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Machine Learning Engineer Biotech Jobs in Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

PayPal, Inc. seeks Machine Learning Engineer in Austin, TX Job Duties: Gather, analyze and implement high-impact statistical models and AI applications in various business functional areas, focusing ...

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Showing results 1-20

Machine Learning Engineer Biotech information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do machine learning engineer biotech jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning engineer biotech in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

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

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Austin, TX? The most popular types of Machine Learning Engineer Biotech jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Engineer Biotech jobs? Cities near Austin, TX with the most Machine Learning Engineer Biotech job openings:
Infographic showing various Machine Learning Engineer Biotech job openings in Austin, TX as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
Machine Learning Engineer

Other

Retirement

Posted 9 days ago


Job description

Machine Learning Engineer (Austin, TX)

Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business.

They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join their team in their fastest growing stages.

Location: Austin, TX

Salary: 140K-190K

Bonus: annual and performance based

401K Match: n/a

Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success.

Position Summary

As a Machine Learning Engineer on the Striveworks Technical Engagements team, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be a key representative and solutions provider to sites and customers where Striveworks' proprietary data platform is deployed.

You will integrate and apply this platform, and rapidly prototype and deliver machine learning capabilities for customers. You'll tackle real world problems as they unfold, utilizing your technical and communication skills to provide reliable and scalable solutions.

At times, you will be tasked with on-site travel to customer locations. At other times, you will be based in Striveworks' Austin, TX headquarters.

Requirements

-Able and willing to travel domestically and internationally up to 10%

-B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience

-Excellence in Python

-Deep expertise in algorithms and data structures

-Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI/CD tools)

-Familiarity with relational and non-relational database design and architecture

-Familiarity with Javascript

Nice To Haves

-Experience with ETL/data pipelines

-Understanding of JavaScript frameworks (React, Vue, or Angular)

-Experience designing RESTful or GraphQL APIs

-Comfortable with Cloud Architecture

-Tensorflow/PyTorch experience

-Knowledge of messaging systems like Kafka, RabbitMQ, or similar

-GoLang/Flyte experience


1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014