... audio + text). • Advance multimodal capabilities including spatial-temporal compression, cross ... algorithm co-design, and scaling paradigms for state-of-the-art performance. • Build research ...
... audio + text). • Advance multimodal capabilities including spatial-temporal compression, cross ... algorithm co-design, and scaling paradigms for state-of-the-art performance. • Build research ...
... audio + text). * Advance multimodal capabilities including spatial-temporal compression, cross ... Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling ...
... audio + text). * Advance multimodal capabilities including spatial-temporal compression, cross ... Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling ...
... audio + text). • Advance multimodal capabilities including spatial-temporal compression, cross ... algorithm co-design, and scaling paradigms for state-of-the-art performance. • Build research ...
... audio + text). • Advance multimodal capabilities including spatial-temporal compression, cross ... algorithm co-design, and scaling paradigms for state-of-the-art performance. • Build research ...
... audio + text). • Advance multimodal capabilities including spatial-temporal compression, cross ... algorithm co-design, and scaling paradigms for state-of-the-art performance. • Build research ...
... audio + text). • Advance multimodal capabilities including spatial-temporal compression, cross ... algorithm co-design, and scaling paradigms for state-of-the-art performance. • Build research ...
... non-vision signals such as audio, motion, and sensor data to shape next-generation products ... advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in ...
... non-vision signals such as audio, motion, and sensor data to shape next-generation products ... advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in ...
Youth Orchestra Music Librarian
San Francisco, CA · On-site
$25 - $30/hr
... spatial audio recordings of live concert performances through the app. For its adventurous ... Apprentice(s), SFS musicians who serve as faculty, and other SFS staff on a limited basis. The ...
Youth Orchestra Music Librarian
San Francisco, CA · On-site
$25 - $30/hr
... spatial audio recordings of live concert performances through the app. For its adventurous ... Apprentice(s), SFS musicians who serve as faculty, and other SFS staff on a limited basis. The ...
Youth Orchestra Music Librarian
$25 - $30/hr
... spatial audio recordings of live concert performances through the app. For its adventurous ... Apprentice(s), SFS musicians who serve as faculty, and other SFS staff on a limited basis. The ...
Youth Orchestra Music Librarian
$25 - $30/hr
... spatial audio recordings of live concert performances through the app. For its adventurous ... Apprentice(s), SFS musicians who serve as faculty, and other SFS staff on a limited basis. The ...
Member of Technical Staff - Multimodal Understanding
Palo Alto, CA · On-site
$180K - $440K/yr
... audio + text). * Advance multimodal capabilities including spatial-temporal compression, cross ... Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling ...
Member of Technical Staff - Multimodal Understanding
Palo Alto, CA · On-site
$180K - $440K/yr
... audio + text). * Advance multimodal capabilities including spatial-temporal compression, cross ... Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling ...
Senior Experience Designer
Atlanta, GA · On-site
$98K - $104K/yr
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... Experience with immersive or spatial media, such as immersive audio, immersive video, or ...
Senior Experience Designer
Atlanta, GA · On-site
$98K - $104K/yr
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... Experience with immersive or spatial media, such as immersive audio, immersive video, or ...
Member of Technical Staff - Multimodal Understanding
Palo Alto, CA · On-site
$180K - $440K/yr
... audio + text). * Advance multimodal capabilities including spatial-temporal compression, cross ... Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling ...
Quick apply
Member of Technical Staff - Multimodal Understanding
Palo Alto, CA · On-site
$180K - $440K/yr
... audio + text). * Advance multimodal capabilities including spatial-temporal compression, cross ... Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling ...
Senior Experience Designer
Atlanta, GA · On-site
$98K - $104K/yr
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... Experience with immersive or spatial media, such as immersive audio, immersive video, or ...
Senior Experience Designer
Atlanta, GA · On-site
$98K - $104K/yr
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... Experience with immersive or spatial media, such as immersive audio, immersive video, or ...
... spatial data processing for point cloud analysis, object detection, segmentation, and scene ... audio, and Building Information Models (BIM). • Work closely with the labeling and data ...
... spatial data processing for point cloud analysis, object detection, segmentation, and scene ... audio, and Building Information Models (BIM). • Work closely with the labeling and data ...
Machine Learning Engineer: Multimodal Sensor Fusion
$150K - $277K/yr
... audio, motion, and sensor data to shape next-generation products impacting millions daily. Ready to ... advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in ...
Machine Learning Engineer: Multimodal Sensor Fusion
$150K - $277K/yr
... audio, motion, and sensor data to shape next-generation products impacting millions daily. Ready to ... advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in ...
3D Machine Learning Engineer
Irvine, CA · On-site
Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...
Quick apply
3D Machine Learning Engineer
Irvine, CA · On-site
Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...
3D Machine Learning Engineer
Irvine, CA · On-site
Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...
3D Machine Learning Engineer
Irvine, CA · On-site
Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...
Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...
Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... spatial capture). * Drive projects that enhance image delivery, analysis, rendering, and content ...
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... spatial capture). * Drive projects that enhance image delivery, analysis, rendering, and content ...
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... spatial capture). * Drive projects that enhance image delivery, analysis, rendering, and content ...
... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... spatial capture). * Drive projects that enhance image delivery, analysis, rendering, and content ...
Principal ML Engineer (Robotics)
Boston, MA · On-site
$200K - $275K/yr
... audio, tactile, spatial and temporal understanding powered by physical AI. You will develop ... Design and implement simulation environments and evaluation frameworks for algorithm validation.
Principal ML Engineer (Robotics)
Boston, MA · On-site
$200K - $275K/yr
... audio, tactile, spatial and temporal understanding powered by physical AI. You will develop ... Design and implement simulation environments and evaluation frameworks for algorithm validation.
Principal ML Engineer (Robotics)
$200K - $275K/yr
... audio, tactile, spatial and temporal understanding powered by physical AI. You will develop ... Design and implement simulation environments and evaluation frameworks for algorithm validation.
Principal ML Engineer (Robotics)
$200K - $275K/yr
... audio, tactile, spatial and temporal understanding powered by physical AI. You will develop ... Design and implement simulation environments and evaluation frameworks for algorithm validation.
Apprentice Spatial Audio Algorithms information
See salary details
$12.02 - $14.20
2% of jobs
$14.20 - $16.39
9% of jobs
$18.50 is the 25th percentile. Wages below this are outliers.
$16.39 - $18.58
15% of jobs
$18.58 - $20.76
17% of jobs
The median wage is $21.66 / hr.
$20.76 - $22.95
18% of jobs
$24.58 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.13
19% of jobs
$25.13 - $27.32
10% of jobs
$27.32 - $29.50
4% of jobs
$29.50 - $31.69
2% of jobs
$31.69 - $33.87
1% of jobs
$33.87 - $36.06
3% of jobs
$12
$22
$36
How much do apprentice spatial audio algorithms jobs pay per hour?
As of Jul 11, 2026, the average hourly pay for apprentice spatial audio algorithms in the United States is $22.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.24 per hour, depending on experience, location, and employer.
What cities are hiring for Apprentice Spatial Audio Algorithms jobs? Cities with the most Apprentice Spatial Audio Algorithms job openings:
What are the most commonly searched types of Spatial Audio Algorithms jobs? The most popular types of Spatial Audio Algorithms jobs are:
What states have the most Apprentice Spatial Audio Algorithms jobs? States with the most job openings for Apprentice Spatial Audio Algorithms jobs include:
Full-time
Re-posted 25 days ago
Job description
Job Summary:
xAI is dedicated to creating AI systems that enhance human understanding of the universe. The role involves collaborating with the multimodal team to develop advanced capabilities in multimodal reasoning and real-time interactions across various data types, including image, video, audio, and text.
Responsibilities:
• Design, build, and optimize large-scale distributed systems for multimodal pre-training, post-training, inference, data processing, and tokenization at web/petabyte scale.
• Develop high-throughput pipelines for data acquisition, preprocessing, filtering, generation, decoding, loading, crawling, visualization, and management (images, videos, audio + text).
• Advance multimodal capabilities including spatial-temporal compression, cross-modal alignment, world modeling, reasoning, emergent abilities, audio/image/video understanding & generation, real-time video processing, and noisy data handling.
• Drive data quality and studies: curation (human/synthetic), filtering techniques, analysis, and scalable pipelines to support trillion-parameter models.
• Create evaluation frameworks, internal benchmarks, reward models, and metrics that capture real-world usage, failure modes, interactive dynamics, and human-AI synergy.
• Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling paradigms for state-of-the-art performance.
• Build research tooling, user-friendly interfaces, prototypes/demos, full-stack applications, and enable rapid iteration based on feedback.
• Work across the stack (pre-training → SFT/RL/post-training) to enable reasoning, tool calling, agentic behaviors, orchestration, and seamless real-time interactions.
Qualifications:
Required:
• Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).
• Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA.
• Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design).
• Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data.
• Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors).
• Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers.
• Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences.
Preferred:
• Experience leading major improvements in model capabilities through better data, modeling, algorithms, or scaling.
• Familiarity with state-of-the-art in multimodal LLMs, scaling laws, tokenizers, compression techniques, reasoning, or agentic systems.
• Proficiency in Rust and/or C++ for performance-critical components.
• Hands-on work with large-scale orchestration tools such as Spark, Ray, or Kubernetes.
• Background building full-stack tooling: performant interfaces, real-time research demos/apps, or end-to-end product ownership.
• Passion for end-to-end user experience in interactive, real-time multimodal AI systems.
Company:
xAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
xAI is dedicated to creating AI systems that enhance human understanding of the universe. The role involves collaborating with the multimodal team to develop advanced capabilities in multimodal reasoning and real-time interactions across various data types, including image, video, audio, and text.
Responsibilities:
• Design, build, and optimize large-scale distributed systems for multimodal pre-training, post-training, inference, data processing, and tokenization at web/petabyte scale.
• Develop high-throughput pipelines for data acquisition, preprocessing, filtering, generation, decoding, loading, crawling, visualization, and management (images, videos, audio + text).
• Advance multimodal capabilities including spatial-temporal compression, cross-modal alignment, world modeling, reasoning, emergent abilities, audio/image/video understanding & generation, real-time video processing, and noisy data handling.
• Drive data quality and studies: curation (human/synthetic), filtering techniques, analysis, and scalable pipelines to support trillion-parameter models.
• Create evaluation frameworks, internal benchmarks, reward models, and metrics that capture real-world usage, failure modes, interactive dynamics, and human-AI synergy.
• Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling paradigms for state-of-the-art performance.
• Build research tooling, user-friendly interfaces, prototypes/demos, full-stack applications, and enable rapid iteration based on feedback.
• Work across the stack (pre-training → SFT/RL/post-training) to enable reasoning, tool calling, agentic behaviors, orchestration, and seamless real-time interactions.
Qualifications:
Required:
• Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).
• Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA.
• Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design).
• Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data.
• Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors).
• Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers.
• Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences.
Preferred:
• Experience leading major improvements in model capabilities through better data, modeling, algorithms, or scaling.
• Familiarity with state-of-the-art in multimodal LLMs, scaling laws, tokenizers, compression techniques, reasoning, or agentic systems.
• Proficiency in Rust and/or C++ for performance-critical components.
• Hands-on work with large-scale orchestration tools such as Spark, Ray, or Kubernetes.
• Background building full-stack tooling: performant interfaces, real-time research demos/apps, or end-to-end product ownership.
• Passion for end-to-end user experience in interactive, real-time multimodal AI systems.
Company:
xAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.