Production Supervisor Jobs

About Us: Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come. About the Role: We’re hiring a Full-Stack Growth Engineer to build and maintain the product and systems that help more of the right people discover Future, convert into members, and reach their first moments of value. You’ll work across web and backend surfaces that power acquisition, signup and access, onboarding and activation, and early engagement. You’ll ship experiments end to end, instrument funnels carefully, and partner closely with product, design, data, and marketing on a small, senior team. This is a hands-on role. You’ll move between product judgment and system design, write production code, run trustworthy experiments, and turn learnings into durable product improvements — not one-off hacks. What You’ll Own: Acquisition and Conversion: Build and improve the web and product surfaces that introduce Future to prospective members and turn interest into signup. These include landing experiences, checkout and plan selection flows, and the instrumentation that shows where people drop off. Access and Onboarding: Simplify signup, login, account creation, and first-session activation. Remove friction, clarify value on Day 1, and help new members connect with coaching and get started quickly. Experimentation Systems: Design, ship, and analyze A/B and multivariate tests across the funnel. Partner with data to define metrics, guardrails, and experiment hygiene so we learn fast without polluting the product. Full-Stack Delivery : Implement features across frontend and backend — APIs, services, web UI, and the glue between

About Getty Images Getty Images is a world-leading visual content creator and marketplace, serving customers across media, creative and corporate industries worldwide. Our Editorial team covers some of the world's most significant news, sport and entertainment events, delivering compelling visual storytelling to audiences around the globe. We are committed to developing the next generation of visual storytellers and creating opportunities for emerging photographers to gain practical experience in a professional editorial environment. About the Opportunity Getty Images is seeking an emerging photographer to join our Editorial Sports team through a six-month paid Sports Photography Traineeship based in Sydney. This fixed-term, part-time opportunity is designed to support the development of early-career sports photographers through practical experience, dedicated mentorship and exposure to professional editorial photography workflows. The successful candidate will work alongside Getty Images photographers, editors, and editorial staff, gaining experience across live sports coverage, image editing, captioning, metadata, transmission and editorial production processes. The programme includes mentorship from Getty Images staff sports photographers and Nikon Ambassador, Hannah Peters, as well as guidance from Getty Images sports photographers, editors and editorial staff. Participants will have opportunities to contribute to sporting event coverage, subject to editorial requirements, operational needs and accreditation availability. Your Next Challenge: As part of the traineeship, you may have opportunities to: Observe and assist with live sports photography coverage. Attend sporting events and assignments that may take place during evenings, weekends and public holidays. Learn and apply Getty Images editorial photography standards and workflows. Edit, caption and prepare photographs for transmission and distrib

The Challenge As the Senior Manager of the Cyber Threat Research & Intelligence team, you will guide Adobe's efforts to predict, identify, and respond to the changing threat environment. Your position is key to delivering high-quality intelligence at tactical, operational, and strategic levels. This intelligence helps Adobe's security teams and executive leaders make informed, proactive decisions. You will develop and enhance a leading threat research and intelligence program that transforms raw threat data into actionable insights. This program supports defenses based on adversary behavior and keeps Adobe ahead of advanced threat actors. This is an opportunity to lead with purpose, build Adobe's intelligence strategy, and make a measurable impact on how the organization understands and responds to important threats. What You Will Do Develop and take responsibility for the strategic vision of Adobe's Cyber Threat Research & Intelligence program, covering tactical, operational, and strategic intelligence pillars. Lead a senior team of threat intelligence researchers, balancing deep technical research with timely intelligence production and collaborator engagement. Coordinate the full intelligence lifecycle — from collection and processing to analysis, production, and dissemination — ensuring intelligence outputs are relevant, accurate, timely, and actionable. Build and manage Adobe's threat actor tracking program, maintaining profiles on advanced persistent threat (APT) groups, cyber criminal organizations, and hacktivists relevant to Adobe's industry and attack surface. Produce and deliver intelligence products at multiple levels: tactical reports (IOCs, TTPs, YARA/Sigma rules), operational assessments (campaign analysis, actor attribution), and strategic briefings (threat landscape, industry trends, geopolitical risk). Partner closely wit

