San Francisco, California, United States · On-site
$273k–$345k/yr
Senior+
Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are m…
San Francisco, California, United States · On-site
$273k–$345k/yr
Senior+
Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are m…
San Francisco, California, United States · On-site
$143k–$185k/yr
Senior$1.6B raised
Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influ…
Skills: Network Engineering, Cloud Infrastructure, Routing and Switching, Zero Trust Segmentation, Python
Lead Hydrographic Surveyor About Us Ulysses is the ocean company. We build and operate autonomous surface and subsurface vehicles — addressing critical missions across defense, energy, and nature. Our vertically integrat…
Skills: Hydrographic Surveying, Multibeam Echosounder, AUV Operations, Data Processing, Geodesy
Principal System Integration Engineer (Enterprise Systems), Oracle BPEL / SOA Integration (1064) – Department of Technology
San Francisco, California, United States · Hybrid
$148k–$187k/yr
Senior
Company Description Specific information regarding this recruitment process is listed below: Appointment Type: Permanent Exempt (PEX), Full-Time position excluded by the Charter from the competitive civil service examina…
Skills: Oracle BPEL, Oracle SOA Suite, Oracle WebLogic, SQL, PL/SQL
San Francisco, California, United States · On-site
$140k–$160k/yr
Mid level$803M raised
Who We Are: We’re building the future of real estate — today. HomeLight is the essential technology platform used by hundreds of thousands of homebuyers and sellers to partner with top real estate agents and win at any s…
San Francisco, California, United States · On-site
$141k–$207k/yr
Senior+
Common and Baseline Responsibilities: Responsible for leading all phases of the design process with a high level of proficiency and expertise while adhering to firm and project goals and standards of excellence in design…
Skills: Healthcare Master Planning, Medical Architecture, Conceptual Design, Revit, Rhino
San Francisco, California, United States · On-site
Mid level$13M raised
We are a well-funded biotech company that is redefining drug discovery and development through our fully integrated platform. We combine ultra-high-throughput microfluidics driven functional screening, computational engi…
Skills: Molecular Cloning, Flow Cytometry, Elisa, Cell Line Culture, Primary T Cell Culture
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&…
San Francisco, California, United States · On-site
$111k–$185k/yr
Entry level$35M raised
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever…
About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems. The open-source framework is a lean, fast Python library that has grown to 53k+ GitHub stars, 7.…
Skills: Python, API Design, Open Source Maintenance, Developer Experience, LLMs
About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The Agent Management Pl…
Skills: React, TypeScript, Ruby on Rails, PostgreSQL, Hotwire
BKF is a multi-service infrastructure consulting firm providing civil engineering and surveying services across California, the Pacific Northwest, and beyond. With offices throughout California and the Portland area, BKF…
Skills: Full Cycle Recruitment, ATS Systems, Candidate Screening, Interviewing, Onboarding
Every day, we work together for what matters – bold, swift, and equitable climate action. ABOUT THE ROLE The Carbon Project Operations team supports, develops, and manages projects that reduce greenhouse gas emissions an…
Skills: Project Management, Greenhouse Gas Accounting, ISO 14064 Standards, Data Management, Technical Writing
San Francisco, California, United States · On-site
$50/hr–$55/hr
Senior+
Benefits: Company parties Health insurance Opportunity for advancement Required Qualifications • 8+ years of overall IT industry experience. • 5+ years of hands-on experience with Kafka or NoSQL technologies. • Strong pr…
Company Description SquareTrade is the fastest growing company of its kind. We’re revolutionizing a $30b industry with service innovation and attention to customer satisfaction. We partner with some of the largest, most …
Skills: Java, Spring Boot, Kafka, Microservices, TDD
About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by unde…
San Francisco, California, United States · On-site
Mid level
As an Agent Product Manager at Emanate, you’ll shape the AI agents that help companies that are building the backbone of the physical economy to move faster from inbound requests to revenue. You’ll work across customers,…
Join the team bringing advanced autonomy to the built world At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B…
San Francisco, California, United States · On-site
$156k–$212k/yr
Senior$35B raised
The Devices & Services Experience Design (DxD) team leads user experience and industrial design innovation across Amazon's device portfolio, including Echo, Fire TV, Fire Tablets, Alexa.com, and related mobile apps. Our …
Skills: UX Motion Design, After Effects, Figma, Generative AI, Prototyping
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$273k–$345k/yr
Full-time
Medical Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Flexible Spending Account
Posted 40d ago
~40 hrs/week
Responsibilities
Develop and deploy end-to-end multimodal AI models for autonomous transport, focusing on world models and physical actuation. Responsibilities include optimizing models for edge hardware and architecting automated pipelines for processing massive multi-sensor datasets.
