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Senior Optimization Engineer Jobs (NOW HIRING)

Apple

Sr. ML Optimization Engineer, iCloud

Culver City, CA · On-site

$114K - $157K/yr

As a Sr. ML Optimization Engineer, you will work at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization. You will have ...

RPS Softwares AB

NY · On-site

$93.15 - $134.55/hr

We are hiring Senior Optimization Data Scientist for Sweden. Job Summary: We are seeking an ... You'll collaborate closely with Data Scientists, ML Engineers, Product Managers, and business ...

New

Mytra

Senior Modeling & Optimization Engineer

Brisbane, CA · On-site

$125K - $172K/yr

The Senior Modeling & Optimization Engineer will analyze operational data and build simulation models to validate warehouse designs, ultimately supporting customer engagements and influencing product ...

SOLV Energy

Optimization Engineer I

Bend, OR

Monitor workflow performance and document observations for review by senior engineers. Development & Tool Integration * Support LIT and software development teams by testing engineering tools and ...

New

Formlabs

Senior 3D Print Optimization Engineer

Boston, MA · On-site

$115 - $148/hr

## Senior 3D Print Optimization Engineer**Department:** Materials Engineering **Location:** Boston, MA---Do you want to change how the world creates?At Formlabs, we're building the tools that make it ...

SOLV Energy

Optimization Engineer I

San Diego, CA

Monitor workflow performance and document observations for review by senior engineers. Development & Tool Integration * Support LIT and software development teams by testing engineering tools and ...

New

EnergyHub

Senior Forecasting and Optimization Engineer

$108K - $147K/yr

As a Senior Forecasting and Optimization Engineer you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy.

Formlabs

Senior 3D Print Optimization Engineer

Boston, MA

$113K - $155K/yr

If you're excited about process optimization, solving multi-disciplinary challenges, and bringing the best print performance to market, we want you as a Senior 3D Print Optimization Engineer. The Job:

Formlabs

Senior 3D Print Optimization Engineer

Boston, MA · On-site

$113K - $155K/yr

If you're excited about process optimization, solving multi-disciplinary challenges, and bringing the best print performance to market, we want you as a Senior 3D Print Optimization Engineer. The Job:

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Senior Optimization Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior optimization engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior optimization engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a senior optimization engineer?

A Senior Optimization Engineer is a highly experienced professional who specializes in improving the efficiency and performance of systems, processes, or products. They use advanced analytical, mathematical, and engineering techniques to identify inefficiencies and develop solutions that maximize output while minimizing costs or resource usage. Senior Optimization Engineers often work in industries such as manufacturing, software, logistics, and energy. Their responsibilities may include data analysis, algorithm development, simulation modeling, and collaborating with cross-functional teams to implement improvements. This role typically requires a strong background in engineering, mathematics, and optimization methods, as well as several years of relevant experience.

How does a senior optimization engineer collaborate with cross-functional teams to implement solutions?

Senior Optimization Engineers often work closely with data scientists, software developers, and business analysts to design and implement process improvements. They play a key role in translating complex mathematical models into practical solutions that can be integrated into existing systems. Regular communication and collaboration are essential, as these engineers must ensure that proposed optimizations align with business goals and technical constraints. Effective teamwork and stakeholder engagement are crucial for successfully moving projects from concept to execution.

What skills and qualifications are needed to thrive as a senior optimization engineer?

To thrive as a Senior Optimization Engineer, you need expertise in mathematical modeling, data analysis, and optimization algorithms, typically supported by a degree in engineering, mathematics, or a related field. Proficiency in programming languages (such as Python, MATLAB, or C++), optimization software (like Gurobi or CPLEX), and familiarity with simulation tools are commonly required. Strong problem-solving abilities, effective communication, and project management skills help you stand out in this role. These skills and qualities are vital to developing efficient solutions, collaborating with cross-functional teams, and driving impactful process improvements.

What is the difference between Senior Optimization Engineer vs Data Scientist?

AspectSenior Optimization EngineerData Scientist
Required CredentialsBachelor's or Master's in Engineering, Mathematics, or related field; experience in optimization algorithmsBachelor's or Master's in Computer Science, Statistics, or related field; proficiency in data analysis
Work EnvironmentEngineering teams, product development, operationsData analysis teams, research, business intelligence
Industry UsageManufacturing, logistics, tech companies focusing on process optimizationTech, finance, healthcare, focusing on data-driven insights

While both roles require strong analytical skills and technical expertise, Senior Optimization Engineers focus on improving processes and systems through optimization techniques, whereas Data Scientists analyze data to generate insights and support decision-making. The roles often collaborate but serve different core functions within organizations.

What cities are hiring for Senior Optimization Engineer jobs? Cities with the most Senior Optimization Engineer job openings:
What are the most commonly searched types of Optimization Engineer jobs? The most popular types of Optimization Engineer jobs are:
What states have the most Senior Optimization Engineer jobs? States with the most job openings for Senior Optimization Engineer jobs include:
Senior Optimization Engineer jobs near you

Sr. ML Optimization Engineer, iCloud

Apple

Culver City, CA • On-site

$114K - $157K/yr

Full-time

Re-posted 28 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

In Apple's iCloud services organization, efficiency is not just a technical goal; it's an essential part of our commitment to environmental sustainability and optimal resource utilization. This team plays a pivotal role in ensuring that our cloud services are not only robust and reliable but also efficiently utilize resources at scale. This team also focuses on ML-driven forecasting, capacity planning, resource optimization, and the development of sophisticated cost models for iCloud's large-scale services. As a Sr. ML Optimization Engineer, you will work at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization. You will have the unique opportunity to collaborate closely with experts, contribute to cutting-edge forecasting and optimization strategies, and directly impact millions of users globally. Our team is at the forefront of driving efficiency in one of the world's largest cloud infrastructures, supporting billions of devices globally.
Description
The Sr. ML Optimization Engineer will be a key player in Apple's ongoing efforts to improve the efficiency of its cloud services. This role involves in-depth analysis of infrastructure usage patterns, and data-driven capacity planning to ensure scalability and reliability while minimizing resource wastage.
Minimum Qualifications
3+ years of relevant experience in large-scale cloud services or similar environments
Strong software engineering background and experience with ML-based modeling, time-series forecasting, and data-driven decision making for cloud services
Exceptional analytical and problem-solving skills, with the ability to communicate complex ideas clearly and effectively to cross-functional teams
Hands-on experience with platform observability tools, enabling deep insights into service performance and helping to drive optimizations
Experienced in developing cost models and strategies for software services, ensuring optimal resource utilization and cost-effectiveness
Bachelor or Master's degree in Computer Science, Engineering, or a related field
Preferred Qualifications
Experience applying classical optimization techniques to real-world systems or infrastructure problems
Demonstrable experience in capacity planning and resource optimization using machine learning and/or optimization techniques
Knowledge of machine learning pipelines and service monitoring tools a plus
PhD in CS or related field with a focus on machine learning, optimization, or large-scale distributed systems

What Apple employees say

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Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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