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Desarrollador Backend Java Senior Buscamos un Backend Developer Java con sólida experiencia en desarrollo de aplicaciones y arquitecturas basadas en microservicios para incorporarse a un proyecto del sector seguros en…
1011_機械学習エンジニア（データ収集〜ロボット基盤モデル開発）【正社員】 仕事概要 ## 募集背景 ugoは2026年9月、ロボット基盤モデル開発の本格化に向けて2つの発表をしました。 ### [GENIACに採択（2026年9月9日発表）](https://ugo.plus/information/2026/09/09/geniac/)…
約30万エピソードを、モデル開発のスピードに変える。データから評価までのML基盤を担う 仕事概要 ## 募集背景 ugoは2026年9月、ロボット基盤モデル開発の本格化に向けて2つの発表をしました。 ### [GENIACに採択（2026年9月9日発表）](https://ugo.plus/information/2026/09/09/geniac/)…
Overview Senior Implementation Engineer Location: Remote – US Work Model: Remote About the Role The Senior Implementation Engineer is responsible for implementing in all phases of the design, test, and implementation…
We are looking for a Head of ML / Head of Quant Research to take full ownership of developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals). You will take over a live, operating…
Oracle Hardware Platform Development Engineering is seeking a highly driven AI Systems Engineer to evaluate and characterize next-generation GPU and AI accelerator platforms for Oracle Cloud Infrastructure (OCI). This…
The Center for Therapeutic Genetics is a non-profit collaboration among the Broad Institute, Boston Children's Hospital, and The Jackson Laboratory. It develops genetic medicines for rare and ultra-rare diseases…
Location: Woodlawn, MD – On-site, 5 days per week Employment: Full-time Compensation: $125,000-$155,000/year, based on experience Clearance: Must be able to obtain and maintain Public Trust Position ID: SO-5358…
DT (NASDAQ: APPS) is unifying the full mobile experience. Our growth platform powers the mobile ecosystem by bringing together advertisers, app developers, and device partners, to create a unique and premium value…
ML Infrastructure Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
AI Research Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
GPU Software Engineer (CUDA)– Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Senior Applied AI Engineer who embeds as the AI expert across Clariti's product teams, turning ML research into production features spanning LLMs, agentic AI, and computer vision — from scoping and PoC through production using MLOps tooling. Clariti builds govtech software for permitting, land use, and regulatory compliance.
Develops and scales large-scale model training for Apple's Cloud AI Platform — creating training recipes for pre-training, fine-tuning, reinforcement learning, and distillation on thousands of GPUs/TPUs, using PyTorch or JAX and frameworks like Megatron-LM or DeepSpeed, while setting technical direction across teams.
Designs and optimizes RNA and DNA sequences using machine learning to improve biological function, collaborating with experimental and platform teams to integrate models into an autonomous science system.
Senior/Staff ML engineer on LILA's Applied AI team, adapting the company's scientific AI models to real customer workflows: training and evaluating LLMs, building evaluation loops, debugging model behavior, and moving capabilities into production systems. Core stack: Python, PyTorch/JAX, distributed training frameworks (DeepSpeed, Ray), and agentic LLM systems.
Senior backend software engineer on LILA Sciences' Data Platform Team, building the data backbone of its autonomous 'AI Science Factory' — high-performance APIs, SQL/NoSQL/vector database systems, workflow orchestration, and cloud infrastructure (AWS, Kubernetes) that turn lab and instrument data into faster scientific discovery.
Senior software engineer on LILA Sciences' Application team, building the full-stack, AI-native platform that lets scientists collaborate with AI agents — designing UI and APIs, scaling SQL/NoSQL/vector databases, and running workloads on AWS and Kubernetes to connect AI to automated lab workflows.
Designs and builds the AI-native application layer of LILA's scientific discovery platform: full-stack UIs and APIs (React, TypeScript, FastAPI, Python), database architecture across SQL/NoSQL/vector stores, and AWS/Kubernetes infrastructure so researchers can collaborate with AI agents from hypothesis to experiment.
