Title: Staff Engineer - AI Location: New York, NY Full time Job requisition id JR101050 Job Description: About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot. Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale. Join us as we work to make great food more accessible. About The Opportunity As a Staff Engineer in our AI and Robotics org, you will build a food agent, a personalized meal planning and nutrition product that blends LLM-driven recommendations, health-aligned goal setting, and agentic ordering. You'll shape technical strategy, make key architectural calls, and personally drive high-complexity work from design through production. This role is for someone who has built AI agents and LLM-powered products before, ideally as a founder, founding engineer, or early-stage technical leader, and who is deeply curious about how these systems actually behave at scale. This is not a planning role: you'll write code, review code, and ship code every day. The Impact You Will Make - Define and drive the technical roadmap for our AI food agent, spanning recommendation, personalization, agentic ordering, and health-aligned meal planning - Architect and scale distributed infrastructure for real-time retrieval, vector search, multi-modal inference, and LLM orchestration. - Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines, model serving, prompt orchestration, RAG, fallback logic, and evaluation frameworks - Establish evaluation and experimentation infrastructure: evals, benchmarks, scoring criteria, A/B testing pipelines, and feedback loops that make the AI measurably better over time What You Bring to the Table - 8+ years of professional software engineering experience, with at least 3 years building and shipping AI or ML-driven systems in production - Deep distributed systems expertise. You've architected infrastructure that handles high-throughput, low-latency workloads at scale - Hands-on experience building AI agents, LLM-powered features, or agentic workflows in production. You've worked with retrieval pipelines, prompt orchestration, embedding-based systems, and model evaluation - Prior experience as a founder, founding engineer, or early-stage technical leader at a startup. You know what it takes to build from zero with limited resources - Proficiency with backend development frameworks and cloud infrastructure. Familiarity with Python, TypeScript, and modern ML tooling - Strong system design skills with a track record of shipping scalable, production-grade software under real constraints - A degree in Computer Science, Data Science, or a related technical field (or equivalent experience) Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. #LI-Hybrid New York: $225,000 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

• Diseñar y desarrollar copilotos de IA para Dev/QA y soluciones RAG sobre repositorios . • Construir agentes de automatización para procesos como post‑sales, claims, deliveries y suppliers. • Implementar controles de seguridad y gobernanza de IA (permisos, costos, evaluación y trazabilidad). • Crear bases de conocimiento, RAG y estrategias de despliegue . • Medir impacto en negocio a través de KPIs como TTR, SLA y reducción de retrabajo.

Design and develop AI-driven applications to enhance engineering workflows, optimize data pipelines, and mentor software engineers while ensuring high-quality code and collaboration with cross-functional teams to deliver innovative solutions.

