Overview
Founding Machine Learning Engineer
Transform language models into real-world, high-impact product experiences.
A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.
You will shape the core technical direction of A1 – model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.
You won’t just fine-tune models – you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.
Why This Role Matters
• You are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.
• Your decisions shape our entire technical foundation – model architectures, training pipelines, inference systems, and long-term scalability.
• You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.
• You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.
• You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave. What You’ll Do
• Build end-to-end training pipelines: data → training → eval → inference
• Design new model architectures or adapt open-source frontier models
• Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
• Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed
• Build data systems for high-quality synthetic and real-world training data
• Develop alignment, safety, and guardrail strategies
• Design evaluation frameworks across performance, robustness, safety, and bias
• Own deployment: GPU optimization, latency reduction, scaling policies
• Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero
• Explore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal models What It’s Like to Work Here
• You take ownership – you solve problems end-to-end rather than wait for perfect instructions
• You learn through action – prototype → test → iterate → ship
• You’re calm in ambiguity – zero-to-one building energises you
• You bias toward speed with discipline – V1 now > perfect later
• You see failures and feedback as essential to growth
• You work with humility, curiosity, and a founder’s mindset
• You lift the bar for yourself and your teammates every day Requirements
• Strong background in deep learning and transformer architectures
• Hands-on experience training or fine-tuning large models (LLMs or vision models)
• Proficiency with PyTorch, JAX, or TensorFlow
• Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)
• Strong software engineering skills – writing robust, production-grade systems
• Experience with GPU optimization: memory efficiency, quantization, mixed precision
• Comfortable owning ambiguous, zero-to-one technical problems end-to-end Nice to Have
• Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)
• Contributions to open-source ML libraries
• Background in scientific computing, compilers, or GPU kernels
• Experience with RLHF pipelines (PPO, DPO, ORPO)
• Experience training or deploying multimodal or diffusion models
• Experience in large-scale data processing (Apache Arrow, Spark, Ray)
• Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You’ll Get
• Extreme ownership and autonomy from day one – you define and build key model systems.
• Founding-level influence over technical direction, model architecture, and product strategy.
• Remote-first flexibility
• High-impact scope-your work becomes core infrastructure of a global consumer AI product.
• Competitive compensation and performance-based bonuses
• Backing of a profitable US$2B group, with the speed of a startup
• Insurance coverage, flexible time off, and global travel insurance
• Opportunity to shape a new global AI product from zero
• A small, senior, high-performance team where you collaborate directly with founders and influence every major decision. Our Team & Culture
We operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders – we build, ship, iterate, and hold ourselves to a high technical bar.
If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.
About A1
A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Company:
Bjak Sdn Bhd
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
