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Probabilistic Modeling Jobs in Austin, TX (NOW HIRING)

Seekr

Senior Manual QA Engineer

Austin, TX · On-site

... Model Context Protocol) integrations - connecting QA tooling (TestRail, JIRA) with AI assistants * Comfort operating in AI-augmented workflows where outputs are non-deterministic, probabilistic, or ...

Varsity Tutors

Genetics Tutor

Round Rock, TX · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Varsity Tutors

Genetics Tutor

Austin, TX · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Varsity Tutors

Genetics Tutor

San Marcos, TX · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus Minimum ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus Minimum ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus Minimum ...

Aalo Atomics

Licensing Engineer

Austin, TX · On-site

$120 - $180/hr

Integrate Probabilistic Risk Assessment (PRA) models and insights into LBE selection, design decisions, and safety cases. * Regulatory Submissions & Stakeholder Interaction - Prepare, review, and ...

Deloitte

System Test and Validation Lead

Austin, TX · On-site +1

Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Aalo Atomics

Licensing Engineer

Austin, TX · On-site

Integrate Probabilistic Risk Assessment (PRA) models and insights into LBE selection, design decisions, and safety cases. * Regulatory Submissions & Stakeholder Interaction * * Prepare, review, and ...

Deloitte

System Test and Validation Lead

Austin, TX · On-site +1

Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Deloitte

System Test and Validation Lead

Austin, TX · On-site +1

Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

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Probabilistic Modeling information

What is probabilistic modeling?

Probabilistic modeling is a mathematical framework used to represent uncertain events or data by using probability distributions. Instead of giving a single outcome, it accounts for variability and randomness, allowing predictions and inferences even when information is incomplete or ambiguous. Probabilistic models are widely used in fields like statistics, machine learning, finance, and engineering to analyze data, make forecasts, and support decision-making under uncertainty.

What are the key skills and qualifications needed to thrive as a probabilistic modeler, and why are they important?

To thrive as a Probabilistic Modeler, you need a strong background in mathematics, statistics, and probability theory, often supported by a degree in applied mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, and experience with statistical modeling tools and software such as TensorFlow or PyMC, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex models into actionable insights. These skills are vital for designing accurate models, interpreting uncertainty, and supporting data-driven decisions across various industries.

What are some common challenges faced by professionals in probabilistic modeling roles, and how can they be managed?

Professionals in probabilistic modeling often encounter challenges such as working with incomplete or noisy data, choosing the right model complexity, and ensuring model interpretability for stakeholders. Managing these challenges involves strong statistical knowledge, regular collaboration with domain experts, and effective communication to translate complex results for non-technical team members. Staying up-to-date with the latest tools and methodologies, and participating in peer reviews, can also help maintain model accuracy and reliability.

What is the difference between Probabilistic Modeling vs Data Scientist?

AspectProbabilistic ModelingData Scientist
Required CredentialsDegree in statistics, mathematics, or related fields; knowledge of probability theoryDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentResearch-focused, often in analytics or data science teamsCross-functional teams, including business, engineering, and analytics
Industry UsageUsed in analytics, finance, healthcare, and research for modeling uncertaintyApplied across industries for data analysis, predictive modeling, and decision-making

Probabilistic Modeling focuses on developing models based on probability theory to understand uncertainty, while Data Scientists utilize a broader set of skills including programming, data analysis, and machine learning to extract insights from data. Both roles often overlap but serve different primary purposes within data-driven organizations.

What are popular job titles related to Probabilistic Modeling jobs in Austin, TX?

For Probabilistic Modeling jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Probabilistic Modeling jobs in Austin, TX look for?

The top searched job categories for Probabilistic Modeling jobs in Austin, TX are:

What cities near Austin, TX are hiring for Probabilistic Modeling jobs?

