Production Scheduler Enhancement Engineer Jobs

About Us: Comfrt is one of the fastest-growing apparel brands in the world, built around creating products that help people feel their best. Our creative team produces hundreds of ads every month across Meta, TikTok, Google, and other paid channels, constantly testing new ideas, concepts, and creative formats. We're looking for someone who loves creating content that doesn't just look great—it performs. If you're the type of creative who enjoys analyzing why an ad worked, iterating quickly, and producing static assets, GIFs, and graphics that drive results, this is the role for you. About the Job: We're hiring a Graphic Designer to join our internal creative team. This role blends creative innovation with performance marketing. You'll work closely with Creative Performance Strategists, Paid Media Buyers, Designers, and Creative and Brand Marketing teams to develop high-converting ads across multiple platforms. You'll design static image ads, carousels, GIFs, gamified end cards, and other graphic assets for product launches and ongoing campaigns. This is a fast-paced environment where speed, curiosity, and creative problem solving matter just as much as technical skill. Responsibilities: Design static image ads, carousels, GIFs, thumbnails, and other creative assets. Create multiple creative variations from existing concepts to support rapid testing. Work closely with Creative Performance Strategists to translate performance insights into new creative. Maintain consistent branding while adapting creative for different audiences and placements. Collaborate with project managers to hit aggressive production timelines. Organize project files and maintain efficient creative workflows. Stay current on advertising trends, design styles, and social media creative best practices. Locate, source, and identify strong visuals in large asset libraries. Qualifications: 2+ years of professional experience editing video and designing digital creative in DTC ecommerce or performance

About Us: Comfrt is one of the fastest-growing apparel brands in the world, built around creating products that help people feel their best. Our creative team produces hundreds of ads every month across Meta, TikTok, Google, and other paid channels, constantly testing new ideas, concepts, and creative formats. We're looking for someone who loves creating content that doesn't just look great—it performs. If you're the type of creative who enjoys analyzing why an ad worked, iterating quickly, and producing both videos and static assets that drive results, this is the role for you. About the Job: We're hiring a Video Editor & Graphic Designer to join our internal creative team. This role blends creative innovation with performance marketing. You'll work closely with Creative Performance Strategists, Paid Media Buyers, Designers, and Creative and Marketing teams to develop high-converting ads across multiple platforms. One day you might be editing a UGC-style video for Meta, and the next you're designing static image ads, carousels, GIFs, gamified end cards, or motion graphics for a new product launch. This is a fast-paced environment where speed, curiosity, and creative problem solving matter just as much as technical skill. Responsibilities: Edit short-form performance marketing videos for Meta, TikTok, YouTube, and other paid social platforms. Design static image ads, carousels, GIFs, thumbnails, and other creative assets. Create multiple creative variations from existing concepts to support rapid testing. Work closely with Creative Performance Strategists to translate performance insights into new creative. Help develop new advertising concepts from idea through final execution. Maintain consistent branding while adapting creative for different audiences and placements. Collaborate with producers and project managers to hit aggressive production timelines. Organize project files and maintain efficient creative workflows. Stay current on advertising trends, editi

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the role We are looking for a collaborative Staff Technical Program Manager, Engineering Onboarding to build an AI-first onboarding experience that helps new engineers become confident, effective builders. You will create the technical learning, practical support, and community that enable engineers to understand Affirm’s systems, ship, and grow their impact. What you’ll do You will own the design and delivery of Engineering onboarding, creating a welcoming, technically credible experience for new engineers across North America and EMEA. You will lead hands-on learning experiences at our San Francisco office, complemented by virtual and regional programming that helps engineers build relationships, context, and practical fluency. You will partner with Engineering leaders and subject-matter experts across Developer Productivity, SRE, Security, Architecture, and Product teams to build and maintain useful technical onboarding content. You will translate Affirm’s AI-first engineering practices into practical learning experiences, including agent-assisted development, code review, testing, CI, deployment, observability, and production support. You will work with managers and buddies to create clear, role-relevant onboarding plans that help new engineers establish context, connect with their teams, and begin contributing effectively. You will coordinate with Recruiting, Learning, People Ops, IT, Facilities, Finance, and regional partners to ensure each cohort has the access, equipment, environment, and support needed for a strong start. You will gather feedback from new hires, managers, and facilitators, then use it to continuously improve the content, operations, and experience of Engineering onboarding. What we look for You have 2–4 years of experience as a technical leader

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring a Senior Software Engineer for Lithic’s Card Authorization team, which owns the real-time systems that make every card authorization decision correct, reliable, and fast. The team also owns related fraud tooling, including Lithic’s Rules Engine and 3D Secure integration. You’ll own high-impact projects end-to-end, solve distributed-systems problems at scale, and help build the tools customers use to control fraud and payment risk. What you'll do: Write reliable, secure, scalable code for Lithic’s real-time authorization and fraud-prevention systems with minimal tech debt Build customer-facing features, such as rules improvements, velocity controls, 3DS flows, fraud tooling, and transaction monitoring. Own projects from planning to launch. Improve the reliability of systems in team’s scope and participate in the team on-call rotation Lead efforts to improve systems and processes within the team What you'll bring: 4+ years building production backend systems. Full stack experience is a plus. Experie

