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Senior Embedded Machine Learning Jobs in Albany, NY

Momentive

Associate Data Engineer

Niskayuna, NY

$64K - $95K/yr

Explore opportunities to apply advanced analytics techniques, including AI, Machine Learning, and Data Modeling, with mentorship from senior engineers. Qualifications: The following are required for ...

Posted today

Crane Stationery

Thermo Press Operator

Latham, NY · On-site

$18.50/hr

... learning the craft of printing. No previous machine experience is needed as you will be trained by ... senior operators to solve production challenges · Use work metrics to track production and labor ...

E Tech Group

Senior IT/OT Network Engineer

Albany, NY · On-site

$103K - $141K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, thin ...

E Tech Group

Senior IT/OT Network Engineer

Albany, NY · On-site

$103K - $141K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, thin ...

E Tech Group

Senior Automation Engineer

Albany, NY · On-site

$103K - $135K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies * Knowledge ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems ...

E Tech Group

Senior Automation Engineer

Albany, NY · On-site

$103K - $135K/yr

Detail oriented with strong technical aptitude and desire for learning new technologies * Knowledge ... Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems ...

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All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Albany, NY

Senior Embedded Machine Learning information

See Albany, NY salary details

$75K

$143.7K

$192.1K

How much do senior embedded machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior embedded machine learning in Albany, NY is $143,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $161,300.00 per year, depending on experience, location, and employer.

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What cities near Albany, NY are hiring for Senior Embedded Machine Learning jobs?

Cities near Albany, NY with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Senior Database Administrator II

Contact Government Services, LLC

Albany, NY • On-site

$114K - $165K/yr

Full-time

Re-posted 13 days ago

Job description

Senior Database Administrator II
Employment Type: Full-Time, Mid Level
Department: Information Technology 

Contact Government Services is seeking a Senior Database Administrator to assist with administering all aspects of Microsoft SQL Server.  

CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.

Skills and attributes for success
- Administering Microsoft SQL Server including Replication, Backup/Restore procedures, Capacity Planning, Reporting Services, Analysis Services, and Integration Services.
- Migrating databases from SQL Server 2012 to SQL Server 2016.
- Providing all aspects of basic systems administration support including planning, execution, testing, installations, and configurations of new hardware and software.
- Recommending/implementing solutions for SQL performance monitoring and tuning.
- Implement, deploy, and/or support Microsoft Technologies such as Visual Studio Framework, VB.NET, ASP, NET and Web Services.
- Support visualization technologies such as VMware and Microsoft Hyper-V, creating and configuring virtual machines. 
- Performing back ups of the web, application, and database servers according to MPA policies and procedures. This hall includes daily incremental backups and full weekly backups of all volumes of servers.
- Performing database activities such as monitoring, space management, and support, as well as extended hours of support for database systems when required.

Qualifications
- Minimum 5 years relevant experience related directly to SQL Server Database Administration.
- Ability to handle multiple assignments concurrently.
- Experience with visualization technologies such as VMware and Microsoft Hyper-V.
- Experience and knowledge related to source/change control, bug tracking, SDLC, and integration of Relational Databases.
- Ability to appropriately handle confidential and/or sensitive materials.
- Comfort with and willingness to work in groups and individually on both large and small projects.
 -Ability to document, explain, and present any task related to decisions and processes.

Ideally, you will also have:
- Experience implementing and maintaining data warehouses.
- Experience with AWS RDS for PostgreSQL.
- Experience with working in cloud environments such as Azure and/or AWS.
- Prior professional services or federal consulting experience.

Our Commitment
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.

For the past seven years, we’ve been growing our government contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.

Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.

We care about our employees. Therefore, we offer a comprehensive benefits package.
- Health, Dental, and Vision
- Life Insurance
- 401k
- Flexible Spending Account (Health, Dependent Care, and Commuter)
 -Paid Time Off and Observance of State/Federal Holidays

Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Join our team and become part of meaningful government innovation!

Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/

For more information about CGS please visit https://www.cgsfederal.com or contact:
Email: info@cgsfederal.com

#CJ

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.