Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Lead Machine Learning Engineer

Posted 3 days agoViewed

View full description

💎 Seniority level: Lead, 10+ years

💸 Salary: 190000.0 - 230000.0 USD per year

🔍 Industry: Health and wellness

🏢 Company: hims & hers

⏳ Experience: 10+ years

Requirements:
  • 10+ years working in Engineering or as a Machine Learning Engineer with proven experience.
  • Expertise in modern machine learning orchestration and deployment tools such as Databricks MLFlow, AWS SageMaker, and Metaflow.
  • Proficiency in Python and machine learning libraries (e.g., PyTorch, Scikit-learn, Tensorflow).
  • Strong understanding of MLOps principles with experience in 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.
  • Hold a Master's degree in Computer Science or related fields.
  • Possess a collaborative mindset and excellent communication skills.
Responsibilities:
  • Collaborate with ML engineers, data scientists, product managers, and other engineering teams.
  • Build, deploy, and scale machine learning-based systems.
  • Ensure reliability and performance in production.
  • Guide and make technical decisions regarding productionizing data science and ML models.
  • Evaluate and implement state-of-the-art tools and frameworks.
  • Mentor and be mentored by other engineers.
  • Actively participate in retrospectives to drive continuous process and culture improvement.
Apply

Related Jobs

Apply
🔥 Lead Machine Learning Engineer (Remote)
Posted 8 days ago

🧭 Full-Time

🔍 Data and technology

  • 5+ years of experience in machine learning.
  • Deep experience with current-generation ML algorithms and frameworks (e.g., XGBoost, PyTorch, TensorFlow).
  • Hands-on expertise with generative AI (e.g., fine-tuning GPT, reinforcement learning).
  • Programming skills in Python (e.g., Pandas, NumPy, PyTorch, LlamaIndex, Langchain, Haystack).
  • Experience with cloud platforms like AWS SageMaker, Databricks, GCP, Snowflake, or Azure.
  • Experience in building and maintaining large-scale ML systems in production, including data pipelines and orchestration tools (e.g., Kubernetes, Jenkins).
  • Experience with asynchronous REST API development, cloud infrastructure, and DevOps practices.
  • Familiarity with testing, troubleshooting, and triaging production issues.
  • Domain expertise in financial services, credit modeling, or healthcare analytics is a plus.

  • Develop and operationalize machine learning models by designing, building, and deploying scalable ML frameworks and pipelines.
  • Lead the development of custom models, including LLMs and traditional ML algorithms for applications such as credit risk, fraud detection, and customer insights.
  • Shape Experian's AI Platform by overseeing the creation of tools for training, fine-tuning, and deploying models, including generative AI applications.
  • Ensure robust system architecture for managing high-volume data and model evaluations.
  • Mentor a diverse team and work with stakeholders to align technical solutions with business goals.
  • Handle challenges related to model bias, fairness, and explainability while establishing best practices for development.
Posted 8 days ago
Apply
Apply
🔥 Lead Machine Learning Engineer
Posted 12 days ago

🧭 Full-Time

🔍 Healthcare

  • 5+ years experience as a Machine Learning Engineer or similar role.
  • Track record of working cross functionally with Engineering, Data, Product, and UX.
  • Experience with Large Language Models (GPT, Gemini, Claude, etc.) and LLM frameworks (Langchain).
  • Strong understanding of machine learning algorithms, statistical models, and data mining techniques.
  • Proficiency in Python and SQL.
  • Familiarity with common machine learning tools and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Excellent communication and collaboration skills.

  • Design, develop, and implement machine learning models and algorithms to solve complex problems that will directly impact the success and growth of our organization.
  • Drive tangible value for our practitioners and patients by developing the best integrative care platform.
  • Simplify the practitioner workflow through treatment plan recommendations.
  • Provide personalized product recommendations based on individual needs and timing.
  • Collaborate with Data and Engineering teams to establish ML infrastructure.
Posted 12 days ago
Apply
Apply
🔥 Lead Machine Learning Engineer, Bidding Intelligence
Posted about 1 month ago

📍 California, Colorado, Idaho, Illinois, Georgia, Missouri, Nevada, New Jersey, New York, Oregon, Rhode Island, Texas, Utah, Washington, Canada

🧭 Full-Time

💸 225000.0 - 315000.0 USD per year

🔍 Mobile industry

  • 10+ years of industry experience in Machine Learning, Software Engineering and/or Infrastructure
  • 5+ years of industry experience applying Machine Learning to large scale problems
  • Very strong coding ability
  • Good team communication and collaboration skills
  • B.S. or higher in Computer Science (PhD is a plus)

  • Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
  • Work with an experienced team of ML, Software, and Infrastructure Engineers
  • Design, engineer & implement reliable, scalable, and cost-efficient systems
  • Achieve core business objectives by enabling next generation ML models and technologies
  • Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWSMachine LearningPyTorchSoftware Engineering

Posted about 1 month ago
Apply
Apply
🔥 Lead Machine Learning Engineer, Bidding Intelligence
Posted about 1 month ago

📍 US, Canada

🧭 Full-Time

🔍 Mobile industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising PlatformsBig DataMobile AdvertisingApp MarketingAd RetargetingMobileAd Network

  • 10+ years of industry experience in Machine Learning, Software Engineering and/or Infrastructure.
  • 5+ years of industry experience applying Machine Learning to large scale problems.
  • Very strong coding ability.
  • Good team communication and collaboration skills.
  • B.S. or higher in Computer Science (PhD is a plus).

  • Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second.
  • Work with an experienced team of ML, Software, and Infrastructure Engineers.
  • Design, engineer & implement reliable, scalable, and cost-efficient systems.
  • Achieve core business objectives by enabling next generation ML models and technologies.
  • Utilize vendor-based products and open source technologies.

AWSPythonSoftware DevelopmentMachine LearningPyTorch

Posted about 1 month ago
Apply
Apply
🔥 Lead Machine Learning Engineer (Canada Remote)
Posted 2 months ago

📍 Canada

🔍 Healthcare

  • Experience in machine learning and data engineering.
  • Strong programming skills.

  • Play a crucial role in shaping integrative care through machine learning.
  • Leverage mission and extensive data resources.
  • Revolutionize the field of integrative care using cutting-edge techniques.

LeadershipPythonArtificial IntelligenceData AnalysisData MiningJavaJavascriptKerasMachine LearningNumpyPeople ManagementPyTorchCross-functional Team LeadershipAlgorithmsGoTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2 months ago
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

Posted 5 months ago

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

How to Balance Work and Life While Working Remotely

Posted 5 months ago

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Weekly Digest: Remote Jobs News and Trends (August 11 - August 18, 2024)

Posted 5 months ago

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

How to Onboard Remote Employees Successfully

Posted 5 months ago

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.

Remote Work Statistics and Insights for 2024

Posted 5 months ago

The article explores the current statistics for remote work in 2024, covering the percentage of the global workforce working remotely, growth trends, popular industries and job roles, geographic distribution of remote workers, demographic trends, work models comparison, job satisfaction, and productivity insights.