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 ...
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 ...
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 ...
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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 ...
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 ...
Founding Machine Learning Engineer 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 founding machine learning engineer jobs pay per year?
As of Jul 16, 2026, the average yearly pay for founding machine learning engineer 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 is a Founding Machine Learning Engineer?
A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.
What engineer makes $500,000 a year?
A founding machine learning engineer at top tech companies or successful startups can earn $500,000 or more annually, often including base salary, bonuses, and equity. Such roles typically require advanced skills in deep learning, data modeling, and experience with large-scale systems, along with a strong track record of innovation and leadership.
What are some unique challenges and expectations for a Founding Machine Learning Engineer in an early-stage startup?
As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.
What is a founding ML engineer?
A founding machine learning engineer is a key technical team member involved in building and developing the company's initial machine learning systems and infrastructure. They typically have strong skills in programming, data modeling, and deploying ML models, often working closely with product teams during the startup or early-stage company formation. This role requires a combination of technical expertise and entrepreneurial mindset to shape the company's AI capabilities from the ground up.
Is a machine learning engineer still in demand?
Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.
Which 5 jobs will survive AI?
Founding Machine Learning Engineers are likely to continue playing a crucial role as AI advances, focusing on developing and deploying complex models that require specialized skills in programming, data science, and system architecture. Jobs that involve high levels of creativity, strategic decision-making, and human interaction—such as healthcare professionals, educators, skilled trades, and roles in management—are also expected to persist despite AI automation. These positions typically require emotional intelligence, critical thinking, and adaptability that AI cannot easily replicate.
What are the key skills and qualifications needed to thrive as a Founding Machine Learning Engineer, and why are they important?
To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Philadelphia, PA? For Founding Machine Learning Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Founding Machine Learning Engineer jobs in Philadelphia, PA look for? The top searched job categories for Founding Machine Learning Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Founding Machine Learning Engineer jobs? Cities near Philadelphia, PA with the most Founding Machine Learning Engineer job openings:
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Contractor
Re-posted 18 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