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Senior Machine Learning Finance Jobs in Austin, TX

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. You ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$140 - $200/hr

About the Role We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

Machine Learning Engineer

Austin, TX ยท On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... Our mission is simple: build strong and diverse communities through innovative financial technology ...

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Showing results 21-40

Senior Machine Learning Finance information

See Austin, TX salary details

$51.5K

$126.4K

$174.5K

How much do senior machine learning finance jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior machine learning finance in Austin, TX is $126,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $147,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Finance vs Quantitative Analyst?

AspectSenior Machine Learning FinanceQuantitative Analyst
Required CredentialsAdvanced degrees in CS, Data Science, or Finance; experience with ML frameworksDegrees in Finance, Economics, or Mathematics; strong statistical background
Work EnvironmentTech-driven finance teams, focus on ML model developmentTrading floors, investment firms, focus on quantitative modeling
Industry UsageFinancial institutions leveraging AI/ML for trading, risk, and asset managementAsset management, hedge funds, investment banks

While both roles involve quantitative skills, Senior Machine Learning Finance focuses on developing and deploying machine learning models within finance, whereas Quantitative Analysts primarily build statistical models for trading and risk assessment. The former emphasizes AI/ML expertise, while the latter centers on traditional quantitative methods.

What are the most commonly searched types of Machine Learning Finance jobs in Austin, TX?

The most popular types of Machine Learning Finance jobs in Austin, TX are:

Senior Machine Learning Engineer

webAI Inc

Austin, TX โ€ข On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Special Notice:
This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI.
About the Role:
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments.
You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments.
Responsibilities:
  • Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
  • Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
  • Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
  • Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
  • Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
  • Work with multi-modal AI systems across computer vision, audio, and natural language domains.
  • Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions.

Qualifications:
  • Active US Security clearance
  • 4+ years of experience in applied AI, ML engineering, or production AI systems.
  • Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
  • Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
  • Expertise in model compression and optimization (quantization, pruning, distillation).
  • Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone).
  • Familiarity with multi-modal models and synthetic data generation methods.
  • Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments.

Preferred Skills:
  • Experience with edge AI, federated learning, or offline inference systems.
  • Understanding of AI governance and compliance frameworks relevant to public sector deployments.
  • Experience integrating models into large scale distributed systems or microservice architectures.
  • Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.
  • Strong understanding of GPU computing, CUDA, and performance profiling.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match (U.S.-based employees only)
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription (U.S.-based employees only)
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.