{"id":56770,"url":"https://alion.io/job/fireworks-applied-machine-learning-engineer-singapore","title":"Member of Technical Staff, Applied Machine Learning Engineer, Singapore","company":{"id":18243,"name":"Fireworks AI","domain":"fireworks.ai","url":"https://alion.io/company/fireworks","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":82,"open_postings":15,"ghost_share":0,"stale_share":0.533,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":191000,"currency":"SGD","period":"year","gross":null,"usd_annual":148557},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Fireworks AI","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PyTorch","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"RLHF","optional":true},{"name":"SFT","optional":true}],"status":"live","first_seen_at":"2026-07-23T01:53:02Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-18T01:11:09Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"About Us:\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\nThe Role:\nAs an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.\nKey Responsibilities:\nCustomer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.\n\nDemo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.\n\nApplication Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.\n\nPlatform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.\n\nNew Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.\n\nPerformance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.\n\nPartnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.\n\nMinimum Qualifications:\nBachelor’s degree in Computer Science, Engineering, or a related technical field.\n\n5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.\n\nRobust coding skills required, preferably with proficiency in Python.\n\nDemonstrated ability to lead and execute complex technical projects with a focus on customer success.\n\nStrong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.\n\nPreferred Qualifications:\nMaster’s degree in Computer Science, Engineering, or a related technical field.\n\nExperience working in a startup or fast-paced environment.\n\nHands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).\n\nSolid understanding of generative AI, machine learning principles, and enterprise infrastructure.\n\nWhy Fireworks?\nSolve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\nBuild What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\nOwnership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results.\n\nLearn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. 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