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Senior Embedded Machine Learning Jobs in Rochester, NY

*NEW* Staff Accountant

Greece, NY ยท On-site

$65K - $80K/yr

Be at the forefront of innovation, applying machine learning to aerospace manufacturing ... This is a hands-on role embedded within a collaborative accounting and finance team, offering ...

Be at the forefront of innovation, applying machine learning to aerospace manufacturing ... This is a hands-on role embedded within a collaborative accounting and finance team, offering ...

Staff Accountant

Greece, NY ยท On-site

$65K - $80K/yr

Be at the forefront of innovation, applying machine learning to aerospace manufacturing ... This is a hands-on role embedded within a collaborative accounting and finance team, offering ...

Staff Accountant

Pittsford, NY ยท On-site

$65K - $80K/yr

Be at the forefront of innovation, applying machine learning to aerospace manufacturing ... This is a hands-on role embedded within a collaborative accounting and finance team, offering ...

Staff Accountant

Henrietta, NY ยท On-site

$65K - $80K/yr

Be at the forefront of innovation, applying machine learning to aerospace manufacturing ... This is a hands-on role embedded within a collaborative accounting and finance team, offering ...

Staff Accountant

Rochester, NY ยท On-site

$60 - $80/hr

Be at the forefront of innovation, applying machine learning to aerospace manufacturing ... This is a hands-on role embedded within a collaborative accounting and finance team, offering ...

Showing results 41-60

Senior Embedded Machine Learning information

See Rochester, NY salary details

$74.5K

$142.8K

$190.9K

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

As of Sep 7, 2026, the average yearly pay for senior embedded machine learning in Rochester, NY is $142,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,300.00 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 are the most commonly searched types of Embedded Machine Learning jobs in Rochester, NY?

The most popular types of Embedded Machine Learning jobs in Rochester, NY are:

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

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

*NEW* Staff Accountant

Augmentis

Greece, NY โ€ข On-site

$65K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Key responsibilities

  • Prepare and post journal entries to ensure the accuracy and completeness of the general ledger monthly.

  • Support the monthly close process, coordinating with cross-functional stakeholders to meet established close deadlines.

  • Prepare and distribute financial reports, perform variance analysis, and assist with inventory-related reporting and forecasting activities.


Job description

Our client, a leading manufacturer of aero engines and industrial gas turbine components, is a globally recognized public company with a remarkable 75-year history of growth and innovation. Renowned in the aerospace industry, it offers an exceptional company culture that fosters development and provides diverse opportunities. Forbes has honored it as one of the World's Best Employers, highlighting its commitment to excellence and inclusivity.

Company Description & Perks:

  • Publicly traded company on a path of continuous growth, recognized by Forbes as a top global employer
  • This position is eligible for a $1,000 sign-on bonus
  • Exceptional insurance coverage and 401(k) matching program (9%), effective upon hire
  • Employer contribution to your Retirement Savings Plan account each pay period
  • Vibrant company culture and collaborative team environment
  • Access to excellent training programs for professional development
  • Free fitness center membership
  • Be at the forefront of innovation, applying machine learning to aerospace manufacturing
  • Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems

Our client is seeking a detail-oriented and motivated Staff Accountant. This is a hands-on role embedded within a collaborative accounting and finance team, offering meaningful day-to-day ownership of core general accounting functions.

The Staff Accountant will be responsible for the execution of general ledger activities, month-end close, and financial reporting, while also serving as a key backup resource to the Senior Financial Analyst on inventory accounting, standard cost analysis, and forecasting activities. This position is ideally suited for a manufacturing-focused accountant eager to deepen their technical skill set and grow in a structured, process-driven environment.

Key Responsibilities

General Ledger & Month-End Close

  • Prepare and post journal entries to ensure the accuracy and completeness of the general ledger monthly.
  • Perform balance sheet account reconciliations, identifying and resolving reconciling items in a timely manner.
  • Support the monthly close process, coordinating with cross-functional stakeholders to meet established close deadlines.
  • Assist with balance sheet reviews and internal/external audit requests, providing supporting documentation and analysis as needed.

