurement to ensure purchasing aligns with the inventory plan. Work with Finance to validate cash flow alignment with inventory strategy. Work with Marketing, Growth and Sales teams to factor in promotions, launches, and retail pipeline. Support Operations with insights on inbound flow and warehouse capacity requirements. Data, Tools & Reporting Maintain inventory planning models and dashboards. Improve forecast accuracy by tracking variances and identifying drivers of error. Maintain accurate planning inputs (lead times, MOQs, BOM details, safety stock levels). Provide weekly and monthly inventory performance reporting. Key Skills & Experience 4–7+ years in inventory planning, supply planning, or demand planning (ideally CPG or manufacturing). Strong analytical and modelling skills (Excel/Sheets is essential). Experience with ERP systems; CIN7 is a plus. Ability to turn forecast + constraints into clear replenishment actions. Strong communication skills for presenting risk, options, and recommendations. Comfortable working in a high-growth, fast-changing environment with imperfect data. Perks & Benefits: Competitive salary and comprehensive benefits package. Flexible work environment (remote/hybrid options where applicable). Health and wellness benefits, including a lifestyle spending account. Professional development opportunities to support career growth. Free access to our award-winning products. Inclusive and dynamic company culture with team-building events. Join us in redefining body care and making an impact in the beauty industry! #J-18808-Ljbffr
A skincare company in Ottawa seeks an Inventory Planner to manage SKU-level inventory and ensure optimal supply chain health. The role involves translating demand forecasts into actionable supply requirements, monitoring inventory levels, and coordinating with cross-functional teams. Candidates should have 4–7 years of experience in inventory planning, strong analytical skills, and proficiency in Excel. Opportunities for career growth and a hybrid work environment are provided.
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