This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe ...
This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe ...
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ... FFmpeg, GStreamer, OBS Studio, VLC, x264, x265, WebRTC, RTP/RTCP streaming, or VoIP products ...
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ... FFmpeg, GStreamer, OBS Studio, VLC, x264, x265, WebRTC, RTP/RTCP streaming, or VoIP products ...
Internship Ffmpeg information
See salary details
$13.46 - $15.76
5% of jobs
$15.76 - $18.05
7% of jobs
$20.30 is the 25th percentile. Wages below this are outliers.
$18.05 - $20.35
13% of jobs
$20.35 - $22.64
9% of jobs
The median wage is $24.49 / hr.
$22.64 - $24.93
19% of jobs
$24.93 - $27.23
18% of jobs
$27.80 is the 75th percentile. Wages above this are outliers.
$27.23 - $29.52
14% of jobs
$29.52 - $31.82
7% of jobs
$31.82 - $34.11
4% of jobs
$34.11 - $36.41
0% of jobs
$36.41 - $38.70
3% of jobs
$13
$25
$38
How much do internship ffmpeg jobs pay per hour?
As of Jun 29, 2026, the average hourly pay for internship ffmpeg in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.
What is the difference between Internship Ffmpeg vs Junior Multimedia Developer?
| Aspect | Internship Ffmpeg | Junior Multimedia Developer |
|---|---|---|
| Required Skills | Basic knowledge of Ffmpeg, multimedia processing | Proficiency in multimedia tools, programming, Ffmpeg experience |
| Work Environment | Internship setting, learning-focused | Full-time or part-time employment, project-based |
| Industry Usage | Used for learning multimedia processing, testing | Developing multimedia applications, editing, encoding |
Internship Ffmpeg typically involves learning and assisting with multimedia processing tasks using Ffmpeg, often in a temporary or training role. A Junior Multimedia Developer, however, is a full-time role requiring more advanced skills in multimedia development, including Ffmpeg, and involves creating and maintaining multimedia applications. Both roles may overlap in skills but differ significantly in experience level and responsibilities.
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What states have the most Internship Ffmpeg jobs? States with the most job openings for Internship Ffmpeg jobs include:
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Full-time
Posted 14 days ago
Job description
Robotics Data Pipeline Intern - Multimodal Data
About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data. We're moving beyond basic teleoperation to leverage massive datasets of in-the-wild egocentric video combined with dense sensor streams (IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious, technically sharp intern to roll up their sleeves and help us turn raw, unstructured multimodal data into high-fidelity training assets for our robots.
The Role As a Data Pipeline Intern, you'll work directly alongside our data and robotics engineering teams to support the infrastructure that feeds our foundation models. You'll get hands-on experience with real multimodal data challenges, from sensor stream processing and video pipeline optimization to force analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real code.
What You'll Work On
What We're Looking For
Bonus Points
About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data. We're moving beyond basic teleoperation to leverage massive datasets of in-the-wild egocentric video combined with dense sensor streams (IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious, technically sharp intern to roll up their sleeves and help us turn raw, unstructured multimodal data into high-fidelity training assets for our robots.
The Role As a Data Pipeline Intern, you'll work directly alongside our data and robotics engineering teams to support the infrastructure that feeds our foundation models. You'll get hands-on experience with real multimodal data challenges, from sensor stream processing and video pipeline optimization to force analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real code.
What You'll Work On
- Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU, force-torque, tactile, proprioception)
- Owning post-processing algorithms for force analysis and hidden state inference, including contact force estimation, occlusion handling, and inverse kinematics gap-filling
- Bridging kinematic retargeting work that translates human hand tracking into humanoid end-effector coordinates
- Optimizing and testing data augmentation strategies (spatial, temporal, synthetic viewpoints, sensor noise injection)
- Tying together work across our Hardware Teleoperation Team to help align human-robot play-data across modalities
What We're Looking For
- Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field
- Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets
- Coursework or project experience with computer vision, time-series data, or sensor processing
- Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe) is a plus
- Awareness of imitation learning, VLA architectures, or human-to-robot transfer concepts is a plus, but genuine curiosity counts for a lot here
Bonus Points
- Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T)
- Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo)
- Any project work involving synthetic data generation or tactile/spatial data representations