{"id":50442,"url":"https://alion.io/job/adobe-ml-services-software-development-engineer","title":"ML Services Software Development Engineer","company":{"id":26,"name":"Adobe","domain":"adobe.com","url":"https://alion.io/company/adobe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":51,"ghost_share":0,"stale_share":0.784,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-17T21:24:56Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"The Opportunity\nThe Firefly GenAI Romania Services engineering team is looking for a ML Services Software Development Engineer to create unique experiences for Creative Cloud clients.\nOur goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary Firefly and Express applications!\nhttps://firefly.adobe.com/\nhttps://www.adobe.com/express/\nOur team owns the model customization and inference layer behind Firefly - from training and fine-tuning custom generative models to serving them at scale in production. You'll work at the intersection of ML infrastructure and distributed systems, on problems like GPU cost/throughput optimization, resilient large-scale inference serving, and enterprise-grade customization (e.g., brand-consistent generation for our largest customers).\nWhat you'll Do\nArchitect and implement performant, robust and scalable GenAI services that support different deep learning models (training and inference) in large-scale, distributed environments\n\nLead inference and training platform projects end-to-end - from scoping requirements to launch and ongoing production support\n\nIdentify and resolve usability, extensibility, and scalability issues specific to the ML services platform\n\nCollaborate with machine learning researchers to translate model requirements into infrastructure decisions, improving GPU utilization and cost-efficiency across training and inference workloads\n\nMonitor ML platform performance and continuously tune infrastructure to fit fluid cloud resource needs, balancing peak-load reliability against average-load cost\n\nDesign APIs and services that handle diverse, real-world input formats robustly (e.g., broad image format support) without pushing unnecessary conversion burden onto clients\n\nWork closely with teams across Adobe, across geographies, including cross-org partners building enterprise-focused generation capabilities. The technology you produce has visibility at the highest levels of the company and materially affects the positive impact our products have on customers\n\nWhat you need to succeed\nB.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or a related field\n\nExpert in Python and distributed systems\n\nSolid understanding of deep learning fundamentals - model architectures, training vs. inference lifecycle, and common tradeoffs (latency, throughput, batching, precision)\n\nWorking familiarity with ML frameworks (e.g., PyTorch) and model serving concepts, sufficient to collaborate effectively with ML researchers on infrastructure requirements\n\nUnderstanding of GPU computing as applied to ML workloads (memory management, batching strategies, mixed precision) and how it drives cost/throughput decisions\n\nProficiency in Linux, Docker, Kubernetes\n\nExperience working with AWS or similar cloud infrastructure\n\nExperience working with large and complex codebases, employing API design techniques to maintain clean, maintainable code\n\nNice to Have\nWeb application development experience\n\nExperience with CI/CD systems\n\nExperience with Agile development processes including Scrum\n\nAbout Adobe\nAdobe 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.\nOur 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.\n\nLet’s Adobe together\nAt 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.\nAdobe 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.\nAdobe 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 .\nAI Use Guidelines for Interviews:\nOur 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.\nAt 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. 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