264 Machine Learning jobs in Ohio

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

---

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801
Employment Status: Salary Full-Time
Function: Engineering
Req ID: 26915

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements.

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

. This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.*

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include:

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master's degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Oak Street Health, part of the CVS Health umbrella, is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit .

Role Description

CVS Health is looking for a machine learning engineer to support our extensive production modeling efforts. Oak Street Health has built world-class risk stratification tools to empower optimal clinical outcomes and you will have the opportunity to contribute to its continued growth through writing production-quality code. You will design, develop, test and expand Oak Street Health's internal tools that enable our Data Science teams to build, deploy and monitor models more effectively and efficiently. You will leverage both your programming and problem-solving skills to improve our model building and hosting pipelines.

Responsibilities

• Design, develop, and implement machine learning pipelines in collaboration with Data Science teams.

• Maintain and enhance best practices through code development and testing, ML model validation, and automation of tests and deployments.

• Collaborate with Data Science, Product, Engineering, and Business partners to deploy effective and efficient state-of-the-art machine learning models that address OSH operational needs.

• Support the full MLOps lifecycle, including external data integration, data validation, model scaling, and prediction monitoring.

• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver ML models at scale.

• Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.

• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI guidelines.

• Independently pursue and implement solutions to complex problems.

What we're looking for

We're looking for motivated, entrepreneurial individuals with:

• Basic Qualifications

• 1+ years of experience building, scaling, and optimizing machine learning systems.

• 1+ years of experience programming with one or more modern languages, such as Python, C++, Java, etc.

• 1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)

• A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline OR 3+ years of direct experience.

• Strong background in the foundations of machine learning and model serving.

• Proficiency with Python and ML frameworks such as Scikit-learn, PyTorch, Dask, Spark, or TensorFlow.

• Track record of building ETL or ML model-serving pipelines.

• Ability to scale a data scientist's code into production-ready packages integrated into core OSH services.

• Strong communication and interpersonal skills with the ability to deliver complex topics to all familiarity levels.

• US work authorization.

• Growth mindset and willingness to learn.

• Someone who embodies being "Oaky".

• Preferred Qualifications

• Experience working with clinical or medical data.

• 1+ years of experience developing analytical pipelines against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift using Python, SQL or PySpark.

• Experience packaging Python code into distributable & deployable packages.

• Experience with at least one major cloud platform (Azure, GCP, AWS)

• Experience with Databricks.

• Hands-on experience with NLP or generative-AI techniques

What does being "Oaky" look like?

• Radiating positive energy

• Assuming good intentions

• Creating an unmatched patient experience

• Driving clinical excellence

• Taking ownership and delivering results

• Being scrappy

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-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 short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 09/12/2025

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

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801
Employment Status: Salary Full-Time
Function: Engineering
Req ID: 26915

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements.

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include:

