Senior Machine Learning Engineer
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Senior Machine Learning Engineer
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
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
Sr Machine Learning Engineer
Pittsburgh, PA · On-site
$101K - $139K/yr
Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...
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Sr Machine Learning Engineer
Pittsburgh, PA · On-site
$101K - $139K/yr
Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...
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
Principal Machine Learning Engineer Location: Philadelphia, PA (Hybrid - Onsite Tuesdays & Wednesdays) Duration: 6+ Months Contract-to-Hire Employment Type: W2 Work Authorization: Must be authorized ...
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Principal Machine Learning Engineer Location: Philadelphia, PA (Hybrid - Onsite Tuesdays & Wednesdays) Duration: 6+ Months Contract-to-Hire Employment Type: W2 Work Authorization: Must be authorized ...
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 ...
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 ...
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 ...
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 ...
Machine Learning Engineer Quantization information
What does a machine learning engineer quantization do?
A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.
What are some common challenges machine learning engineers face when implementing quantization techniques in production models?
Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.
What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?
To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.
What is the difference between Machine Learning Engineer Quantization vs Data Scientist?
| Aspect | Machine Learning Engineer Quantization | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, ML, or related; certifications in ML or AI | Bachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics |
| Work Environment | Developing optimized ML models, deploying quantized models for efficiency | Analyzing data, building predictive models, interpreting results |
| Industry Usage | Tech companies, AI hardware firms, embedded systems | Finance, healthcare, marketing, research institutions |
Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.
What are popular job titles related to Machine Learning Engineer Quantization jobs in Pennsylvania?
For Machine Learning Engineer Quantization jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Pennsylvania look for?
The top searched job categories for Machine Learning Engineer Quantization jobs in Pennsylvania are:
- Home Based Nvidia Machine Learning
- Sr Machine Learning Engineer
- Contract Machine Learning Testing
- Artificial Intelligence Machine Learning Engineer
- Flexible Machine Learning
- Learning Disability
- Seasonal Medical Imaging Machine Learning
- Weekend Machine Learning
- Contractual Machine Learning Government
- Remote Google Machine Learning Engineer
What cities in Pennsylvania are hiring for Machine Learning Engineer Quantization jobs?
Cities in Pennsylvania with the most Machine Learning Engineer Quantization job openings:
$102K - $140K/yr
Full-time
Re-posted 17 days ago
Job description
CoreResponsibilities
- Design, build, and maintain end-to-end machine learning pipelines from research through production deployment.
- Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
- Develop and maintain feature engineering, feature storage, and data preparation pipelines.
- Automate model deployment, testing, validation, and release processes using CI/CD practices.
- Build batch, real-time, and event-drivenarchitectures.
- Implement model monitoring for performance, drift detection, data quality, and operational health.
- Partner with quantitative researchers and data scientists toproductionalizeresearch models.
- Manage model versioning, lineage tracking, experiment management, and reproducibility.
- Optimize model performance, scalability, reliability, and cloud cost efficiency.
- Establish engineering standards, testing frameworks, and governance controls for ML solutions.
- Support production operations, incident response, and continuous improvement of deployed models.
Required Qualifications:
- Minimum of eight years related work experience, with at least three years of development experience.
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
- Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
- Strong experience building and deploying machine learning solutions in production environments.
- Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn,PyTorch, TensorFlow, or similar).
- Hands-on experience with AWS services, including SageMaker
- Experience building and maintaining machine learning pipelines, feature engineering workflows, and model deployment processes.
- Knowledge ofMLOpspractices, including CI/CD, model versioning, experiment tracking, monitoring, and automated retraining.
- Strong understanding of software development lifecycle practices, testing strategies, and production support.
- Ability to work effectively with researchers, data scientists, and business stakeholders to deliver business outcomes.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
About Vangard
Sourced by ZipRecruiter
Industry
Convention and trade show organizers
Company size
11 - 50 Employees
Headquarters location
Tacoma, WA, US