Referso Jobs

Principal Data Scientist

Walmart · Posted Nov 11, 2026

Open

Bangalore, Karnataka, India
Senior
10+ years

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Principal Data Scientist

Walmart · Posted Nov 11, 2026

Open

Bangalore, Karnataka, India
Senior
10+ years

Apply with Referso

Senior Platform Software Engineer

Oracle · Posted Nov 6, 2026

Open

Nashville, Tennessee, United States
Full-time · Senior
$88K–$210K per year
5+ years

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Lead the design and implementation of distributed, scalable AI model training and serving systems for Oracle Cloud Infrastructure’s Generative AI Service.

Compensation

US: Hiring Range in USD from: $87,800 to $209,500 per annum. May be eligible for bonus and equity.

Responsibilities

Design and build high-performance AI model training and serving systems
Optimize model performance and scalability
Deploy solutions into production
Diagnose, troubleshoot and resolve issues in AI model training and serving

Requirements

BS in Computer Science
Nice to have: MS in Computer Science
Nice to have: production cloud computing
Nice to have: LLM fine-tuning
Nice to have: multi-task serving technologies

Skills

Python shell scripting Kubernetes container orchestration production operations troubleshooting

Research Engineer / Scientist, Agentic RL Post-Training (all genders)

ellamind · Posted Nov 10, 2026

Open

Bremen, Germany +2 more

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Locations (3)

Bremen, Germany
Berlin, Germany
European Union

Responsibilities

Train models for agentic work in European companies and public administration
Post-training end-to-end from SFT warm starts to on-policy RL runs
Abate properly and keep only what survives
Find out why training is lying to you
Ship models to customers or open source

Requirements

Nice to have: OpenRLHF
Nice to have: TRL
Nice to have: OpenEuroLLM
Nice to have: LeoLM
Nice to have: SOOFI

Skills

PyTorch

Senior Applied AI Engineer - Artificial Intelligence

Bloomberg · Posted Nov 12, 2026

Open

Full-time · Senior
$165K–$260K per year
2+ years

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Lead the development and deployment of large language models for Bloomberg’s AI-driven financial products.

Compensation

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus

Responsibilities

Collaborate with colleagues on building and applying LLMs for production systems and applications
Write, test, and maintain production quality code
Tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
Demonstrate technical leadership by owning cross-team projects
Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies

Requirements

Ph.D. in ML, NLP or a relevant field
MSc in CS, ML, Math, Statistics, Engineering or related fields
Nice to have: Authoring publications in top conferences and journals

Skills

Natural Language Processing Machine Learning Deep Learning Statistical Modeling

Senior Principal Machine Learning Engineer (Fulfilment)

Grab · Posted Nov 10, 2026

Open

Beijing, China
On-site
Full-time · Principal
10+ years

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Lead architect and technical lead for autonomous marketplace decisioning systems, guiding research-to-production ML/RL pipelines and generative AI tools.

Responsibilities

Architect and implement end-to-end reinforcement learning pipelines for pricing, dispatch, and supply repositioning
Design latent world models and spatio-temporal marketplace state representations
Establish off-policy evaluation frameworks and safety guardrails
Build behavioural simulation systems using fine-tuned LLMs
Partner with backend, streaming, and platform engineering teams to deploy low-latency decision agents

Requirements

PhD in Computer Science, Operations Research, Applied Mathematics, or related quantitative discipline
Master’s degree with 12+ years of equivalent experience

Skills

reinforcement learning Markov Decision Processes offline RL reward shaping large language model adaptation

Principal Platform Software Engineer

Oracle · Posted Nov 6, 2026

Open

Washington, United States
Full-time · Manager
$106K–$235K per year
5+ years

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Build and operate massive-scale cloud services leveraging state of art machine learning technologies in Oracle Cloud Infrastructure Generative AI Service team.

