Machine Learning Engineer, Multiverse Computing

• Seniority level: Associate
• This role requires a Bachelor's degree in Computer Science, Math, Physics, Physics, Data Science, Operations Research, or related field
• Strong programming skills in Python and the modern ML stack (e.g., PyTorch), plus fluency with data tooling (NumPy/Pandas) and basic software practices (git, unit tests, CI)
• Solid grounding in language modelling concepts around training, evaluation, model architecture, and data
• Comfort working with datasets at scale: collection, cleaning, filtering, labelling/annotation strategies, and quality controls
• Experience using GPU resources and familiarity with containerized workflows (e.g., Docker) and job schedulers or cloud orchestration
• Ability to read research papers, prototype ideas quickly, and turn them into reproducible, production‑ready code
• Clear, pragmatic communication and a collaborative mindset

Desirable

• We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback
• Build data and model pipelines end‑to‑end: create, source, augment, and validate datasets; stand up training/fine‑tuning/evaluation flows; and ship models that meet product and customer requirements
• Design rigorous evaluation frameworks to verify task competence and alignment; implement statistical testing, reliability checks, and continuous evaluation
• Scale training and inference: make effective use of distributed compute, optimize throughput/latency, and identify opportunities for algorithmic or systems‑level speedups
• Improve models post‑training: apply SFT and preference‑based or reinforcement learning methods to enhance helpfulness, safety, and reasoning
• Optimize and specialize models: apply compression techniques to meet performance and footprint targets
• Collaborate across research and engineering: partner with ML engineers, researchers, and software engineers on data curation, evaluation design, training runs, model serving, and observability
• Contribute to our shared codebase: write clean, well‑tested Python; document decisions and artifacts; uphold engineering standards
• You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients