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Contract Audio Machine Learning Jobs in Texas (NOW HIRING)

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

... audio, and images. Relational databases and NoSQL databases, such as Apache Hadoop, Apache Spark ... Experience with machine learning algorithms and automated machine learning to automate and build ...

... audio data, machine learning, and designing scalable systems. Our area of work is to enable fast ... contract * Legal authorization to work in the U.S. indefinitely is required. Employer work permit ...

Sr. Computer Vision Engineer

Austin, TX

$103.60K - $142.20K/yr

Design and implement machine learning models that can operate in resource-constrained environments ... We specialize in recruiting skilled individuals for both full-time direct hires and contract ...

... audio, world-class workouts and meditations, super fun games and more! The Services Data Science ... Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science ...

Contract Experience Required: 8-10+ Years Position Overview We are seeking experienced Data Scientists to design, develop, and deploy advanced analytics and machine learning solutions that drive data ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Design and implement machine learning models that can operate in resource-constrained environments ... We specialize in recruiting skilled individuals for both full-time direct hires and contract ...

Machine Learning Engineer - Data and AI

Plano, TX

$110.10K - $132.20K/yr

S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year-in contract, contract-for-hire, and ...

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Contract Audio Machine Learning information

What is the difference between Contract Audio Machine Learning vs Contract Data Scientist?

AspectContract Audio Machine LearningContract Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentFocus on audio data, signal processing, and machine learning modelsBroader data analysis, statistical modeling, and data visualization
Industry UsageMedia, entertainment, speech recognition, audio analysisFinance, healthcare, marketing, and various industries requiring data insights

Contract Audio Machine Learning specialists focus on developing models specifically for audio data, while Contract Data Scientists handle a wider range of data types and analysis tasks. Both roles require strong technical skills, but their focus areas and industry applications differ.

What are the most commonly searched types of Audio Machine Learning jobs in Texas? The most popular types of Audio Machine Learning jobs in Texas are:
What cities in Texas are hiring for Contract Audio Machine Learning jobs? Cities in Texas with the most Contract Audio Machine Learning job openings:
Infographic showing various Contract Audio Machine Learning job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 63% Physical, and 37% Remote job distribution.
Compiler Engineer - Machine Learning Compiler

Compiler Engineer - Machine Learning Compiler

Mythic

Austin, TX

Full-time

Posted 29 days ago


Job description

About us

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

About the role

Join us in building the next generation of AI compilers. You'll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware-defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.
Here's what you will do
  • Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
  • Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
  • Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
  • Develop compilation strategies that unify our analog compute with digital subsystems
  • Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Here's the background we hope you will have
  • 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
  • Expert in modern C++ (C++14/17/20) and strong Python.
  • Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
  • Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
The following would be nice to have, but is not required
  • Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
  • Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
  • Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
  • Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
  • Experience collaborating in compiler-hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
What we offer
  • The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware.
  • A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
  • Competitive compensation, equity, and benefits package
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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