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Machine Learning Engineer Biotech Jobs in Philadelphia, PA

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Machine Learning Engineer

Philadelphia, PA

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 ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Philadelphia, PA

Machine Learning Engineer Biotech information

See Philadelphia, PA salary details

$31.8K

$129.9K

$195.3K

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

As of Jun 14, 2026, the average yearly pay for machine learning engineer biotech in Philadelphia, PA is $129,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 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 Philadelphia, PA? The most popular types of Machine Learning Engineer Biotech jobs in Philadelphia, PA are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in Philadelphia, PA? For Machine Learning Engineer Biotech jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Philadelphia, PA look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Philadelphia, PA are:
Machine Learning Engineer Biotech jobs near you

Machine Learning Engineer

Guru Schools

Philadelphia, PA • Hybrid

Other

Posted 12 days ago

Job description

Overview:
Machine Learning Engineer
Philadelphia, PA OR Washington, DC | Hybrid: 3-4 days/week
9 + Months
Role:
Design and validate ML models that support engineering tooling teams.
Enhance existing AIML automation tools (e.g., Speech data), implement LLM prompt interactions, and use LLMs to test LLMs - with a strong focus on product quality.
Key Responsibilities:
Build & enhance ML/AI models for validation and automation
Implement prompt-based LLM interactions
Collaborate across tooling squads and cross-functional teams
Contribute to POC development in AI/ML & Computer Vision
Requirements:
4+ years overall experience
1+ year hands-on ML model experience
Strong quality-focused mindset with LLM expertise
NLP, data engineering & model deployment experience
Tech Used:
GPT, LLMs, NLP, internet-developed tools
Interview Process:
2 Rounds
Skills:
Design and validate ML models that support engineering tooling teams. Enhance existing AIML automation tools (e.g., Speech data), implement LLM prompt interactions, and use LLMs to test LLMs

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