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master's degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Oak Street Health, part of the CVS Health umbrella, is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit .
**Role Description**
CVS Health is looking for a machine learning engineer to support our extensive production modeling efforts. Oak Street Health has built world-class risk stratification tools to empower optimal clinical outcomes and you will have the opportunity to contribute to its continued growth through writing production-quality code. You will design, develop, test and expand Oak Street Health's internal tools that enable our Data Science teams to build, deploy and monitor models more effectively and efficiently. You will leverage both your programming and problem-solving skills to improve our model building and hosting pipelines.
**Responsibilities**
+ Design, develop, and implement machine learning pipelines in collaboration with Data Science teams.
+ Maintain and enhance best practices through code development and testing, ML model validation, and automation of tests and deployments.
+ Collaborate with Data Science, Product, Engineering, and Business partners to deploy effective and efficient state-of-the-art machine learning models that address OSH operational needs.
+ Support the full MLOps lifecycle, including external data integration, data validation, model scaling, and prediction monitoring.
+ Leverage or build cloud-based architectures, technologies, and/or platforms to deliver ML models at scale.
+ Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
+ Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI guidelines.
+ Independently pursue and implement solutions to complex problems.
**What we're looking for**
**We're looking for motivated, entrepreneurial individuals with:**
+ **Basic Qualifications**
+ 1+ years of experience building, scaling, and optimizing machine learning systems.
+ 1+ years of experience programming with one or more modern languages, such as Python, C++, Java, etc.
+ 1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)
+ A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline OR 3+ years of direct experience.
+ Strong background in the foundations of machine learning and model serving.
+ Proficiency with Python and ML frameworks such as Scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
+ Track record of building ETL or ML model-serving pipelines.
+ Ability to scale a data scientist's code into production-ready packages integrated into core OSH services.
+ Strong communication and interpersonal skills with the ability to deliver complex topics to all familiarity levels.
+ US work authorization.
+ Growth mindset and willingness to learn.
+ Someone who embodies being "Oaky".
+ **Preferred Qualifications**
+ Experience working with clinical or medical data.
+ 1+ years of experience developing analytical pipelines against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift using Python, SQL or PySpark.
+ Experience packaging Python code into distributable & deployable packages.
+ Experience with at least one major cloud platform (Azure, GCP, AWS)
+ Experience with Databricks.
+ Hands-on experience with NLP or generative-AI techniques
**What does being "Oaky" look like?**
+ Radiating positive energy
+ Assuming good intentions
+ Creating an unmatched patient experience
+ Driving clinical excellence
+ Taking ownership and delivering results
+ Being scrappy
**Anticipated Weekly Hours**
40
**Time Type**
Full time
**Pay Range**
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-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 short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
**Great benefits for great people**
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .
+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit anticipate the application window for this opening will close on: 09/12/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Lincoln Electric, the global leader in advanced arc welding solutions and manufacturing, has an exceptional opportunity for a Senior Machine Learning Engineer. This role is situated at our headquarters in Euclid, Ohio, and you will play a pivotal role in developing innovative deep learning models to solve complex challenges within our vision-based tools.

As part of our collaborative team, you will ensure that these models are seamlessly integrated into our products and services, adhering to performance and scalability standards. Beyond competitive compensation, Lincoln Electric provides a robust profit-sharing plan, a student loan repayment program, tuition reimbursement, comprehensive medical/dental/vision benefits, a 401(k) with company match, paid time off, and numerous other outstanding benefits!

This position allows for hybrid work flexibility, which will be determined based on business needs. Candidates must be available to work on-site in Euclid, OH when required.

Key Responsibilities:

• Model Development: Create and enhance deep learning models utilizing suitable frameworks like TensorFlow, PyTorch, and Keras tailored for manufacturing applications.
• Training and Evaluation: Train models on extensive datasets and refine hyperparameters for optimal performance.
• Deployment: Implement and deploy models in production environments, ensuring efficiency and scalability, including cloud-based platforms.
• Collaboration: Engage with data scientists, software engineers, and product managers to evaluate and integrate models into services.
• Research: Continuously explore the latest trends in deep learning, including transformers and graph neural networks, applying innovative techniques to our projects.
• Documentation: Keep meticulous records of model architectures, training methods, and evaluation metrics using tools such as ML Flow.

Education & Experience Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field; a PhD is a plus.
• Experience: A minimum of 7 years of experience in developing and deploying deep learning models, particularly with large-scale datasets and cloud platforms preferred.
• Skills: Proficient in deep learning frameworks, adept at designing custom neural networks with data augmentation and attention mechanisms, and capable of writing professional code adhering to SOLID principles and testing protocols.
• Familiar with version control tools to collaborate with team members effectively.
• Strong understanding of partial differential equations, scientific computing, and statistical methods.

Soft Skills: Exceptional problem-solving abilities, strong written and verbal communication skills, and a collaborative team spirit.

Lincoln Electric is an Equal Opportunity Employer. We are dedicated to fostering a workplace where diversity is valued, and all individuals are treated with respect and fairness, regardless of race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other category protected by law.

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

Technical Expertise Required:

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

Compensation: $160,000 - $250,000

Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

Technical Expertise Required:

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

Compensation: $160,000 - $250,000

Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

Technical Expertise Required:

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

Compensation: $160,000 - $250,000

Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments.

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Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.