FinTech

Senior Machine Learning Engineer

Robinhood · [ProspectLand]

CORE_AI_JOBgreenhouse2026-06-26

Machine Learning Large Language Models LLM Fine-tuning RLHF Retrieval Augmented Generation Vector Indexes Model Optimization Quantization Pruning Distillation MLOps Data Pipelines

Warum echter KI-Job:
The role explicitly focuses on building, fine-tuning, and deploying machine learning systems and large language models for core product use cases. The required skills are heavily weighted towards advanced AI/ML techniques.

Auszug

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an…

Ähnliche Jobs

Manager, Machine Learning Research Scientist, GenAI

Scale AI · San Francisco, CA

98/100

San Francisco, CAUSAgreenhouse2026-06-08

Machine Learning Generative AI Research Science Deep Learning Agent/RL Systems Evaluation Methodologies Post-Training Agentic/RL Environments Large Language Models

Warum echter KI-Job: Die Rolle ist eindeutig auf führende Forschung in KI, insbesondere in Generative AI, Agenten und RL-Systemen ausgerichtet. Die Aufgaben beinhalten die Leitung einer Forschungsgruppe, die Entwicklung von Forschungsroadmaps und die Umsetzung von Prototypen in r…

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontie…

Details Quelle / Bewerbung öffnen

Staff Machine Learning Research Scientist, LLM Evals

Scale AI · San Francisco, CA

98/100

San Francisco, CAUSAgreenhouse2026-06-04

Machine Learning Large Language Models (LLMs)NLP Transformer Modeling Evaluation Methodologies Benchmarking ML Research MLOps Reproducible Pipelines AI Research Publication

Warum echter KI-Job: Die Rolle ist zentral auf die Entwicklung und Forschung von Evaluationsmethoden fuer LLMs ausgerichtet. Die Aufgaben beinhalten die Gestaltung von Benchmarks, die Entwicklung von Metriken, die Implementierung skalierbarer Pipelines und die Veröffentlichung vo…

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigoro…

Details Quelle / Bewerbung öffnen

Principal Machine Learning Engineer, App SW

Wayve · Sunnyvale, California USA

98/100

Sunnyvale, California USAUKgreenhouse2026-05-28

Machine Learning Deep Learning Model Architecture Data Pipelines Evaluation Frameworks Real-world Deployment MLOps PyTorch Python C++

Warum echter KI-Job: Die Rolle eines Principal ML Engineers bei Wayve ist klar auf die Entwicklung und Bereitstellung leistungsstarker, robusten und generalisierbaren ML-Modelle für autonome Fahrzeuge ausgerichtet. Die Aufgaben umfassen die gesamte Kette von Modellarchitektur, Da…

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…

Details Quelle / Bewerbung öffnen

Sr. Machine Learning Engineer

Databricks · San Francisco, California

98/100

San Francisco, CaliforniaUSAgreenhouse2026-05-26

Machine Learning LLM (Large Language Models)GenAI (Generative AI)Fine-tuning Prompt Engineering RAG (Retrieval-Augmented Generation)MLOps Model Deployment Python TensorFlow

Warum echter KI-Job: Die Rolle eines Senior Machine Learning Engineers bei Databricks ist stark auf die Entwicklung und Bereitstellung von GenAI-Produkten ausgerichtet. Die Aufgaben beinhalten die Entwicklung von LLMs, die Gestaltung von AI-Features, die Erstellung von ML-Pipelin…

P-1131 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products ar…

Details Quelle / Bewerbung öffnen

Staff Machine Learning Engineer (Research Scientist) - DFAI

Plaid · San Francisco HQ

95/100

San Francisco HQUSAFullTimeashby2026-06-26

Machine Learning Deep Learning LLMs Foundation Models Transformers Data Science MLOps Python Distributed Training Model Deployment

Warum echter KI-Job: The role is explicitly focused on building and leading the technical strategy for foundation models, covering the entire ML lifecycle from data curation to production serving. The job description heavily emphasizes AI/ML expertise and its application to Plaid…

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…

Details Quelle / Bewerbung öffnen

Machine Learning Engineer (Research Scientist) - DFAI

Plaid · San Francisco HQ

95/100

San Francisco HQUSAFullTimeashby2026-06-26

Machine Learning Deep Learning LLMs Transformers Data Science Model Training MLOps Python Feature Engineering

Warum echter KI-Job: The role explicitly focuses on building and deploying foundation models, conducting ML research with production delivery, working across the full ML stack, and leveraging a unique financial dataset. The core responsibilities are deeply rooted in AI/ML.

Details Quelle / Bewerbung öffnen