About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team/Role: This is intended to be an entry level role for new grads/early career professionals. As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role. Responsibilities: Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value. Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals. Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion. Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem. Build processes and capture knowledge to scale and automate support, success, and outreach initiatives. Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

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! As the Senior Director of Solutions Architecture for the Americas at Cohere, you will own the US and Canada commercial Solutions Architecture function. You will lead the team that turns enterprise interest in agentic AI into deployed, production systems, and you will be accountable for the technical win in the most competitive AI market in the world. The United States and Canada are our largest commercial opportunity, and this seat owns how we win them. You will take an established, distributed team of strong technical people and raise what it can do — setting the bar and establishing the operating rhythm that lets a team of generalists run consistent, industry-fluent plays at enterprise scale. You will set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for EMEA and Asia Pacific, and contribute to company-wide decisions with your peers across Sales, Product and Engineering. In this role, you will: Lead and Scale the Organization: Build, coach and develop a high-performing Solutions Architecture organization across the US and Canada, and grow the senior technical talent

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

About the Team The ChatGPT organization at OpenAI supports our mission by building products that bring cutting-edge AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows. We work at the intersection of research and product, partnering closely with researchers, designers, product managers, and platform engineers to bring state-of-the-art image generation capabilities to life across ChatGPT and our mobile applications. Millions of users rely on these experiences every day to create, communicate, learn, and build. About the Role We are seeking an experienced Android Software Engineer to build and improve image generation experiences within the ChatGPT Android app. You will help define how users create, edit, and interact with visual content powered by the latest multimodal AI models. This is an opportunity to work on a highly visible product area, translating cutting-edge AI capabilities into intuitive, performant, and delightful mobile experiences used by millions around the world. ChatGPT's Android app already enables users to generate and transform images directly from their devices, and we're just getting started. In this role, you will: Build and ship new Android features that power image generation and image editing experiences. Create intuitive user experiences that make advanced AI capabilities feel seamless and accessible. Collaborate closely with Product, Design, Research, and Engineering teams to bring new multimodal capabilities to production. Drive improvements in app performance, reliability, architecture, testing, and developer tooling. Optimize media-heavy workfl

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We're looking for a Workato/Boomi Integration Engineer to build and support enterprise automation, with a focus on Legal systems integration (CLM, e-signature, matter management, compliance). You'll work across iPaaS, APIs, and AI/agentic tooling (Workato Genie, AI Skills, MCP servers) to connect Legal and other business systems. Responsibilities: Design and build Recipes and process automations across multiple systems, including AI-powered workflows using Workato Genie and MCP servers. Build and support AI Agents (Genies) for Legal and business-process automation, including prompt design and IDP for unstructured Legal content (contracts, filings). Design and manage secure API endpoints (REST/SOAP) and SFTP connections; build ETL/data-sync pipelines across formats (JSON, XML, CSV, EDI). Deploy and manage On-Premises Agents (OPA) for secure, behind-firewall connectivity. Maintain platform environments and security (RBAC, SSO, versioning); monitor jobs and troubleshoot failures. Build employee-facing tools (Workbot/ChatOps, Workflow/AgentX Apps, Slack integrations) with human-in-the-loop steps. Integrate business applications (CRM, HR, Finance, LMS, Legal, Budget & Forecast) via Boomi, with emphasis on Legal, Financial, and Supply Chain integrations. Write and optimize SQL/PL-SQL and custom scripts (Java/Groovy/JavaScript/Python); manage code via Git/GitHub; provide production support and on-call as needed. Partner with Legal, Compliance, and IT stakeholders to gather requirements and translate them into working integrations. Experience: 6–8 years of integration/automation experience, with hands-on Workato and Boomi. 4–6 years building and managing APIs (API Gateway, OAuth/SAML/JWT) and SFTP-based file transfers. 2+ years supporting Legal systems integrations (CLM, e-signature, matter management, c

ABOUT THE INSTRUCTIONAL DESIGNER ROLE: WIN is looking for experienced Instructional Designers to create engaging, practical, and impactful learning experiences for our franchise owners, external partners, team members, customers, and other stakeholders to support our growth in the U.S. and internationally. You will work closely with subject matter experts and cross-functional teams to transform complex business processes, product knowledge, and operational concepts into engaging and effective learning experiences. From e-learning modules and videos to instructor-led sessions, onboarding programs, job aids, assessments, and product training, you will help determine the right learning approach for different audiences and needs. We are looking for team members who are curious, creative, and passionate about how peoplelearn. You should be excited to experiment, leverage AI, and continuously improve learning content faster and more effectively. KEY RESPONSIBILITIES: Design and develop engaging learning experiences including e-learning modules, instructor-led training, videos, onboarding programs, product training, job aids, SOPs, assessments, quizzes, and other learning resources. Manage learning content from concept through development, review, launch, and continuous improvement. Create learning journeys, course outlines, storyboards, scripts, activities, simulations, and assessments aligned with specific learning objectives. Utilize innovation and AI tools to accelerate research, content development, storyboarding, visual creation, video and voice production, assessments, and rapid prototyping of learning experiences. Design learning experiences for U.S. audiences with strong attention to language, context, examples, and cultural relevance. Collaborate with Product, Operations, Marketing, Technology, and other teams to develop training for new products, processes, systems, and initiatives. Maintain and update existing training programs and learning resources as product

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, ret