Staff Machine Learning Engineer
Bjak · Remote
- Posted
- 8 days ago
- Last confirmed live
- Today
What this role involves
This is a Staff Machine Learning Engineer role at Bjak, focusing on building AI-native applications. The role involves owning end-to-end ML system execution, including data pipelines, training, evaluation, and deployment. The ideal candidate has experience shipping real ML systems and is comfortable with large models and production constraints.
Skills this posting asks for
- python
- pytorch
- jax
- gpu
- lora
- qlora
- sft
- dpo
- distillation
- ml pipelines
- data pipelines
- training workflows
- evaluation systems
- inference architecture
- deployment
- gpu optimization
- memory efficiency
- latency reduction
- scaling policies
- backend
- mobile
- desktop
Requirements
- Level: staff
From the employer’s posting
ABOUT A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting. Our pro…
Read the full description on Bjak’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at Bjak
- UX DesignerRemote
- Product Designer (UX), HCIRemote
- UX Designer, AI AppRemote
- VP of Research, Machine LearningRemote
- Technical Product Manager, AI SystemsRemote
- Principal Machine Learning EngineerRemote