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Machine Learning Engineer Two Jobs in Santa Clara, CA

Altera

Machine Learning Engineer

San Jose, CA

About the Role We are seeking a Machine Learning Engineer to help drive the development,optimizationand deploymentof Altera FPGA Compiler. In this role, you will work at the intersection of machine ...

New

Altera Corporation

Machine Learning Engineer

San Jose, CA · On-site

$200K - $290K/yr

About the Role We are seeking a Machine Learning Engineer to help drive the development, optimization and deployment of Altera FPGA Compiler. In this role, you will work at the intersection of ...

New

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.

Cortes 23

Machine Learning Engineer

Dublin, CA · On-site

$163 - $204/hr

See yourself at Twilio Join the team as Twilio's next L3, Machine Learning Engineer, Trust Intelligence Platform. About the job Join Twilio's rapidly-growing AI & Data Platform team as an Machine ...

New

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

The role involves designing, building, and deploying machine learning solutions while collaborating with a team of software engineers and researchers to tackle significant security challenges.

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... At least 2 years of experience leading teams developing ML solutions Preferred Qualifications:

Apple Inc.

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$147.40 - $220.90/hr

MS in computer science or equivalent field with 2+ years of industry experience * Proven record in delivering end-user facing Machine Learning driven products * Strong programming experience in one ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...

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All JobsMachine Learning Engineer Two JobsMachine Learning Engineer Two Jobs in Santa Clara, CA

Machine Learning Engineer Two information

See Santa Clara, CA salary details

$37K

$151.2K

$227.3K

How much do machine learning engineer two jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer two in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

Is machine learning engineer two a high paying job?

Machine Learning Engineer Two is generally considered a high-paying role within the tech industry, often offering salaries above the national average for engineering positions. Compensation depends on factors such as experience, location, and skills in tools like Python, TensorFlow, or cloud platforms, but it typically reflects the specialized expertise required for advanced machine learning tasks.
What are popular job titles related to Machine Learning Engineer Two jobs in Santa Clara, CA? For Machine Learning Engineer Two jobs in Santa Clara, CA, the most frequently searched job titles are:
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Machine Learning Engineer Two jobs near you
Infographic showing various Machine Learning Engineer Two job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $151,231 per year, or $72.7 per hour.

Machine Learning Engineer

Altera

San Jose, CA

Full-time

Posted 3 days ago

New

Job description

Job Details:Job Description:

Altera is a global leader in programmable logic solutions, delivering highperformance FPGA technology that powers nextgeneration cloud, networking, and edge applications. With a renewed focus on agility, softwarefirst usability, andhardwareacceleratedinnovation, Altera is shaping the future of computing. Join us as we build the next wave ofAI optimizedFPGA platforms and tools!

About the Role

We are seeking a Machine Learning Engineer to help drive the development,optimizationand deploymentof Altera FPGA Compiler. In this role, you will work at the intersection ofmachine learningand compiler/toolchain development, enabling customers to achieve breakthrough performance and efficiency on programmable logic.

You will collaborate closely with hardware architects, software engineers, and IP developers to design ML models,optimizeinference pipelines, and contribute to the evolution of Altera's FPGACompiler.

Key Responsibilities

  • Develop,optimize, and deploy advanced machine learning technologies to enhance FPGA compiler performance,focusingon timing closure, resourceutilization, and power efficiency.

  • Evaluate and integrate emerging ML models (e.g., graph neural networks, reinforcement learning) and frameworks (e.g.,PyTorch, TensorFlow) for compiler optimization tasks like placement, routing, and logic synthesis.

  • Build robust tools, scripts, and CI/CD workflows to automate model conversion, quantization, pruning, and deployment within the FPGA design flow, ensuring compatibility with EDA tools like Quartus.

  • Collaborate with customers, FPGA architects, and internal engineering teams to gather ML requirements, define success metrics, and deliver tailored, production-ready solutions.

  • Design and execute comprehensive benchmarks to measure ML-optimized compiler performance across diverse FPGA families (e.g.,Agilex, Stratix), analyzing metrics such as compile time,QoR, and scalability.

Salary Range

The pay range below is for Bay Area California only. Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$200.4K- $290.1KUSD

We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations.

Qualifications:

Minimum Qualifications

  • Bachelor'sDegree or higher in Computer Science, Electrical Engineering, or a related field.

  • 10+years of experience in machine learning development, modeloptimizationor ML systems engineering.

  • Experience with C++ and Python in production or research environments.

Preferred Qualifications

  • Experience with Agile methodologies, GitHub Copilot or similar AI coding assistants, and high-performance computing environments.

  • Familiarity with edge AI inference on FPGAs and neuro-symbolic AI techniques.

  • Strong communicationskills for cross-functional collaboration and presenting results at conferences like DAC or FPGA World.

Job Type: RegularShift:Shift 1 (United States of America)Primary Location:San Jose, California, United StatesAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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