Title: Staff AI VFX Engineer Location: Culver City, California, United States of America - Seattle, Washington, United States of America - San Francisco, California, United States of America - San Jose, California, United States of America Job Description: The Opportunity As AI rapidly transforms creative industries, professional production workflows must evolve alongside it. At Firefly Foundry, we're leading an industry-first initiative to define how generative AI integrates into high-end visual effects for feature films and episodic content. A major franchise holder doesn't get a generic model; they get a model that knows their characters, environments, and visual style, integrated directly into production-grade tools. Generative AI has limited practical application in VFX pipelines with real world production challenges. The true breakthrough will come from achieving production-grade quality, deeply integrating with existing DCC tools, and establishing AI as a new, fully realized field within visual effects. That's exactly what we're building. At Foundry, we approach this work with a deep respect for the artistry and craft of VFX. Our mission is grounded in empowering artists while ensuring the responsible and commercially safe use of AI in production environments. We're looking for pioneers who want to help define what AI-driven VFX looks like at the highest level. You'll work directly with studios, VFX houses, and creative leadership to take Foundry from pilot to production-scale deployment. What You'll Do - Build and validate AI-driven VFX workflows: Design end-to-end pipelines that integrate Foundry's custom-trained diffusion and video models into compositing, look-dev, previs, and virtual production. You'll write working prototypes, not slide decks to prove out new approaches with real shot data. - Solve hard production problems: Tackle the issues that block adoption: temporal coherence across shot sequences, maintaining art-directable control over generated elements, matching on-set lighting and lens characteristics, and hitting the fidelity bar that supervisors demand. - Own the integration surface: Define how Foundry models plug into Nuke, Houdini, Maya, After Effects, Premiere Pro, and Substance 3D. Design the APIs, node graphs, and plugin architectures that make AI-generated assets first-class citizens in existing pipelines, including USD/OpenEXR/ACES-compliant outputs. - Shape the product from the production floor: Translate what you learn from studio engagements into concrete product requirements for the Firefly and Foundry engineering teams. You're the bridge between what a VFX supervisor needs at 2 AM during a color session and what our model architecture can deliver. - Implement and prototype multi-modal model orchestration: Foundry doesn't ship a single model. It ships a coordinated stack of image, video, animation, and 3D generation models that need to work together. You'll design the orchestration layer: how a character generated in the image model maintains identity when animated by the video model; how texture maps generated for Substance 3D stay consistent with hero shots generated in the image pipeline; how style transfer models constrain the output space to a franchise's visual language across all modalities. - Engage studio and VFX leadership: Present to CTOs, VFX supervisors, and heads of production. Run technical deep-dives and creative workshops. You'll need to be as credible talking to a Nuke compositor as you are in a boardroom with studio executives. - Codify repeatable playbooks: Document reference architectures, prompt engineering strategies for VFX use cases, quality evaluation pipelines, and deployment patterns so the next studio engagement doesn't start from scratch. Required - 5 - 10+ years in VFX engineering, pipeline TD, or tools development with shipped credits in film, episodic, or AAA gaming. - Deep fluency in production VFX workflows: compositing (Nuke), 3D (Maya/Houdini), rendering, look-dev, previs/postvis, editorial handoff, and review (Shotgrid, Frame.io, or equivalent). - Working knowledge of generative AI fundamentals e.g. diffusion models, LoRA/fine-tuning, ControlNet-style conditioning, prompt engineering, and evaluation metrics (FID, CLIP, perceptual loss). You don't need to have trained a model from scratch, but you need to understand what's happening under the hood well enough to debug workflow failures. - Proficiency in Python and at least one of C++, Rust, or TypeScript. Comfortable writing production-quality code, not just scripts. - Familiarity with VFX data standards: OpenEXR, ACES, USD, Alembic, OpenColorIO. - Ability to communicate technical concepts to non-technical studio leadership. Strong written communication, you can write a clear 1-pager or technical design doc. Preferred - Credits on major feature films or high-profile episodic VFX (think tentpole-scale, not just indie shorts). - Experience with real-time rendering (Unreal Engine, virtual production stages, LED volumes). - Hands-on experience fine-tuning or deploying generative models (Stable Diffusion, Runway, ComfyUI, or similar). - Background in computer vision or image processing (optical flow, segmentation, depth estimation, upscaling). - Prior experience in a customer-facing technical role (solutions engineer, field CTO, technical account lead). Who You'll Work With Firefly Foundry Applied Scientists, product engineers, VFX and M&E Solutions Engineers, Adobe product teams across Firefly, Photoshop, Premiere Pro, After Effects, Substance 3D, and Frame.io, plus Customer Success, Security/Privacy/Legal, and Partner/Alliances. Externally, you'll be embedded with studio technical leadership, VFX supervisors, and pipeline teams. Logistics - Location: Hybrid/Remote flexible. - Travel: ~10-15% to studios, post houses, production locations, and industry events (SIGGRAPH, NAB, VES, etc.). Why This Role - You'll be defining a category, not iterating on an existing product. Custom-trained generative AI for VFX production doesn't have a playbook yet. You're writing it. - Adobe's creative tool ecosystem (Photoshop, Premiere, After Effects, Substance 3D, Frame.io) gives Foundry a distribution and integration advantage that no pure-play AI startup can match. - You'll work directly with major studios and franchise holders on IP that you'll actually see on screen. - You'll have a direct line from field reality to product roadmap, the kind of influence that senior engineers at most companies never get. #FireflyGenAI About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $211,800 - $306,625 In Washington, the pay range for this position is $201,000 - $291,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.