AI Model Training Development Engineer Job at AMD (Beijing)

AI Research Engineer, VLA Models

As a Research Engineer on the Vision-Language Action (VLA) team, you will be res...

Location

United States , Palo Alto

Salary:

180000.00 - 300000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming skills in Python and familiarity with build systems like Bazel
Experience using deep learning frameworks such as PyTorch
Proficiency in simulation environments like Isaac Sim or MuJoCo
Deep understanding of generalization in autonomous systems
Experience designing and validating evaluation metrics in real or simulated environments
Ability to work cross-functionally with controls, QA, and data teams to operationalize models

Job Responsibility

Take end-to-end ownership of autonomous capability development: data review, model design, deployment, and fleet performance monitoring
Train NEO to perform whole-body manipulation and navigation tasks in unfamiliar environments
Design robust evaluation metrics to support scalable model pre-training
Experiment with cutting-edge vision-language and generative model techniques to predict robot actions
Collaborate with controls, QA, and data teams to deploy reinforcement learning policies to the production fleet

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

AI Engineer

Join Inference Group, a team of passionate innovators devoted to empowering busi...

Location

Salary:

Not provided

Inference Group

Expiration Date

Until further notice

Requirements

Skilled in AI engineering
Experience in creating, programming, and training complex networks of algorithms
Experience in evaluating and comparing algorithm performance based on large, real-world data sets
Experience in designing and implementing Machine Learning algorithms
Experience in undertaking data mining exercises from various sources
Experience in oversight of ongoing AI/ML engineering projects
Experience in creating intelligent AI models utilizing deep learning, neural networks, and ML algorithms
Well-versed in programming, software engineering, and data science fields
Passionate and curious about ongoing development within the AI/ML space
Previous experience delivering engineering projects focused on realising the potential of AI/ML within a consultancy space

Job Responsibility

Broaden engineering capabilities
Create, program, and train complex networks of algorithms to grow AI programmes
Evaluate and compare algorithm performance based on large, real-world data sets
Design and implement Machine Learning algorithms
Undertake various data mining exercises from various sources to gain valuable insights to accelerate existing algorithms and future models
Provide oversight of ongoing AI/ML engineering projects
Play a crucial role in supporting clients' objectives by providing important technical insights into ongoing digital transformation and delivery
Create intelligent AI models which utilise deep learning, neural networks and ML algorithms to gain key business insights and create opportunities for informed decision making and future planning

What we offer

Opportunity to work alongside leading experts in data, AI, and technology
Access to the latest technology
Training and certifications
Commitment to ongoing learning and development

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Model Optimization Engineer

We are looking for a hands‑on Engineer to design, implement, and optimize AI mod...

Location

China , Beijing

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Strong software engineering in Python and C/C++
Practical experience with PyTorch/JAX and building/extending deep learning frameworks
Hands‑on CUDA and/or ROCm development
experience writing or optimizing GPU kernels
Experience with Triton (kernel development/optimization) is highly desired
Proven experience with model optimization techniques, especially low‑bitwidth quantization and other compression methods
Familiarity with GenAI inference engines and optimizations (e.g., vLLM, SGLang, xDiT, continuous batching, speculative decoding)
Skilled at profiling and performance debugging across stack layers (operator → model → framework → hardware)

Job Responsibility

Design, implement, and optimize inference and training pipelines for AMD GPUs/accelerators at the framework, model, and operator levels
Lead research and development of model optimization algorithms: low‑bitwidth quantization, pruning/sparsity, compression, efficient attention mechanisms, and lightweight architectures
Implement and tune CUDA/ROCm/Triton kernels for critical operators
profile and eliminate performance bottlenecks
Integrate and optimize models for PyTorch/JAX and common distributed training/inference stacks (Torchtitan, Megatron, DeepSpeed, HF Transformers, etc.)
Reduce latency and increase throughput for large‑model inference (e.g., batching strategies, caching, speculative decoding)
Contribute to and/or maintain open‑source inference/training tools, ensuring production readiness and community adoption
Provide technical support and guidance to customers and internal teams to achieve target accuracy and performance on AMD platforms

Senior Platform Engineer, AI Evaluation

We’re looking for an AI Platform Engineer to evolve and extend our internal eval...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
5 years of Software Engineering experience with 2+ of those years working on the evaluation of generative AI systems
Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect)
Familiarity with the architecture of large language models and their industry-standard APIs

Job Responsibility

Evolve and extend our internal evaluation framework for assessing the quality of our AI-driven experiences
Work closely with ML data engineers and platform developers to help internal teams adopt an eval-driven development process incorporating offline benchmark tests and online experiments
Gather internal requirements, getting buy-in for changes, and then developing documentation and training materials

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026
Remote-first culture
Generous parental leave
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

Sr. Software Development Engineer

We are looking for a Senior Software Engineer who will bring creativity and expe...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

6-10 years of experience building distributed systems, working with databases, and implementing production-ready high quality features
Proficiency in building, integrating with, and supporting APIs and web services using a variety of languages, data formats, and data transformations
Demonstrated ability to effectively collaborate with cross-functional teams, including designers, product managers, and other developers, to develop and deliver high-quality applications
An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals
Comfortable with modern open source technologies and tools
Experience developing software products, scalable internet software, and applications using a range of software models including object-oriented and functional design patterns
B.S./M.S. in Computer Science or equivalent industry experience

Job Responsibility

Partner with UX, Product Management, Data Science, and other teams to create software that customers love
Develop clean, reusable, supportable, and well-tested RESTful APIs and web services, including Highspot’s external API
Optimize and perform enhancements to large-scale data services built on top of MongoDB, Postgres, Redis, and other technologies
Integrate Highspot with external APIs, including third-party Customer Relationship Management (CRM) systems, Content Management Systems (CMS), and other partner applications
Collaborate with the Data Science team to integrate advanced machine learning models into the application to deliver cutting edge AI features and help solve complex business problems for customers
Build scalable methodologies, tools, and techniques accompanied by excellent technical documentation
Stay abreast of new technologies and practices to further enhance team capabilities and your own skill
Act as a mentor and source for direction, training, and guidance for more junior engineers

Fulltime

Research Engineer, World Models

You will build large multi-modal generative “world models” that predict future s...

Location

United States , Palo Alto

Salary:

180000.00 - 300000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience with Python (and related tooling such as Bazel)
Proficiency with PyTorch or equivalent deep learning frameworks
Familiarity with simulation platforms (e.g., Isaac Sim, MuJoCo)
Experience building or working with multi-modal generative models combining video, audio, text, and action prediction
Ability to design and optimize large-scale data pipelines and loaders for training
Understanding of scaling laws and metrics for foundation models

Job Responsibility

Full-stack engineering: data engineering, model architecture design, and delivering polished products
Develop high-throughput data loaders for large multi-modal datasets
Implement tokenizers and transformers tailored for web-scale robot data
Translate improvements in world model architectures into improvements in robot autonomy
Predict how real-world robot performance scales with pre-training metrics (e.g., log loss)

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

AI Model Training Development Engineer

AMD

Location:
China , Beijing ▼
Shanghai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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