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Senior Embedded Machine Learning Jobs in Portland, OR

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Storm Machine learning framework Statistical analysis with Python, R or similar Additional ...

SerDes Micro Architect

Beaverton, OR ยท On-site

$180 - $240/hr

Familiarity with Machine Learning concepts. * Experience in firmware or embedded software development is a plus. Apple is an equal opportunity employer that is committed to inclusion and diversity.

Sr Software Development Engineer

Beaverton, OR ยท On-site

$177K - $234K/yr

We are the Machine Learning Product team at Workday. Our focus is on the application of machine learning and statistical analysis to Workday's products to serve our end users. We use diverse datasets ...

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Machine learning framework โ€ข Statistical analysis with Python, R or similar Additional ...

AI Solutions Engineering Delivery Lead

Portland, OR ยท On-site

$108K - $143K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

Data Scientist

Vancouver, WA ยท On-site

$90 - $96/hr

Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

Data Scientist

Vancouver, WA ยท Hybrid

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

Data Scientist

Vancouver, WA ยท On-site

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... machine learning algorithms for business solutions - Excelling in client relationship management ...

Showing results 41-60

Senior Embedded Machine Learning information

See Portland, OR salary details

$80.1K

$153.5K

$205.2K

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 Portland, OR is $153,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $172,300.00 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 Portland, OR?

The most popular types of Embedded Machine Learning jobs in Portland, OR are:

Senior Assortment Planner

Tiger Analytics Inc.

Beaverton, OR โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking a Senior Assortment Planner to join the Global Demand Planning team. This role will be responsible for leveraging data, statistical forecasting, and planning methodologies to optimize assortment strategies and drive informed business decisions. The ideal candidate will combine strong analytical capabilities with a deep understanding of financial, product, and inventory planning.
Responsibilities:
  • Utilize statistical forecasting techniques, data analysis, and innovative planning approaches to develop assortment plans and support business decision-making.
  • Analyze product performance, inventory trends, and financial metrics to optimize assortment strategies.
  • Partner with cross-functional stakeholders to align assortment plans with business objectives.
  • Develop data-driven recommendations and effectively communicate insights to influence decision-making.
  • Monitor assortment performance and identify opportunities for continuous improvement.
  • Support demand planning initiatives through robust analysis and reporting.

Requirements
    • Bachelor's degree required.
    • 3-5 years of experience in assortment planning, merchandise planning, demand planning, or related fields.
    • Demonstrated experience in assortment planning with a strong understanding of financial, product, and inventory planning.
    • Strong analytical and problem-solving skills with the ability to translate data into actionable insights.
    • Excellent communication and stakeholder management skills, with the ability to influence decisions through data-driven storytelling.
    • Advanced proficiency in Microsoft Excel.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.