Lead Machine Learning Engineer
hims & hers
- Location
- United States of America
- Posted
- Salary Range
- 190k - 230k USD
Lead Machine Learning Engineer with 10+ years of experience in Engineering and/or Machine Learning
Remote Jobs
Lead Machine Learning Engineer
Superside
- Location
- Cameroon
- Posted
Lead Machine Learning Engineer for scalable data pipelines and AI integration at Superside
Sr Lead Machine Learning Engineer
Upwork
- Location
- United States of America
- Posted
- Salary Range
- 195k - 308k USD
Lead AI/ML initiatives at Upwork, mentor teams, conduct research, and deploy cutting-edge models. Enjoy competitive salary and excellent benefits in a remote-first environment.
Machine Learning Lead
Loka, Inc
- Location
- Macedonia, Republic of
- Posted
Machine Learning Team Lead for scalable ML models, data exploration, model development, deployment, and scaling in production environments.
Lead Software Engineer - Machine Learning
Monarch Money
- Location
- United States of America
- Posted
- Salary Range
- 180k - 200k USD
ML Engineer at Monarch Money: Develop and deploy AI solutions for personal finance management
Machine Learning Engineer
Coursera
- Location
- India
- Posted
Join Coursera's Machine Learning team and contribute to creating personalized learning experiences through AI-powered technologies.
Lead Product Manager - Machine Learning
hims & hers
- Location
- United States of America
- Posted
Lead machine learning product initiatives for Hims & Hers, driving innovation and leveraging data to enhance customer experiences in healthcare delivery.
AI Machine Learning Engineer
Welocalize
- Location
- Romania
- Posted
Develop machine learning solutions for localization and business workflow processes using Python and AWS services.
AI Machine Learning Engineer
Welocalize
- Location
- Spain
- Posted
Develop and implement machine learning models for localization and business workflow processes using Python and AWS services.
AI Machine Learning Engineer
Welocalize
- Location
- Greece
- Posted
Machine Learning Engineer for localization and business workflow processes using AWS services and Docker
Staff Machine Learning Engineer
MyFitnessPal
- Location
- United States of America
- Posted
- Salary Range
- 170k - 215k USD
Lead the technical implementation of AI products at MyFitnessPal, mentor teams, and design scalable ML systems to enhance user engagement and improve product quality using recommendation systems, search features, NLP, LLMs, and deep learning.
Principal Machine Learning Engineer
Twilio
- Location
- Colombia
- Posted
As a Principal Machine Learning Engineer at Twilio, you will leverage AI and machine learning to drive innovation and efficiency across our services. Collaborate with cross-functional teams to develop cutting-edge solutions using Python, SQL, R, AWS, and other tools.
Machine Learning Scientist
Coursera
- Location
- India
- Posted
Join Coursera's Discovery Science ML team to develop personalized search and recommender systems
Machine Learning Engineer - Personalization
Spotify
- Location
- United States of America
- Posted
- Salary Range
- 137k - 196k USD
ML Engineer at Spotify: Develop AI solutions for music & podcast recs, collaborate with cross-functional teams, and drive optimization.
Senior Machine Learning Engineer
reserv
- Location
- United States of America
- Posted
Senior Machine Learning Engineer at Reserv, developing AI models and machine learning solutions for insurtech company
Senior Machine Learning Engineer
CAST AI
- Location
- Croatia
- Posted
- Salary Range
- 78k - 108k EUR
Design and deploy sophisticated data models at CAST AI, leveraging cloud-native technologies and contributing to machine learning operations. Collaborate with cross-functional teams and stay ahead of industry trends while enjoying benefits like flexible work hours and company equity.
Senior Machine Learning Engineer
Apollo.io
- Location
- India
- Posted
Build and productionize Machine Learning models for Apollo products like Search and Recommendations. Leverage data to predict user behaviors and optimize their experience. Improve ML stack and maintain scalable data pipelines.
Senior Machine Learning Engineer
Kueski
- Location
- Mexico
- Posted
Design and build scalable pipelines for data preparation and automate machine learning models
Senior Machine Learning Engineer
Invisible Technologies
- Location
- British Virgin Islands
- Posted
Senior Machine Learning Engineer at Invisible Technologies: Build robust backend systems, optimize cloud infrastructure, and collaborate on advanced ML technologies.
Senior Machine Learning Engineer
Entefy
- Location
- United States of America
- Posted
Senior Machine Learning Engineer at Entefy: Unstructured data classification & clustering expertise required.
Lead Machine Learning Engineer
hims & hers
Job Location
Salary Range
190k - 230k USD / YEAR
Job Summary
We are seeking a Lead Machine Learning Engineer to collaborate with our team and implement data-driven products that advance our mission to eliminate stigmas and break down barriers to access. The ideal candidate will have 10+ years of experience in Engineering and/or Machine Learning, expertise with modern machine learning orchestration and deployment tool stacks, and strong understanding of MLOps principles. They will work closely with engineers, data scientists, product managers, and others to build, deploy, and scale machine learning-based systems, ensuring their reliability and performance in production. The successful candidate will also mentor and be mentored by other engineers, actively participate in retrospectives, and drive continuous improvement in our process and culture. With a competitive salary, equity compensation, unlimited PTO, comprehensive health benefits, and employee discounts, this is an excellent opportunity for a talented Machine Learning Engineer to join our team.
About the Role:
How can we use data to build systems that enable easier and more affordable access to health care? In this role as Lead Machine Learning Engineer you will work with engineers, data scientists, product managers, and others to implement and productionize data-driven products that help advance our mission to eliminate stigmas and break down barriers to access.
You Will:
Collaborate with ML engineers, data scientists, product managers and other engineering teams to build, deploy, and scale machine learning-based systems, ensuring their reliability and performance in production
Help guide and make technical decisions based on your knowledge of productionizing data science and ML models, balancing innovation and operational efficiency
Evaluate and implement state-of-the-art tools and frameworks, bringing a broad awareness of the machine learning and LLM production landscape into the company
Mentor and be mentored by other engineers
Actively participate in retrospectives and help drive continuous improvement in our process and culture
You Have:
10+ years working in Engineering and/or Machine Learning Engineer with a proven record of developing and maintaining machine learning production systems
Expertise with the modern machine learning orchestration and deployment tool stack (such as Databricks MLFlow, AWS SageMaker, Metaflow)
Proficiency in Python and machine learning libraries and frameworks (e.g., PyTorch, Scikit-learn, Tensorflow)
Strong understanding of MLOps principles and experience automating workflows for model training, deployment, and monitoring
Familiarity with machine learning fundamentals, statistical modeling techniques, and data preprocessing pipelines
Experience with LLM deployment tooling is a plus
Masters in Computer Science or related fields
A collaborative mindset and excellent communication skills
Our Benefits (there are more but here are some highlights):
Competitive salary & equity compensation for full-time roles
Unlimited PTO, company holidays, and quarterly mental health days
Comprehensive health benefits including medical, dental & vision, and parental leave
Employee Stock Purchase Program (ESPP)
Employee discounts on hims & hers & Apostrophe online products
401k benefits with employer matching contribution
Offsite team retreats
#LI-Remote