Financial Reporting & Analysis

  • Prepare and distribute daily, weekly, and monthly financial reports to management and relevant business partners.
  • Perform PAE (Pre-Authorized Expenditure) and GASE (General and Specific Expense) variance analysis, communicating findings and trends to the finance team.
  • Support the Senior Financial Analyst with inventory-related reporting, standard cost revisions, and periodic forecasting activities.
Accounts Receivable & Credit Management
  • Monitor and actively manage the accounts receivable aging, proactively following up on past-due balances to support healthy cash flow.
  • Process credit memos and Return Merchandise Authorization (RMA) transactions accurately and in accordance with established policies.
Inventory & Manufacturing Accounting
  • Coordinate and maintain the revert/scrap scheduling and tracking process, including preparation and issuance of related invoices.
  • Assist with standard cost system updates and reconciliation of inventory-related accounts to the general ledger.
Payroll Reconciliation
  • Complete weekly and bi-monthly payroll reconciliations, ensuring data integrity between payroll systems and the general ledger.
Process Improvement
  • Proactively identify opportunities to streamline, automate, or otherwise improve accounting processes and internal controls.
  • Partner with IT and operations teams to evaluate and implement system enhancements supporting the accounting function.

Qualifications

Basic Qualifications

  • Bachelor's degree in Business Administration with a concentration in Accounting or Finance required.
  • Minimum of 2-3 years of accounting experience in a manufacturing environment.
  • Working knowledge of U.S. GAAP and its application within a manufacturing or cost accounting context.
  • Proficiency in Microsoft Office Suite, with strong Excel skills (pivot tables, VLOOKUP, data analysis).
Preferred Qualifications
  • 2-3 years of direct exposure to standard cost accounting systems within manufacturing or aerospace.
  • Experience with ERP systems, particularly QAD, Oracle, or Hyperion; Visual Manufacturing Software experience is a plus.
  • Familiarity with aerospace industry accounting standards and practices.

Core Competencies

  • Strong analytical and problem-solving skills, with a high degree of accuracy and attention to detail.
  • Excellent written and verbal communication skills; ability to present financial information clearly to non-financial stakeholders.
  • Self-motivated, with the ability to operate both as an independent contributor and as a collaborative team member.
  • Adaptable and intellectually curious, with a demonstrated desire for continuous learning and professional development.
  • Ownership mindset, taking personal accountability for deliverables, deadlines, and the accuracy of work product.

Compensation & Benefits

Our client offers a competitive total rewards package designed to attract and retain top talent:

  • $1,000 Sign-On Bonus for qualified candidates
  • 5% Annual Target Performance Bonus
  • Comprehensive Benefits effective Day 1 of employment:
  • Medical, Prescription Drug, Dental, and Vision coverage
  • 401(k) Retirement Savings Plan:
    • 6% company match, plus an additional 3% company contribution regardless of employee participation, for a maximum total company contribution of 9% annually
  • Paid Time Off (PTO) plus 11 paid company holidays per year
  • Employee Life Insurance
  • Employee Assistance Program (EAP)
  • Paid Parental Leave, up to 3 weeks at 100% pay for the birth or adoption of a child
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About Augmentis
Augmentis is a specialized recruiting firm focused on accounting, finance, procurement, and engineering talent across the U.S. We partner with growthoriented companies to match highimpact professionals with meaningful roles.

To learn more about Augmentis, visit our website: www.augment-is.com 

Representation/employer clarification:

Augmentis is conducting this search on behalf of our client. The selected candidate will be employed directly by our client, not by Augmentis.

EEO + disclaimer

Our client and Augmentis are Equal Opportunity Employers. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. This job posting does not constitute a contract or guarantee of employment, and role details are subject to change based on our clients' needs. By applying, you acknowledge that your information may be shared with our client for recruitment and hiring.

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