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Machine Learning Engineer
Posted 4 days agoViewed
🏢 Company: Dstillery👥 101-250💰 $5,900,000 Series D almost 6 years agoInternetArtificial Intelligence (AI)AdvertisingMarket ResearchPredictive AnalyticsMachine LearningAnalyticsMarketingData Visualization
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🔥 Lead Machine Learning Engineer, Infrastructure
Posted 1 day ago
📍 United States
🧭 Full-Time
💸 175500.0 - 277500.0 USD per year
🔍 Software Development
- Passion for ML Infrastructure: We value enthusiasm for advancing ML infrastructure.
- Proven Impact: Show us your track record of delivering impactful solutions.
- Innovative Thinker: Bring creativity and fresh ideas to the table.
- Technical Proficiency: Solid foundation in software engineering and ML concepts.
- Collaborative Mindset: Strong communication and teamwork skills are a must.
- Continuous Learner: Stay updated with the latest advancements in the field.
- Problem-Solving Skills: Ability to tackle complex problems effectively.
- Adaptability: Thrive in a fast-paced, dynamic environment.
- Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
- Develop and maintain frameworks, libraries, and tools to streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
- Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
- Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
- Stay current with the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate them into our platform to drive innovation.
- Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.
AWSDockerLeadershipPythonSoftware DevelopmentSQLCloud ComputingKubernetesMachine LearningAlgorithmsAPI testingData engineeringData scienceData StructuresCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsMentoringAdaptabilitySoftware Engineering
Posted 1 day ago
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🔥 Senior Machine Learning Engineer - US Remote
Posted 2 days ago
Self-driven individual with exceptional leadership and communication abilities
- Design, implement, and deploy ML models that directly impact our product and customers
- Collaborating closely with cross-functional teams to drive data-driven decision-making and innovation
Posted 2 days ago
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🔥 Lead Machine Learning Engineer – AI/ML (Remote Work Option)
Posted 2 days ago
📍 United States
💸 119400.0 - 267500.0 USD per year
🔍 Software Development
- 5+ years of professional experience in software engineering, data engineering, machine learning, or related field
- Experience in Python
- Hands-on AWS experience
- Experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR)
- Experience with data structures, data modeling and software architecture
- Experience with complex data sets, ETL pipelines, SQL, and general data engineering
- Expertise with cloud architecture and technologies, in particular Amazon Web Services
- Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable
- Expertise with agile development and test driven development
- Develop robust advanced analytics and machine learning solutions that have a direct impact on the business
- Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact
- Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development
- Provide technical vision and guidance to your teammates
- Own projects end-to-end - from conception to operationalization
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Posted 2 days ago
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🔥 Full-Stack & Machine Learning Engineer
Posted 2 days ago
📍 Philippines, India
🔍 Software Development
🏢 Company: Arya
- Expert in Svelte and able to build high-performance front-end systems.
- Experience with AI-driven automation, predictive analytics, and optimization algorithms.
- Hands-on experience with AWS, scalable infrastructure, and cloud-based applications.
- Build intelligent systems for predictive analytics, anomaly detection, and AI-powered optimizations.
- Create fast, dynamic, and interactive user experiences to visualize complex data.
- Engineer scalable cloud-based solutions using Node.js, Python, or Go.
Posted 2 days ago
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🔥 Senior Machine Learning Engineer
Posted 3 days ago
📍 Canada, United Kingdom, India
🧭 Full-Time
🔍 Software Development
🏢 Company: Loopio Inc.
- Experience in a high-growth agile software development environment
- Experience developing machine learning-driven applications
- Interest and have done work in statistical modeling and machine learning
- A good understanding of ETL, data warehousing, data modeling and data architecting
- The knowledge to work with data scientists and translate proof of concept models into production strength systems
- Development skills in Python, relational databases such as MySQL or PostgreSQL, NoSQL databases, e.g., Redis or Cassandra, data processing frameworks such as Spark (DataBricks) or Presto (AWS Athena), and deep learning frameworks such as TensorFlow / Pytorch, Kinesis and Lambda
- The ability to take projects on from early concept to a finalized production solution
- Experience with microservice architectures
- Strong test automation skills (unit and functional)
- Working closely with Product Managers, Software Developers, and Data Scientists to design, build, maintain and optimize our data management and machine learning applications
- Develop software to deliver and integrate machine learning product capabilities into our platform through REST services
- Keep up with the latest ML Technologies and advancements and find ways to incorporate them into our existing solutions where applicable
- Build data processing pipelines supporting data analysis and machine learning tasks, and automate data pipelines in production
- Perform code reviews and add automated testing to ensure software quality is high
- Collaborating with some of the brightest minds in the field and leveraging state of the art technologies in Python, ML/DL/NLP and cloud on a daily basis
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Posted 3 days ago
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🔥 Senior Machine Learning Engineer
Posted 3 days ago
📍 United States
🧭 Full-Time
💸 133000.0 - 151000.0 USD per year
🔍 Software Development
🏢 Company: Infinite Reality👥 101-250💰 $350,000,000 8 months agoMedia and EntertainmentWeb3Metaverse
- MS or PhD in Computer Science, Machine Learning, or a related field.
