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Senior Machine Learning Engineer Biotech Jobs in Texas

Realtor.com Careers

Sr. Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Senior Machine Learning Engineer, you'll take a leading technical role in building the consumer-facing products and backend services that bring these ML capabilities to millions of users. You'll ...

webAI Inc

Senior Machine Learning Engineer

Austin, TX · 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 ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and ...

PayPal

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ... , SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 - The base pay ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$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 ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$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 ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · 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 ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

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All JobsMachine Learning Engineer Biotech JobsSenior Machine Learning Engineer Biotech JobsSenior Machine Learning Engineer Biotech Jobs in Texas

Senior Machine Learning Engineer Biotech information

What is the difference between Senior Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectSenior Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

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What job categories do people searching Senior Machine Learning Engineer Biotech jobs in Texas look for? The top searched job categories for Senior Machine Learning Engineer Biotech jobs in Texas are:
What cities in Texas are hiring for Senior Machine Learning Engineer Biotech jobs? Cities in Texas with the most Senior Machine Learning Engineer Biotech job openings:
Senior Machine Learning Engineer Biotech jobs near you
Infographic showing various Senior Machine Learning Engineer Biotech job openings in Texas as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Sr. Machine Learning Engineer

Realtor.com Careers

Austin, TX • On-site

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
About The Role
The ML Platform team powers all machine learning experiences across Realtor.com® from personalization and recommendations to search ranking, pricing models, and generative AI. As a Senior Machine Learning Engineer, you'll take a leading technical role in building the consumer-facing products and backend services that bring these ML capabilities to millions of users. You'll own the full stack from ML model integration to production APIs, working closely with data scientists, ML engineers, and product teams to ship high-quality, high-impact experiences.
Three Reasons To Apply
  • Build next-gen consumer experiences powered by personalization, recommendations, and GenAI for millions of users
  • Work at the intersection of consumer product engineering and cutting-edge ML owning both the user-facing surface and the ML infrastructure behind it
  • Drive the technical direction of a platform that powers every ML-powered feature across Realtor.com®

What You'll Do
  • Serve as a technical lead for key consumer-facing ML initiatives, owning architecture and design across the full stack - from ML model integration to production APIs and user-facing features
  • Design, build, and expose ML-powered capabilities through GraphQL APIs and federated subgraphs, REST endpoints, and event-driven services consumed by web and mobile clients
  • Design, build, and optimize high-performance recommender systems and personalization features, ensuring relevance, accuracy, and speed for millions of users
  • Build and maintain CI/CD pipelines and MLOps workflows using Metaflow and ArgoCD, ensuring reliable, traceable model deployments to production
  • Develop AI-native and GenAI-powered services - including LLM and RAG-based features - that directly improve the consumer experience
  • Own the design and development of data pipelines and the integration of ML models into production web and mobile applications
  • Drive API design best practices across the team - versioning, schema contracts, backwards compatibility, and cross-team API governance
  • Drive performance optimizations across services, ensuring low latency and high availability at scale
  • Collaborate with cross-functional teams - product, ML, data engineering, frontend, and analytics - to define clear API contracts and translate requirements into scalable technical solutions
  • Mentor and coach engineers on best practices, MLOps principles, GraphQL patterns, and production ML integration
  • Contribute to the long-term technical roadmap, driving innovation and reducing technical debt

What You'll Bring
  • 7+ years of software engineering experience, with specific expertise in building consumer-facing products powered by ML models
  • Strong hands-on experience with GraphQL - including federated GraphQL / schema design, and building subgraphs consumed by web and mobile clients
  • Deep experience designing and building RESTful and event-driven APIs at scale, with a strong grasp of API contracts, versioning, and cross-team API governance
  • Hands-on experience with MLOps tooling - Metaflow, ArgoCD/Argo Workflows, and CI/CD pipelines for ML are required
  • Strong experience with cloud-native architectures on AWS (Lambda, EC2, S3, EKS, or equivalents) and Kubernetes
  • Proficient in designing and implementing data pipelines and integrating machine learning models into production, user-facing applications
  • Proven experience building with LLMs, RAG, and GenAI - shipping these capabilities into consumer products is required, not a plus
  • Strong communication and collaboration skills - able to drive technical alignment across ML, data science, product, frontend, and engineering teams
  • Experience with recommender systems, personalization, or search ranking is a strong plus
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent professional experience.

How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com®, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

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