Research Engineer, World Models Job at 1X Technologies (Palo Alto)

AI 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 tools such as Bazel
Proficiency with PyTorch or equivalent deep learning frameworks
Familiarity with simulation platforms such as Isaac Sim or MuJoCo
Experience working with multi-modal generative models combining video, audio, text, and action prediction
Ability to design and optimize large-scale data pipelines for training
Understanding of scaling laws and performance metrics for foundation models

Job Responsibility

Build full-stack systems across data engineering, model architecture, and product delivery
Develop high-throughput data loaders for large-scale, multi-modal robot datasets
Implement tokenizers and transformers designed for web-scale robotic data
Improve robot autonomy by advancing world model architectures
Predict robot performance in the real world based on pre-training metrics such as log loss

What we offer

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

AI 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 tools such as Bazel
Proficiency with PyTorch or equivalent deep learning frameworks
Familiarity with simulation platforms such as Isaac Sim or MuJoCo
Experience working with multi-modal generative models combining video, audio, text, and action prediction
Ability to design and optimize large-scale data pipelines for training
Understanding of scaling laws and performance metrics for foundation models

Job Responsibility

Build full-stack systems across data engineering, model architecture, and product delivery
Develop high-throughput data loaders for large-scale, multi-modal robot datasets
Implement tokenizers and transformers designed for web-scale robotic data
Improve robot autonomy by advancing world model architectures
Predict robot performance in the real world based on pre-training metrics such as log loss

What we offer

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

Fulltime

Research Scientist – World Models, Robotics & Embodied AI

Meta Reality Labs Research (RL Research) brings together a team of researchers a...

Location

United Kingdom , London

Salary:

Not provided

Research Engineer / Machine Learning Engineer - B2B Applications

OpenAI is at the forefront of artificial intelligence, driving innovation and sh...

Location

United States , San Francisco

Salary:

295000.00 - 445000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Master's/ PhD degree in Computer Science, Machine Learning, or a related field
2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
Demonstrated experience in deep learning and transformers models
Proficiency in frameworks like PyTorch or Tensorflow
Strong foundation in data structures, algorithms, and software engineering principles
Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
Excellent problem-solving and analytical skills, with a proactive approach to challenges
Ability to work collaboratively with cross-functional teams
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

Job Responsibility

Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact
Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives
Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches
Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Data Research Engineer

Fundamental is an AI company pioneering the future of enterprise decision-making...

Location

Spain , Barcelona

Salary:

Not provided

Fundamental

Expiration Date

Until further notice

Requirements

Experience with: Identifying good data sources to train and evaluate ML models, including real-world and realistic synthetic data sources
Bringing data from structured and unstructured sources, as well as simulators and causal models, into formats accessible by ML models
Strong fundamentals of software engineering
Strong knowledge of: Python
Python data processing stack (numpy, pandas, …)
Familiarity with: distributed processing (e.g. Ray, Dask Spark, Beam)
data storage solutions
Basic ML knowledge

Job Responsibility

Helping to identify, characterize and evaluate data sources, including realistic synthetic data generated from Structured Causal Models and physical / systems-based simulators
Building and maintaining ETL pipelines
Designing and implementing scalable, reliable data storage solutions
Collaborating with the rest of the research team to maintain a reliable, efficient training pipeline where data is a critical component
Collaborating with the wider engineering and infrastructure team

What we offer

Competitive compensation with salary and equity
Comprehensive health coverage for you and your dependents
Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
Relocation support for employees moving to join the team in one of our office locations
A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Fulltime