24,709 Lead Machine Learning Engineer jobs in the United States
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Mind Company's mission is to build non-invasive neural interfaces - that is, enabling a communication layer between humans and other humans or computers, directly using thoughts.
In pursuit of this mission, our Research Team is responsible for building and training appropriate machine learning models capable of translating brain data into useful forms, such as text.
About the role
As our Lead Machine Learning Engineer, you will be directly responsible for all our machine learning efforts, the core of our business.
You'll be figuring out how to most accurately and efficiently translate brain wave data to useful forms. You'll work with researchers, hardware engineers, and the CEO/CTO.
This role is based in San Francisco, CA. We're an in-person company who deeply believe that great products are not built working from home.
In this role, you'll:
- Work across our ML stack, and occasionally work on general software efforts as well
- Build, train and deploy our ML translation models which convert brain waves into more useful forms
- Learn about the brain, and understand how optimizing hardware can lead to model accuracy improvements
- Grow and manage the Research Team, and its direction
- 2+ years experience building, training and deploying ML models
- Curious about the brain, and passionate about unlocking human-computer interaction
- Strong leadership skills and self-starter, able to carry a project from beginning to end
About Mind Company
Mind Company is 6-person neuro-tech startup with the mission of building noninvasive neural interfaces. We build our own hardware systems which measure brain data, collect proprietary training datasets, and train useful ML models.
If we succeed, humans will be communicating at higher information rates, playing video games with their mind, and never using slow keyboards again. All without requiring surgery. Join us in making this vision a reality.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What you'll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage 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 the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.
Basic Qualifications:
Bachelor's degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems
Preferred Qualifications:
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $20,700 for Lead Machine Learning Engineer Chicago, IL: 175,800 - 200,700 for Lead Machine Learning Engineer McLean, VA: 193,400 - 220,700 for Lead Machine Learning Engineer New York, NY: 211,000 - 240,800 for Lead Machine Learning Engineer Richmond, VA: 175,800 - 200,700 for Lead Machine Learning Engineer San Francisco, CA: 211,000 - 240,800 for Lead Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
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Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
- Lead a team of 3-5 ML engineers building personalization systems
- Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
- Define technical roadmap aligned with business objectives
- Drive improvements in model quality, system reliability, and development velocity
- Establish best practices for model development and deployment
- Partner with product, data science, and engineering teams
- Contribute hands-on to critical model development (50% coding)
- 7+ years in ML engineering, 2+ years leading technical teams
- Deep expertise in large-scale personalization systems
- Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
- Strong system design skills for ML infrastructure
- Proven ability to mentor engineers and drive technical decisions
- Experience managing stakeholder relationships and project delivery
- BS/MS in Computer Science or equivalent experience
- Experience in adtech, e-commerce, or content platforms
- Published papers or significant ML contributions
- Experience with multi-objective optimization
- Knowledge of reinforcement learning for personalization
Compensation: $130,000 - $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.