Founding Machine Learning Engineer jobs in United States
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A1 · 1 day ago

Founding Machine Learning Engineer

A1 is a self-funded, independent AI group focused on building a new consumer AI application with global impact. The Founding Machine Learning Engineer will shape the core technical direction of the company, including model selection, training strategy, and infrastructure, while having full autonomy to experiment with frontier models and design systems for scalable deployment architectures.

Computer Software

Responsibilities

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

Qualification

Deep learningTransformer architecturesPyTorchDistributed training frameworksGPU optimizationSoftware engineeringLLM fine-tuningModel architecture designData systems developmentEvaluation frameworksOpen-source contributionsScientific computingRLHF pipelinesLarge-scale data processingSoft skills

Required

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

Preferred

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)

Company

A1

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A1 is research and product group focused on building essential, next-gen applications that benefits the wider society, not the exclusive few.

Funding

Current Stage
Early Stage
Company data provided by crunchbase