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Remote Machine Learning Engineer Biotech Jobs in Dallas, TX

Capital One

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98.10K - $129.20K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Apolis

Python/Machine Learning Developer

Dallas, TX · Remote

$50 - $68.75/hr

Remote Duration: 7+ Months Only W2 We are seeking a Python/Machine Learning Developer to design, build, and deploy machine learning models and algorithms. The ideal candidate will have strong ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX · Remote

$94.30K - $129.50K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX · Remote

$94.30K - $129.50K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

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$31.2K

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

As of May 28, 2026, the average yearly pay for remote machine learning engineer biotech in Dallas, TX is $127,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
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Remote Machine Learning Engineer Biotech jobs near you

Machine Learning Engineer (W2 Only)

Diligent Tec, Inc

Dallas, TX • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join to apply for the Machine Learning Engineer (W2 Only) role at Diligent Tec, Inc . We are hiring 2 Machine Learning Engineers to join a fast‐growing applied research team working on large‐scale advertising and e‐commerce platforms. Title Machine Learning Engineer (W2 Only) Location Toronto, Canada (Remote) & US (Remote) Employment Type Long Term Contract – W2 Only Experience 10+ Years Eligibility Candidates located in USA and Canada only.

Key Skills Python, SQL, Scala or Java PyTorch, Hugging Face Transformers, Deep Learning Spark / Hadoop, MLOps Responsibilities Design and build scalable ML/DL services; work with massive datasets; deploy production‐grade models; collaborate closely with researchers and engineers to drive real business impact in advertising technology. Strong communication skills and active participation in stand‐ups and team discussions are essential. Referrals increase your chances of interviewing at Diligent Tec, Inc by 2x.

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