Cities near Austin, TX with the most Probabilistic Modeling job openings:

Probabilistic Modeling jobs near you

Senior Manual QA Engineer

Seekr

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About the Opportunity
Seekr builds trust into every stage of the AI lifecycle - providing a complete platform to build, train, validate, securely deploy, and monitor transparent generative AI applications and agents. We're hiring a Senior Manual QA Engineer to partner with our Manual QA Lead and raise the quality bar across Seekr's entire product suite.
You will be a force multiplier in mentoring junior engineers, championing AI-augmented QA workflows including Claude AI and MCP integrations, and driving quality outcomes with minimal direction. You'll work directly with modern agentic tooling from day one and be expected to lead its adoption within the QA practice.
Key Responsibilities
  • Test strategy & execution: Design and execute functional test cases, suites, and plans for UI and API surfaces in TestRail (incl. MCP + Claude AI integration); lead test plan reviews and peer approvals for junior engineers
  • AI tooling & MCP integration: Use Claude AI and MCP server integrations daily for test case generation, defect analysis, and knowledge base contributions; evaluate and validate AI-generated and agentic workflow outputs
  • Regression & release ownership: Co-own regression strategy and end-to-end release validation cycles with the Manual QA Lead; drive release readiness tracking and milestone reporting
  • API & technical testing: Perform advanced manual API testing; build and maintain Postman collections; apply boundary analysis, equivalence partitioning, exploratory testing, and risk-based coverage
  • Defect management & comms: Triage and log defects in JIRA with executive-ready clarity; proactively flag risks with context and recommended actions via Slack and email
  • Requirements analysis: Analyze requirements for ambiguity and testability; contribute to SDLC and systems integration process improvements across the engineering org

Skills and Qualifications
  • 5+ years as a Software QA / Test Engineer with a strong, demonstrable focus on manual testing
  • Expert-level proficiency designing and executing test cases, suites, and plans for UI and API layers
  • Deep familiarity with TestRail (or equivalent TCM) and Postman; prior TestRail MCP server integration exposure is a strong plus
  • Strong QA foundations: equivalence partitioning, boundary value analysis, exploratory testing, risk-based testing, root cause analysis
  • Proven experience mentoring or coaching junior QA engineers - formally or informally
  • Demonstrated ability to set standards, model best practices, and elevate team output through direct example
  • Hands-on experience with Claude AI (claude.ai or API) as a productivity tool in a QA or software development context
  • Working knowledge of MCP (Model Context Protocol) integrations - connecting QA tooling (TestRail, JIRA) with AI assistants
  • Comfort operating in AI-augmented workflows where outputs are non-deterministic, probabilistic, or agent-driven
  • Strong SDLC knowledge - Agile and Waterfall environments
  • Must reside near Austin, TX or Reston, VA and be available 3 days/week in office

Bonus Points
  • Experience testing AI/ML systems, LLM-powered products, or generative AI platforms - especially non-deterministic or agentic outputs
  • Familiarity with Claude Code, agentic AI orchestration frameworks, or next-gen developer tooling
  • Experience testing SDK-based tools or consuming APIs in code
  • Elementary Python scripting - reading/writing basic test scripts or automation helpers
  • Prior formal or informal QA lead or senior contributor experience with ownership of team standards or onboarding
  • Bachelor's degree in Computer Science or equivalent practical experience

About the Company:
Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society's most sensitive and vital systems. Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. We are a team of strategic thinkers and problem-solvers tackling the toughest challenges facing critical infrastructure and global enterprises through best-in-class AI models and customer deployment. Our team operates with unwavering commitment to our core values and mission:
  • We are driven by outcomes-our customers' success is what we strive for every day.
  • We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.
  • We take our responsibility to deliver secure AI seriously.
  • We believe innovation drives progress-we are building the technologies that power the systems our society depends on.

Company Benefits:
  • Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
  • Equity Ownership - RSUs that let you share directly in Seekr's long-term success and growth.
  • Time Off That Respects Real Life - Unlimited PTO plus 14 paid company holidays to truly recharge.
  • Work Your Way - A flexible hybrid work environment with offices in Reston, VA and Austin, TX.
  • Competitive Total Rewards - A role-appropriate compensation structure that supports long-term growth, including base salary, bonuses, or commission plans depending on role.
  • 401(k) with Company Match - Build your future with a retirement plan that includes employer matching.
  • Comprehensive Health & Wellness - Medical, dental, vision, and life insurance coverage starting day one-for you and your family.
  • Parental Leave - Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

Important Notice:
To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.
Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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