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 3

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 5

The Opportunity Adobe Experience Platform (AEP) enables businesses to deliver the right experience at the right time to their customers. The Segmentation Service is one of the key AEP services, providing the ability to define customer segments and generate target audiences based on real-time customer profiles. Customer segment definitions are sophisticated queries over profile and event data capturing specific attributes or behaviors shared by a subset of users. With the need to perform trillions of audience segment evaluations per day, scalability and efficiency are paramount in segment evaluation. This is a great opportunity for engineers to solve extremely interesting challenges of scale and build core services that are used by all Adobe Digital Experience solutions. As part of building these services, you will work with an exceptionally talented and collaborative team, tackle complex query evaluation challenges, design & implement innovative algorithms and build highly performant services. What you'll Do · Collaborate with a team of engineers & product managers in building a high-performance segmentation engine. Own responsibility for design and implementation of key components · Develop query compilation algorithms that transform and rewrite segment definition queries · Develop query optimization and evaluation algorithms including multi-query optimization, incremental evaluation and streaming evaluation · Work on cross functional themes involving advanced data pipelines using Apache Spark · Build tools to monitor query performance and identify & debug potential semantic errors · Deploy production services and iteratively improve them based on customer feedback · Follow Agile methodologies using industry leading CI/CD pipelines · Participate in architecture, design & code reviews What you need to succeed · B.S. i

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence. About the Role Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows. In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving. Key Responsibilities: Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnost

On-site | Vancouver Office – 564 Beatty St About EviSmart EviSmart builds the automation layer that dental laboratories run on. A dental lab is a manufacturing operation. A case arrives from a dentist — a 3D scan of a patient's mouth and a prescription — and leaves as a crown, bridge, denture or night guard. In between sit a dozen manual steps: monitoring scanner portals, retyping cases into lab software, checking scan quality, interpreting handwritten prescriptions, designing the restoration. We automate that pipeline. Our software connects to 15 intraoral scanner portals and more than five lab management systems, pulls cases the moment they arrive, reads the prescription, maps it into the lab's own product catalogue, checks the scan, and routes it to design. We serve roughly 6,000 customers across 28 countries from offices in Vancouver, Manila, Seoul and Shenzhen. The automation works. It does not yet work well enough, consistently enough, to run unattended — and closing that gap is the highest-leverage technical problem in the company. What you'll do Establish measurement. Build per-model, per-customer, per-category accuracy reporting that Product and Sales can act on. Nothing else you do matters until this exists. Build the correction flywheel. Capture the quality-control corrections our customers already make, turn them into structured, versioned training data, and close the loop with human review where confidence is low. Standardize the squads. One deployment path, one evaluation harness, one model and dataset registry across restoration design, scan quality, prescription extraction and agents. Solve multi-tenant model behaviour. Thousands of customer-specific product codes, prescription conventions and unwritten preferences sitting over a shared model base — without building a bespoke model per customer. Take inference to production scale. Move workloads from on-premise to cloud with understood cost per inference and real concurrency headroom. •

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Agent Gateway Team The Agent Gateway team owns the identity-aware infrastructure that connects enterprise AI agents to the tools, data, and services their organizations authorize. Every call from Claude, Agentforce, Codex, and internal/homegrown agents to a resource flows through us. We enforce authorization, isolate credentials, mint the right token per target, and produce the audit trails that security teams rely on. We are early in a rapidly evolving space. The standards for agent identity (MCP, OAuth token exchange, DCR) are being built under our feet. Our roadmap includes hardening the data plane for on-premises customer deployments, extending policy semantics beyond tool-level allowlists, adding native support for Agent-to-Agent brokered delegation, and scaling to tenants with thousands of virtual MCP servers. The Senior Software Engineer Opportunity Okta is looking for a Senior Software Engineer to help build the Agent Gateway. You will own features and components across the data and control planes, turning technical designs and product requirements into reliable production systems. Working alongside staff engineers, you will implement token exchange, request routing, credential resolution, and policy evaluation as agent identity specifications evolve. This is a hands-on software development role at the intersection of product, security, and infrastructure. You will ship services that handle agentic traffic reliably and performantly at scale. Wha

