Machine Learning Engineer [w2 role] Location: Philadelphia, PA (Onsite - 4 days/week at 1800 Arch Street) Alternate location: Reston, VA (for strong candidates) Duration: Contract Eligibility: USC ...
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Machine Learning Engineer [w2 role] Location: Philadelphia, PA (Onsite - 4 days/week at 1800 Arch Street) Alternate location: Reston, VA (for strong candidates) Duration: Contract Eligibility: USC ...
AI / Machine Learning Engineer
PA · On-site
AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...
AI / Machine Learning Engineer
PA · On-site
AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...
Overview We're looking for a versatile Machine Learning Engineer to help build and optimize the core infrastructure that supports our AI research. This role involves working across the stack-from ...
Overview We're looking for a versatile Machine Learning Engineer to help build and optimize the core infrastructure that supports our AI research. This role involves working across the stack-from ...
Machine learning Engineer
Pennington, NJ · On-site
$105K - $125K/yr
Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs Deep learning: Neural Networks, CNN/RNN ... Engineering: Data cleaning, handling missing values & outliers Feature scaling, encoding, time ...
Machine learning Engineer
Pennington, NJ · On-site
$105K - $125K/yr
Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs Deep learning: Neural Networks, CNN/RNN ... Engineering: Data cleaning, handling missing values & outliers Feature scaling, encoding, time ...
Machine Learning Engineer
Trenton, NJ · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Trenton, NJ · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Wilmington, DE · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Wilmington, DE · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Machine Learning Engineer (Inference Optimization)
Philadelphia, PA · On-site
$250K - $450K/yr
Machine Learning Engineer - Inference Optimization Overview We are looking for a Machine Learning Engineer focused on low-latency inference optimization to help build, tune, and productionize high ...
Machine Learning Engineer (Inference Optimization)
Philadelphia, PA · On-site
$250K - $450K/yr
Machine Learning Engineer - Inference Optimization Overview We are looking for a Machine Learning Engineer focused on low-latency inference optimization to help build, tune, and productionize high ...
We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role ...
We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role ...
We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role ...
We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role ...
We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role ...
Quick apply
We are looking for a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Establishes engineering practices, reusable frameworks, and platform capabilities that improve ... Applies expertise in machine learning, statistics, optimization, and experimentation methodologies ...
Establishes engineering practices, reusable frameworks, and platform capabilities that improve ... Applies expertise in machine learning, statistics, optimization, and experimentation methodologies ...
Machine Learning Engineer Biotech information
See Philadelphia, PA salary details
$31.8K - $46.6K
1% of jobs
$46.6K - $61.5K
1% of jobs
$61.5K - $76.4K
5% of jobs
$76.4K - $91.2K
6% of jobs
$103.5K is the 25th percentile. Wages below this are outliers.
$91.2K - $106.1K
14% of jobs
$106.1K - $121K
14% of jobs
The median wage is $128.4K / yr.
$121K - $135.8K
18% of jobs
$135.8K - $150.7K
14% of jobs
$153.7K is the 75th percentile. Wages above this are outliers.
$150.7K - $165.5K
12% of jobs
$165.5K - $180.4K
11% of jobs
$180.4K - $195.3K
5% of jobs
$31.8K
$129.9K
$195.3K
How much do machine learning engineer biotech jobs pay per year?
As of Jul 12, 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?
| Aspect | Machine Learning Engineer Biotech | Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models, coding, deploying algorithms in biotech R&D | Analyzes biological data, interprets results, creates reports |
| Employer & Industry Usage | Biotech firms, pharma companies, research labs | Biotech 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 Biomedical Engineer
- Flexible Machine Learning
- Machine Learning Engineer Quantization
- Machine Learning Engineer Associate
- Founding Machine Learning Engineer
- Senior Machine Learning Ops Engineer
- Associate Machine Learning Chemistry
- Patterned Learning Ai
- Contract Apple Machine Learning Engineer
- Llm Training
![Machine Learning Engineer[C2C/W2 ROLE]](https://www.ziprecruiter.com/svc/fotomat/public-nosensitive-ziprecruiter-logos/company/aa16758c.png){kind=small}
Contractor
Posted 13 days ago
Job description
Job Title: Machine Learning Engineer [w2 role]
Location: Philadelphia, PA (Onsite – 4 days/week at 1800 Arch Street)
Alternate location: Reston, VA (for strong candidates)
Duration: Contract
Eligibility: USC, GC
Job Summary
We are seeking a hands-on Machine Learning Engineer with 5+ years of experience who can design, build, and deploy scalable machine learning solutions. This role requires strong coding expertise and real-world experience delivering models into production environments. The ideal candidate is not a manager but an individual contributor who thrives in a fast-paced, engineering-focused environment.
Key Responsibilities
- Model Development: Design, build, train, and fine-tune machine learning and deep learning models for real-world use cases
- Production Deployment: Deploy, monitor, and maintain ML models in production environments
- Data Pipeline Development: Build and optimize scalable data pipelines for ingestion, transformation, and processing
- Performance Optimization: Evaluate models using metrics like accuracy, recall, and AUC; optimize for performance and scalability
- Collaboration: Work closely with cross-functional teams including data engineers, software engineers, and business stakeholders
Required Skills & Qualifications
- 5+ years of experience as a Machine Learning Engineer or similar role
- Strong Python programming skills with solid software engineering fundamentals
- Recent and hands-on experience with PySpark (mandatory)
- Experience with machine learning frameworks such as Scikit-learn
- Strong understanding of statistics, probability, and algorithms
- Experience working with SQL, data modeling, and large datasets
- Proven track record of deploying ML models into production environments
- Experience with AWS services
Preferred Qualifications
- Experience with MLOps tools such as Docker for model deployment
- Hands-on experience with local Large Language Models (LLMs)
- Familiarity with distributed computing and big data technologies
Interview Process
Round 1 (30 mins – Virtual)
- Experience overview
- Technical discussion
- Live coding exercise (Video ON + full desktop screen sharing required)
Round 2 (60 mins – In-Person Preferred)
- Technical deep dive
- Advanced live coding exercise
Work Environment
- 4 days onsite preferred (Philadelphia office)
- Open to relocation candidates
- Reston, VA location may be considered if needed
About Smart-iPlace
Sourced by ZipRecruiter
SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Irving, TX, US
Year founded
2021