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Sciforium · 1 day ago

Machine Learning Engineer

San Francisco, CA

Full-time

Onsite

Mid, Senior Level

$200K/yr - $275K/yr

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. The role of Research Engineer involves working on the full foundation-model stack, including pretraining, post-training, and deployment optimization, to deliver models that serve real-world use cases at scale.

Artificial Intelligence (AI)

Responsibilities

Train large byte-native foundation models across massive, heterogeneous corpora

Design stable training recipes and scaling laws for novel architectures

Improve throughput, memory efficiency, and utilization on large GPU clusters

Build and maintain distributed training infrastructure and fault-tolerant pipelines

Develop post-training pipelines (SFT, preference optimization, RLHF/RLAIF, RL)

Curate and generate targeted datasets to improve specific model capabilities

Build reward models and evaluation frameworks to drive iterative improvement

Explore inference-time learning and compute techniques to enhance performance

Build scalable sandbox environments for agent evaluation and learning

Create realistic, high-signal automated evals for reasoning, tool use, and safety

Design offline + online environments that support RL-style training at scale

Instrument environments for observability, reproducibility, and iteration speed

Optimize inference throughput/latency for byte-native architectures

Build high-performance serving pipelines (KV caching, batching, quantization, etc.)

Improve end-to-end model efficiency, cost, and reliability in production

Profile and optimize GPU kernels, runtime bottlenecks, and memory behavior

Qualification

Deep LearningLarge Neural NetworksDistributed SystemsReinforcement LearningInference OptimizationETL PipelinesSoftware EngineeringExperimental HygieneResearch Orientation