Requirements
Requires over 10 years of professional machine learning experience with deep expertise in Transformers, robotics, and spatial-temporal data. Proficiency in PyTorch/JAX and Python/C++ is essential, along with a track record of deploying models to edge devices or managing large-scale data pipelines.
Full job description
Who we are
Atoms is building the machines that power the next era of progress.
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that.
Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
If you want to work on hard problems with real-world impact, join us.
What we’re seeking
A visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. We are actively hiring across three core specialized subcategories: AI Research, Post-Training Optimization, and Data Engineering.
AI Researcher (World Models & VLA)
What you’ll do
Research and develop cutting edge RL and distillation techniques for trajectory planning
Integrate emerging research from the broader AI community, identifying and prototyping the most promising solutions
Design and deploy end-to-end multimodal models that translate real-time visual perception and high-level behavioral goals into physical vehicle actuation
Develop interactive world models from raw multi-sensor logs, allowing the team to re-simulate events and query what a vehicle would see if it altered its trajectory
Ensure core autonomous driving models can seamlessly adapt to novel urban environments and edge cases
Partner with validation and QA teams to run model releases through rigorous simulated scenarios, detecting regressions and identifying systemic performance bottlenecks.
What we’re looking for
10+ years of non-internship professional MLE experience.
Deep expertise in applying AI Transformers to robotics, physical actuation, or spatial-temporal data.
Proven track record designing or training multimodal systems, large-scale VLA models, or generative Diffusion models.
Strong background in Sensor Fusion, combining inputs from Cameras, LiDAR, and Radar.
Fluency in PyTorch or JAX for training large-scale models.
Experience with multi-task learning, Birds-Eye-View (BEV) frameworks, representation learning, or data tokenization is highly preferred.
Proficiency in Python and familiarity with C++.
Post-Training & Optimization
What you’ll do
Own the post-training lifecycle by distilling, quantizing, and optimizing massive models to run with low latency on vehicle edge hardware.
Profile real-time inference pipelines to identify and eliminate CPU, GPU, and memory bandwidth bottlenecks on the vehicle.
Work with low-level hardware, electrical, and firmware teams to iterate on custom carrier boards, sensor interfaces, and GPUs on edge devices.
Benchmark and deploy models utilizing hardware-accelerated runtimes (e.g., TensorRT, CUDA) to minimize inference times under strict constraints.
What we’re looking for
10+ years of non-internship professional MLE experience.
Strong background in machine learning engineering with a focus on model optimization, distillation, and deployment.
Hands-on experience optimizing models for edge deployment or custom embedded GPU targets.
Deep understanding of profiling tools and debugging resource constraints across CPU/GPU boundaries.
Experience with modern deep learning frameworks (PyTorch or JAX) and runtime compilation.
Robust programming skills in Python and C++.
Familiarity with low-level camera/sensor interfaces and robotics hardware is a significant plus.
Data & Long-Tail Scenarios
What you’ll do
Architect automated pipelines to ingest, filter, and identify rare, high-value, and long-tail scenarios out of multi-petabyte multi-sensor datasets.
Target and extract complex structural corner cases from real-world driving logs to continuously feed, challenge, and improve our end-to-end behavior models.
Iterate closely with QA, testing, and simulation teams to transform ambiguous real-world anomalies into concrete data blocks for simulation testing.
Implement programmatic data curation, active learning strategies, and statistical quality metrics to optimize the signal-to-noise ratio of our training pipelines.
What we’re looking for
10+ years of non-internship professional MLE experience.
Professional experience building data curation pipelines, active learning workflows, or data mining architectures for massive physical datasets.
Strong familiarity with robotics data structures and spatial frameworks, including Birds-Eye-View (BEV) or spatial tokenization.
Experience processing and structuring raw data from Cameras, LiDAR, and Radar.
Expert-level proficiency in Python, data engineering frameworks, and PyTorch/JAX.
Exceptional ability to navigate, structure, and derive signal from highly ambiguous, messy, or undefined real-world data distributions.
Why join us
At Atoms, you’ll work on one of the defining challenges of our time - bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow.
What else you need to know
This role is based in our San Franciscooffice. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.
The base salary range for this role is$273,000 - $345,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
All-in-one Restaurant Operating System.
Today, restaurants run on dozens of disconnected systems, POS, delivery apps, kiosks, payments, and ordering platforms that rarely work well together.
Otter is building the operating system that connects them.
Our platform unifies ordering, POS, kiosks, payments, and restaurant operations into a single system used by over 100,000+ restaurants around the world. We integrate with hundreds of platforms and process millions of transactions.
We’re building the technology layer for the future of restaurants.
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