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity Tool Integration: Pulling in new tools to enhance North's security capabilities Dev

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions befo

MyPrize is the fastest growing free-to-play social gaming and social markets platform in the world, redefining how people play, watch, and connect with one another and with gaming and markets online. Powered by MyPrize's proprietary AI personalization engine, we combine the best of online gaming, live streaming, and social markets, with institutional-grade security. We're seeking a Relationship Team Manager, Creator & VIP to join our growing team full time. You'll lead the Team Leads who run both sides of the MyPrize relationship engine: the creators and streamers who bring audiences to the platform, and the VIP players those audiences become. The Role: This is a manager-of-managers role. Your Creator Management and VIP Management Team Leads own their own groups of Creator Managers and VIP Account Managers, each responsible for the retention, engagement, and monetization of a dedicated base. You are accountable for their combined production and revenue, for the quality of the leaders running them, and for the standards and processes both sides operate to. You'll work directly with the founders and leadership team, cross-functionally across Marketing, Product, Operations, and Finance, and will personally own MyPrize's most strategic creator, game provider, and brand relationships. What you will do at MyPrize: Lead the Team Leads: Set goals, cadence, and standards for your Creator and VIP Team Leads. Coach them on how to coach, run structured one-to-ones and performance reviews, and hold the bar on hiring, onboarding, and ramp across both groups. Own the Revenue Number: Carry the combined creator and VIP revenue goal. Review dashboards and reports to know where each team, lead, and individual stands, and step in with a plan before a gap becomes a quarter. Deploy Resources Against Data: Read the data to direct your teams' time, incenti

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company. What You'll Do: Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models. Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently. Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance. Mentor junior engineers on building production-grade software, raising the team's engineering standards over time. Required Skills and Experience: 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments. Built and operated low-latency data or ML infrastructure (stream

About VSCO For years, we've helped photographers create their work. Now we're building what comes next. VSCO exists for photographers. Not as a side feature, not as an afterthought, but as the whole point. We build the connected system photographers rely on, and we've spent over a decade earning the trust of a global creative community that takes the craft seriously. Photography is at an inflection point. AI is reshaping what's possible for creative work, and that's where our mission shines. VSCO is building the full photographer's workflow: from creating and editing your work, to delivering it to clients, to running your business. All of it built thoughtfully, with photographers leading the way. We believe the future of photography tools creates more space for creativity, handling the busy work so photographers can focus on the craft. If you care about craft, community, and what technology can unlock for creative people, this is the work. We're a mission-driven and focused company where your work ships quickly, is meaningful, and reaches tens of millions of people worldwide. You'll have a real say in what we build and how we build it. We hire people who don't wait to be asked, naturally connect the dots, care about the quality of what they ship, and believe the best outcomes come from building together. About The Role VSCO is hiring a Senior Software Engineer to be a primary contributor on Reflex, our production GPU image-processing engine, and significantly guide the path it takes into Studio Pro on iOS and macOS. You will deepen a stack that is already in customers’ hands: new capabilities (RAW, large-image export, desktop), production quality (color correctness, memory, performance), and the contracts that let product engineers ship on top of the engine without becoming graphics programmers. In This Role, You Will Be a primary contributor on the Reflex imaging engine: DAG execution, WGSL operators, GPU resource/memory budgets, and color management (linear workin

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals (agent session data, pull request and CI activity, and AI spend) into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience. Your work will be the trusted source of truth that engineers and executives use to decide where AI investment is working and where to redirect it. We're hiring a Senior Analytics Engineer to own parts of that pipeline end to end. This is a broad, high-visibility role with a lot of white space: you will instrument new telemetry at the source and build production pipelines that turn it into governed data, then turn that governed data into executive-facing reporting and the analysis that surfaces concrete opportunities to improve AI ROI and developer experience. You'll also help pioneer one of the most consequential open problems in the industry right now: measuring the productivity impact of an increasingly AI- and agent-augmented engineering workforce, where there is no textbook answer and real room to set the standard. You'll define new metrics and craft the visual narrative — the charts, dashboards, and presentation materials — that make them land with a