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Dwarfs Jobs (NOW HIRING)

... M dwarfs and/or the high-precision RV survey of solar-type stars being conducted with the NEID instrument on the WIYN 3.5m telescope; (2) improving technology, algorithms, and data analysis to ...

AI Product Engineer

New York, NY · On-site

$175K - $300K/yr

That means we're chasing the legal services market ($1T), which dwarfs the global legal tech market ($40b). The problem is hard. An engine of agents sits underneath every matter we touch, connected ...

GTM Engineer

New York, NY · On-site

$140K - $220K/yr

That means we're chasing the legal services market ($1T), which dwarfs the global legal tech market ($40b). The problem is hard. An engine of agents sits underneath every matter we touch, connected ...

Founding Designer

New York, NY · On-site

$135K - $200K/yr

That means we're chasing the legal services market ($1T), which dwarfs the global legal tech market ($40b). The problem is hard. An engine of agents sits underneath every matter we touch, connected ...

Forward Deployed Engineer

New York, NY · On-site

$175K - $300K/yr

That means we're chasing the legal services market ($1T), which dwarfs the global legal tech market ($40b). The problem is hard. An engine of agents sits underneath every matter we touch, connected ...

Dwarfs information

What is the difference between Dwarfs vs Miners?

AspectDwarfsMiners
Required CredentialsVaries; often folklore-based or fictional rolesMining certifications, safety training
Work EnvironmentFictional or entertainment settingsUnderground or surface mining sites
Industry UsageEntertainment, folklore, fantasyNatural resources extraction

In summary, Dwarfs are typically fictional characters from folklore and fantasy settings, whereas Miners are real professionals working in the mining industry with specific certifications and safety requirements. The two roles differ significantly in credentials, environment, and industry context.

More about Dwarfs jobs

What cities are hiring for Dwarfs jobs?

Cities with the most Dwarfs job openings:

What states have the most Dwarfs jobs?

States with the most job openings for Dwarfs jobs include:

Infographic showing various Dwarfs job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Physical job distribution.

Member of Technical Staff - ML Research, Multimodal

Causal Labs

San Francisco, CA • On-site

Full-time

Re-posted 10 days ago


Job description

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.
Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
We look for researchers who are excited to tackle unsolved problems. Predicting how physical systems evolve means learning from observations that language and vision models were not built for - sparse sensors, point clouds, hyperspectral imagery, physical fields - at a scale that dwarfs what is used to train even today's frontier LLMs. Your mission is to design the architectures and training recipes that turn these multimodal observations into a model that predicts the future of the physical world.
Responsibilities
  • Design and implement novel model architectures and training algorithms for learning from massive, multimodal physical data
  • Solve core modeling problems unique to physical prediction: encoding heterogeneous and irregularly-sampled modalities, stable long-horizon rollouts, and probabilistic forecasting
  • Run experiments and ablations that connect modeling and data decisions to predictive skill, including which data sources and mixtures most improve the model
  • Work across the full ML stack - data, model, eval, and infrastructure - to take ideas from prototype to scaled training runs
  • Stay up-to-date on research to bring new ideas to work

What we're looking for
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
  • Strong grasp of machine learning fundamentals, with depth in at least one relevant domain (e.g. sequence or world models, computer vision, sensor fusion, generative modeling, physics-informed NNs)
  • Experience training large-scale models and the ability to understand experimental results through careful analysis and ablation studies
  • Familiarity with distributed training and the systems considerations of scaling models
  • A track record of turning open-ended research problems into production models