Compensation

US: Hiring Range in USD from: $105,900 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Responsibilities

Design and build distributed, scalable, high-performance AI model training and serving systems
Optimize model performance and scalability
Deploy solutions into production in business-critical scenarios
Diagnose, troubleshoot and resolve issues in AI model training and serving

Requirements

BS in Computer Science
Nice to have: MS in Computer Science
Nice to have: cloud computing production experience
Nice to have: LLM fine-tuning
Nice to have: multi-task serving

Skills

Python shell scripting Kubernetes container orchestration production operations troubleshooting

Staff Software Engineer, Machine Learning, TPU Workload Optimization

Google · Posted Nov 10, 2026

Open

Singapore, Singapore
On-site
Full-time · Senior
8+ years

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Lead ML software engineering for TPU training and inference optimization

Responsibilities

Act as ML software engineer leading the onboarding for stable stack, and optimization for training and serving solutions on the latest TPU NPIs.
Set the technical direction and architect the training/inference onboarding and optimization frameworks for our customer needs.
Work closely with customers to onboard their workloads to production and optimization.
Collaborate with the ML research, ML performance, model optimization tooling, and other optimization teams.
Ship stable stack to our customers for training/inference optimization solutions on TPU.

Requirements

Bachelor’s degree or equivalent practical experience
Nice to have: Master’s degree or PhD in Engineering, Computer Science, or a related technical field
Nice to have: optimizing machine learning models for large scale training/inference workloads
Nice to have: large scale ML optimizations techniques for improving latency and throughput
Nice to have: experience with accelerators (TPUs or GPUs) or HPC

Skills

software development ML design

Machine Learning Researcher

Raydar · Posted Nov 10, 2026

Open

San Francisco, California, United States
On-site
Full-time · Senior
$200K–$300K per year
5–10 years

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Lead research work from early hypothesis to working model, tying gains from offline experiments to results seen in practice.

Compensation

Base salary: USD 200,000 to 300,000 per year

Responsibilities

Modify and train large models
Build reinforcement learning methods
Design synthetic-data and knowledge-distillation pipelines
Create benchmarks and evaluations
Run and troubleshoot large distributed training jobs

Requirements

Doctoral study
Nice to have: scientific data
Nice to have: multimodal data
Nice to have: experimental science
Nice to have: learning from fixed datasets

Skills

Python deep learning distributed training frameworks such as FSDP, DeepSpeed or Megatron large neural networks reinforcement learning synthetic-data pipelines

Algorithm Researcher — Agentic Vision

Tencent · Posted Nov 10, 2026

Open

Singapore, Singapore

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Lead full‑stack algorithm R&D for post‑training of Vision‑Language Models, advancing visual foundation perception, large model reliability, and user interaction scenarios.

Responsibilities

Lead Post‑Training R&D System for Vision‑Language Models
Advance Visual Foundation Perception
Enhance Large Model Reliability
Empower User Interaction Scenarios

Requirements

Master's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or related fields

Skills

Python PyTorch TensorFlow Megatron‑LM DeepSpeed vLLM distributed training large‑scale training Transformer architecture large language model training principles

See full job description

Machine Learning Engineer Intern - Video Foundation Models & Agentic AI

Maxinsights Corporation · Posted Nov 9, 2026

Open

Santa Clara, California, United States
Internship · Intern

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Internship focused on developing and optimizing video-language foundation models and related machine learning pipelines.

Responsibilities

Develop and improve video-language foundation models for fine-grained video understanding, temporal reasoning, and human-object interaction analysis.
Build and optimize machine learning pipelines for data processing, model training, evaluation, and inference.
Develop evaluation methods and benchmarks for video understanding and robotics applications.
Explore advanced techniques in multimodal learning, reinforcement learning, and agentic AI to improve model capabilities.
Collaborate with the team to translate new ideas into practical solutions and contribute to research and product development.

Requirements

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Robotics, or a related field
Nice to have: vision-language models
Nice to have: LLM/VLM fine-tuning
Nice to have: reinforcement learning
Nice to have: agentic AI

Skills

Python PyTorch deep learning

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