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Senior Embedded Machine Learning Jobs in Schenectady, NY

Senior Business Intelligence Developer Location: Troy, MI Pay Rate: $40-45/hr Duration: 13 weeks ... Basic understanding of Statistical and Machine Learning concepts. Basic understanding of ...

Senior Principal Digital Engineer

Schenectady, NY ยท On-site

$121K - $167K/yr

... Machine Learning (AI/ML) methodologies, and modernizing engineering and operational processes ... Responsibilities The Senior Principal Engineer is expected to bring both technical expertise and ...

As a Software Architect Sr within PNC's C&IB Tech Capital Markets organization, you will be based ... Machine Learning (ML), Pega Marketing, Risk Assessments, Technical Knowledge Competencies ...

Posted today

Perform machine and deep learning models: neural network model, text classification using LSTM and CNN * Computer visioning modeling using Azure ML * Keras, Python and Torch libraries * Track and ...

Dishwasher

Troy, NY ยท On-site

$16.50 - $17.50/hr

Provincial Senior Living proudly manages lifestyle-driven Independent Living communities across the ... We continually aspire and invest in learning and development opportunities that support our team ...

Director - Enterprise Resource Planning

Latham, NY ยท On-site

$64.50 - $84.25/hr

Partner with senior leaders to identify opportunities for process improvement, automation, and ... IoT, and machine learning. Leadership Skills : * Demonstrated ability to lead, develop, and ...

Expert Project Manager

Albany, NY ยท On-site

$42 - $45/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Expert Project Manager

Albany, NY ยท Hybrid

$42 - $45/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Expert Project Manager

Albany, NY ยท On-site

$42 - $45/hr

Present updates to senior leadership and stakeholders. * Facilitate project meetings and steering ... Machine Learning (ML) * Cloud Computing * Transportation Communications * Cybersecurity Required ...

Showing results 21-40

Senior Embedded Machine Learning information

See Schenectady, NY salary details

$73K

$140.1K

$187.2K

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 Schenectady, NY is $140,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $157,200.00 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 Schenectady, NY are hiring for Senior Embedded Machine Learning jobs?

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

Director , Product Management - AI Claims Platform (City of Albany)

Hispanic Alliance for Career Enhancement

Albany, NY โ€ข On-site

$231K - $242K/yr

Full-time

Re-posted 10 days ago


Job description

Position Summary

Weโ€™re building a world of health around every individual โ€” shaping a more connected, convenient and compassionate health experience. At CVS Healthยฎ, youโ€™ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger โ€“ helping to simplify health care one person, one family and one community at a time.

CVS Health's Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our data teams build next generation data and machine learning platforms and products in the cloud that help CVS Health to make healthier happen for 100+ million customers.

CVS Health is building the next generation of AI-powered tools that transform the fundamentals of claims service operations, including solutions such as AI-powered agentic claims advisor platform and auto adjudication systems and knowledge bases. We are looking for a Director, Product Management-AI Claims Platform to own this portfolio. You will set the โ€œwhatโ€ and โ€œwhyโ€ - define vision and roadmap, lead a team of Product Managers, each heading a dedicated cross-functional squad (agile development teams) to deliver measurable impact in a high-stakes enterprise environment.

This is a rare opportunity to own a flagship AI product in healthcare from strategy through delivery โ€” partnering closely with Business executives, Operations teams, Enterprise technology, Data science and Engineering, with strong visibility to senior leadership. This role requires operating with a high degree of autonomy while maintaining credibility across the stakeholders.

Key Responsibilities Product Strategy & Vision
  • Own the product vision and multi-horizon roadmap for AI-powered claims decision-support and auto adjudication platform, identifying, shaping and prioritizing capabilities

  • Translate complex, nuanced claims policies and business operational workflows into a clear, prioritized technology product strategy across Aetnaโ€™s commercial and government lines of businesses

  • Ensure user-centric design and anchor the product strategy and scope to maximize impact and support future scaling

  • Make confident, well-reasoned product decisions amid ambiguity, driving momentum and impact without waiting for perfect information

  • Frame investment decisions and tradeoffs for senior executives in terms of measurable outcomes

Cross-functional leadership & operating model
  • Serve as the primary product voice across a highly matrixed enterprise, partnering with business, enterprise technology, data science and engineering, and program leadership.

  • Shape how a fast-scaling product organization operates โ€” clarifying roles, decision-making, and ways of working across product life cycle activities.

  • Build durable, scalable partnerships with business and subject-matter experts to ensure alignment of vision

  • Shape business case and supporting budgeting, investment committee review, and finance reporting processes

  • Anticipate and resolve adjacent portfolio dependencies and competing priorities, keeping the broader effort aligned and moving.

  • Be primary point of engagement for senior business stakeholders and tailor communication by audience and goals, whether aligning product strategy, driving commercial decisions, or unblocking delivery and anticipating misalignment before it surfaces

Impact delivery
  • Lead delivery across the portfolio including roadmap, prioritization, milestone, and impact accountability, through a team of product managers, setting clear direction and growing the team while stepping in to perform handsโ€‘on product responsibilities when needed

  • Identify and resolve cross-squad and cross functional interdependencies and prioritization tradeโ€‘offs

  • Responsible for setting, measuring, and leading the team to accomplish product adoption, user change management and business impact goals

  • Engage credibly in technical discussions, ensuring solution feasibility and traceability to business and customer requirements

  • Partner closely with engineering and data science on the productโ€™s intelligence engine, data foundations, validation and testing systems, coordinating resolution with broader Enterprise partners

Required Qualifications
  • 10+ years in Product Management, with clear progression to Senior / Director-level scope and a track record of owning products end-to-end.

  • 5+ years of experience turning complex, ambiguous policy or business rules into reliable product logic in partnership with subject-matter experts.

  • 5+ years leading through influence in complex, matrixed organizations, creating clarity and momentum amid ambiguity.

  • 3+ yearsโ€™ handsโ€‘on experience building AI or other advancedโ€‘analytics powered workflowโ€‘automation products in real operational environments, including humanโ€‘inโ€‘theโ€‘loop systems where accuracy and trust matter.

  • 3+ years of experience with healthcare claims, adjudication systems, or other complex, policy-driven operational workflows.

  • 3+ years demonstrating skills as a firstโ€‘principles thinker who can get to the root of hard problems and translate them into a clear strategy executives can act on.

  • 3+ years of exceptional executive communication โ€” able to distill complex tradeoffs into crisp, compelling narratives for VP+ audiences.

Preferred Qualifications
  • Familiarity with claims adjudication systems and business rules engines.

  • Demonstrated ability to design and evolve how a product organization operates.

  • Fluency with the latest ML and agentic approaches, with a clear point of view on where human oversight belongs, guardrails and evaluation strategy.

  • Changeโ€‘management and adoptionโ€‘strategy experience for enterprise tools and software.

Education
  • Bachelorโ€™s degree required, preferably in a quantitative, analytical, or technical field (e.g., Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).

  • MBA or advanced degree preferred.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual fullโ€‘time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or shortโ€‘term incentive program in addition to the base pay range listed above. This position also includes an award target in the companyโ€™s equity award program.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

We anticipate the application window for this opening will close on: 07/25/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran โ€” committed to diversity in the workplace.

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