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Internship Bad Robot Productions Jobs (NOW HIRING)

Forum Ventures LLC

Robotics Middleware Founder

Boston, NY · On-site +1

$250K/yr

Developers building production robotics hit the same wall on every deployment. Low-level sensor ... Bad perception. Bad decisions. Robots that fail in the field. The opportunity: Become the sensor ...

Blackhornvc

2026 Internship

San Francisco, CA · On-site

$19.75 - $25.50/hr

... production. About the role: As an Intern at Formic, you will support robotics deployments and operational execution while gaining hands‑on exposure to real-world automation systems. You will work ...

Formic

2026 Internship

Chicago, IL · On-site

$17.25 - $22.50/hr

... production. About the role: As an Intern at Formic, you will support robotics deployments and operational execution while gaining hands-on exposure to real-world automation systems. You will work ...

Formic

2026 Internship

Joliet, IL · On-site

$17 - $22/hr

... production. About the role: As an Intern at Formic, you will support robotics deployments and operational execution while gaining hands-on exposure to real-world automation systems. You will work ...

Formic

2026 Internship

Oswego, IL · On-site

$16 - $20.75/hr

... production. About the role: As an Intern at Formic, you will support robotics deployments and operational execution while gaining hands-on exposure to real-world automation systems. You will work ...

Formic

2026 Internship

Naperville, IL · On-site

$16.75 - $21.75/hr

... production. About the role: As an Intern at Formic, you will support robotics deployments and operational execution while gaining hands-on exposure to real-world automation systems. You will work ...

Formic

2026 Internship

Oakland, CA · On-site

$19.25 - $25/hr

... production. About the role: As an Intern at Formic, you will support robotics deployments and operational execution while gaining hands-on exposure to real-world automation systems. You will work ...

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How much do internship bad robot productions jobs pay per month?

As of Sep 13, 2026, the average monthly pay for internship bad robot productions in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What is an internship at Bad Robot Productions?

An internship at Bad Robot Productions is a temporary, entry-level position designed to provide students or recent graduates with hands-on experience in the entertainment industry. Interns work across various departments like production, development, post-production, and administration, supporting the company's projects and daily operations. The program offers valuable exposure to the filmmaking process, networking opportunities, and insights into the workings of a major production company. Internships at Bad Robot are highly competitive and can serve as a stepping stone for a career in film and television.

What types of projects and tasks can interns expect to work on during their internship at Bad Robot Productions?

Interns at Bad Robot Productions typically have the opportunity to assist with a variety of tasks, including script coverage, research, administrative support, and participation in creative meetings. The environment is fast-paced and collaborative, allowing interns to work closely with experienced professionals across departments such as development, production, and post-production. This hands-on exposure not only provides valuable industry insight but also helps interns build practical skills relevant to television and film production. Interns are encouraged to ask questions and contribute ideas, fostering both learning and professional growth.

What are the key skills and qualifications needed to thrive as an intern at Bad Robot Productions, and why are they important?

To thrive as an intern at Bad Robot Productions, you typically need a strong interest in film and television production, excellent organizational skills, and relevant academic coursework or experience. Familiarity with industry-standard software like Final Draft, Adobe Creative Suite, and basic office tools is often advantageous. Outstanding communication, initiative, and a collaborative attitude help interns stand out in this creative, fast-paced environment. These skills and qualities are essential for effectively supporting production teams, learning quickly, and contributing to high-quality entertainment projects.

What is the difference between Internship Bad Robot Productions vs Production Assistant?

AspectInternship Bad Robot ProductionsProduction Assistant
CredentialsTypically students or recent graduates, no formal certification requiredOften requires some experience or related coursework, no formal certification
Work EnvironmentInternship setting, learning-focused, part-time or temporaryFull-time, on-set or office environment, hands-on role
Industry UsageCommon for entry-level learning opportunities in film/TV productionStandard entry-level role in film/TV production teams

In summary, Internship Bad Robot Productions is a learning opportunity for students or recent graduates, focusing on gaining industry knowledge, while a Production Assistant is a full-time role requiring some experience, responsible for supporting various production tasks on set or in the office.

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Internship Bad Robot Productions jobs near you
Infographic showing various Internship Bad Robot Productions job openings in the United States as of September 2026, with employment types broken down into 16% Internship, 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

ML Research Engineer, Data San Francisco, CA · On-site

San Francisco, CA • On-site

Weave Robotics, Inc.
See more jobs at Weave Robotics, Inc.external

$134K - $162K/yr

Other

Posted 13 days ago

Job description

Weave was founded to build the robots we’d want to have in our own home. We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time to spend on what’s important.

We also believe robots are in a sense like any other product: to matter, they have to ship. Our robots are already operating in real homes and businesses, giving us the opportunity to rapidly improve from real-world experience. With a growing team, strong customer demand, and capital for expansion, we’re entering an exciting stage of growth—and we’re looking for people with exceptional talent and standards to help bring home robotics to millions of households.

The Role

Most robot learning research is graded on evals that don't survive contact with the field. Ours is graded by robots doing useful work in real homes and businesses, every day. Our fleet generates robot data at terabyte scale that’s ingested by training runs every week. Our models are only as good as what we feed them, and you’ll architect and build the pipeline that drives their behavior.

You'll turn raw fleet data (video, proprioception, actions, sensor streams) into the datasets our models train on, and follow that data into the training loop: sampling ratios, data mixes, and curricula are decisions you'll shape with the research team. The job is equal parts data engineering and data understanding: build the platform that processes millions of episodes and feeds them to training, and know the data well enough to say what correlates with good and bad model behavior.

Responsibilities

Know the data: characterize coverage, redundancy, and drift: spectral analysis on time-series, distributional statistics, clustering over embeddings.

Find the needles: dig bad data out of terabytes of episodes: bad trajectories, bad annotations, dropped frames, desynced streams, then automate the catch so it never gets through again.

Build the data lifecycle: curation, preprocessing, annotation, augmentation, versioning, and the training-ingest formats and loaders that serve it at full throughput.

Use models as instruments: embedding search to mine scenarios, model loss and disagreement as quality signals, VLM-assisted filtering and labeling.

Improve models through data: partner with researchers on model failures, then build the datasets, processing steps and samplers that target specific capabilities and failure modes, and own the sampling and mixture decisions that go into each run.

Build the eval datasets and benchmarks that measure performance across tasks, environments, embodiments, and model versions.

What you'll bring

Data engineering at scale: pipelines over terabytes, object stores (S3, GCS), distributed storage, and indexing.

Training ingest: high-throughput formats and dataloaders.

Working ML experience: you can launch a fine-tune, read a loss curve, and design an ablation to test a data hypothesis.

Analytical range: signal processing and statistics on real sensor data, and unsupervised structure-finding (PCA, UMAP, clustering) when the labels don't exist yet.

Data debugging: you can trace a problem from sensor drift through a corrupted episode to a pipeline failure.

Strong Python and software engineering fundamentals. C++ is a plus.

Nice to have

Batch processing at scale: Ray, Spark, or Dask over terabytes, with cost and throughput judgment.

Training ingest: formats and dataloaders that keep GPU clusters fed.

Workflow orchestration in production: Airflow, Kubeflow, or similar, with retries and monitoring.

Robotics data pitfalls: timestamps, clock domains, and sensor modality quirks.

Robot learning exposure: you’ve trained policies (VLAs, world models, RL) and can tell a data problem from a model problem.

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