
Fireworks AI · Singapore, Singapore
ABOUT US: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most s...
At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the
fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and
are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C
company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an
ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research
straight from our production systems. A few examples of what that looks like in practice:
and published what we learned. (blog [https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think])
[https://fireworks.ai/blog/open-source-agents-frontier-advisors])
documented the patterns across dozens of customer engagements. (blog) [https://fireworks.ai/blog/fine-tuning-bottlenecks]
The Role
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology
partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and
customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in
executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you
also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress
the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the
relationships and trust that happen in person, not just over a call.
The Segment
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI
across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and
align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence
to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.
What You'll Work On
Technical Delivery and Deployment
constraints.
deployments so they can scale in their market without infrastructure becoming the bottleneck.
deployments to hit those targets
configs, and serving patterns across workloads.
Model Strategy and Fine-Tuning
quality targets.
Customer Engagement and Stakeholder Management
into a durable competitive edge.
solutions.
same meeting.
Product Feedback and Platform Improvement
and product to ship fixes and features.
urgency.
What We're Looking For
Minimum Qualifications
Engineer with field exposure, or technical founder.
someone else's production environment.
infrastructure engineering.
strong plus).
in the same afternoon.
Preferred Qualifications
their constraints, and shipping code that runs in their production systems.
Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and
comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience,
skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be
adjusted.
On Target Earnings (Plus Equity)
serving.
results.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for
all innovators.
ABOUT US: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. THE ROLE: As 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. KEY RESPONSIBILITIES: * Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. * Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. * Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. * Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. * New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. * Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. * Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. MINIMUM QUALIFICATIONS: * Bachelor’s degree in Computer Science, Engineering, or a related technical field. * 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. * Robust coding skills required, preferably with proficiency in Python. * Demonstrated ability to lead and execute complex technical projects with a focus on customer success. * Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. PREFERRED QUALIFICATIONS: * Master’s degree in Computer Science, Engineering, or a related technical field. * Experience working in a startup or fast-paced environment. * Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). * Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity) $180,000—$250,000 SGD WHY FIREWORKS AI? * Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. * Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. * Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. * Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
ABOUT US: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. ABOUT US: Here at Fireworks, we’re building the future of generative AI infrastructure. Fireworks offers the generative AI platform with the highest-quality models and the fastest, most scalable inference. We’ve been independently benchmarked to have the fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is funded by top investors, like Benchmark and Sequoia, and we’re an ambitious, fun team composed primarily of veterans from Pytorch and Google Vertex AI. THE ROLE: As a Backend Software Engineer, you’ll be responsible for designing and developing the core backend systems that power Fireworks AI’s high-performance generative AI platform. Your work will focus on ensuring efficiency, scalability, and stability in handling AI workloads. KEY RESPONSIBILITIES: * Design and build core backend software components, ensuring efficiency, scalability, and stability of system resources * Conduct design/code reviews and collaborate with cross-functional teams * Continuously analyze and optimize infrastructure efficiency for AI workloads (compute, storage, networking) MINIMUM QUALIFICATIONS: * Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 3+ years experience working in ML infra (PyTorch, Vertex AI, Sagemaker, etc.) * Experience building, scaling, and optimizing enterprise-grade Machine Learning systems PREFERRED QUALIFICATIONS: * Experience in AI or large scale infrastructure * Master’s or PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience WHY FIREWORKS AI? * Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. * Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. * Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. * Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity) $180,000—$250,000 SGD WHY FIREWORKS AI? * Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. * Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. * Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. * Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com [wppmedia.com]. Role Summary and Impact As a Performance Executive (Social), you will support the planning, execution, optimisation, and reporting of paid social campaigns across multiple clients. You will work closely with internal teams and stakeholders to deliver high-performing campaigns, ensuring client KPIs are met while driving continuous improvement through data-driven insights. This role plays a key part in strengthening the agency’s paid social capabilities, while providing opportunities to deepen your expertise in biddable media and digital strategy. Core responsibilities * Execute, manage, and optimise paid social campaigns across platforms (e.g. Meta, TikTok, LinkedIn, etc.) * Support end-to-end campaign delivery including setup, monitoring, optimisation, and reporting * Track and analyse campaign performance, ensuring delivery against KPIs and client objectives * Provide meaningful insights and recommendations through campaign reporting * Identify growth opportunities and optimisation strategies within client accounts * Work closely with Performance Managers and internal teams to deliver campaigns effectively * Manage multiple projects and timelines across different clients * Build strong relationships with internal stakeholders and client teams * Contribute to knowledge sharing and continuous learning within the paid social team Measure of Success In three Months: * Develop a foundational understanding of paid social platforms and campaign execution * Build relationships with stakeholders and internal teams * Support campaign setup, reporting, and basic optimisation tasks * Gain understanding of client audiences, targeting, and campaign objectives In six months: * Independently manage paid social campaigns across multiple clients * Deliver consistent reporting with actionable insights * Identify optimisation opportunities and improve campaign performance * Streamline processes to improve reporting and operational efficiency In twelve months: * Become a subject matter expert on assigned clients’ social campaigns * Drive stronger performance outcomes and strategic recommendations * Increase adoption of broader biddable/social solutions within accounts * Contribute to overall client growth and paid social excellence What you will need * Bachelor’s degree or diploma in Marketing, Mass Communications, Business, or related field * 1–2 years of experience in paid social or digital marketing * Basic understanding of paid social platforms and buying mechanisms (Meta, TikTok, etc.) * Experience managing or supporting multiple client campaigns preferred * Strong analytical skills with ability to interpret campaign data and generate insights * Proficiency in Microsoft Excel and PowerPoint * Ability to manage multiple tasks and deadlines in a fast-paced environment * Strong communication skills with confidence in client interactions * Team player with collaborative mindset * Passion for digital media and eagerness to learn and grow Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) [https://www.wppmedia.com/pages/privacy-policy] for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted. Please read our Privacy Notice [https://www.wppmedia.com/pages/privacy-policy#:~:text=WPP%20Media%20Privacy%20Notice%20for%20Recruitment] for more information on how we process the information you provide. Please read our Privacy Notice [https://www.wppmedia.com/pages/privacy-policy#:~:text=WPP%20Media%20Privacy%20Notice%20for%20Recruitment] for more information on how we process the information you provide.