- 6+ years in machine learning, focusing on systems for procedural content generation and working with LLMs to create scalable virtual environments.
- Proficient in 3D graphics programming and procedural content generation, handling assets like models, textures, shaders, and particle systems.
- Experience in both frontend (React, Three.js, WebGL) and backend (Node.js, MySQL) development, enabling seamless integration of AI-driven procedural generation into interactive 3D worlds.
- Ability to optimize complex systems for performance and scalability, ensuring AI-powered world-building systems perform seamlessly with large datasets.
- Skilled in scripting languages such as Python, Bash, or JavaScript, enabling automation of key tasks and workflows in the world-building process.
- Experience working in cross-disciplinary teams, mentoring, and leading by example to promote best practices in world-building, procedural generation, and AI integration.
- Strong analytical skills to tackle complex technical challenges in 3D graphics, procedural content generation, or system performance.
- Commitment to continuous learning and integrating the latest developments in AI, machine learning, 3D graphics, and procedural generation into the team's work.
- Develop systems utilizing LLMs to autonomously create 3D environments, handling assets like models, shaders, and particle systems.
- Collaborate with technical artists and engineers to build pipelines ensuring seamless integration of diverse 3D assets into the procedural generation process.
- Ensure world-building systems are scalable and performant, capable of handling large datasets and multiple interactions while maintaining high-quality environments.
- Work with engineers, data scientists, technical artists, and designers to implement innovative solutions for dynamic virtual worlds, ensuring technical integration across teams.
- Lead the adoption of emerging technologies in generative AI and procedural content creation, integrating the latest advancements into our platform.
- Address complex technical challenges related to performance, AI systems, asset rendering, and procedural generation pipelines to ensure efficient world-building processes.
AWSBackend DevelopmentNode.jsPythonCloud ComputingFrontend DevelopmentGCPMachine LearningMySQLReact.jsUnity3DAlgorithmsAzureBlenderData scienceUnreal engineProblem SolvingScripting
Posted 3 days ago
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🔥 Machine Learning Engineer
Posted 3 days ago
🔍 Software Development
🏢 Company: Techie Talent👥 51-100ConsultingInformation TechnologySoftware
- Strong experience in Python for ETL, data modeling, API development, and Bash scripting
- Proficient in SQL (PostgreSQL, MySQL)
- Experience with FastAPI
- Skilled in using Requests/HTTPx for consuming external APIs
- Familiar with Postman for API testing and documentation
- Solid knowledge of PostgreSQL and SQLAlchemy for ORM in Python
- Experience with VPN & SSH
- Proficient in Docker for containerizing models and services
- Skilled in using NGINX/Traefik for serving APIs in production
- GitHub Actions/Jenkins for CI/CD
- Makefile for automating development tasks
- Experience with OAuth/JWT for API authentication, Vault (HashiCorp) for managing sensitive credentials, and Fail2Ban for securing remote access
- Familiarity with Kubernetes and Terraform/Ansible is a plus
- Develop and maintain software solutions
- Work with a varied technology stack
- Ensure products are functional, efficient, reliable, and scalable
Posted 3 days ago
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🔥 Machine Learning Engineer
Posted 3 days ago
🔍 Healthcare
🏢 Company: Clover Health👥 501-1000💰 $300,000,000 Post-IPO Equity over 3 years ago🫂 Last layoff almost 2 years agoMedicalHealth InsuranceHospitalHealth Care
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- You are proficient in Python and Python data science libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
- You have experience deploying Python applications in production environments.
- You have a strong foundation in feature engineering, feature selection, and AI techniques.
- You have experience interpreting, modifying, and debugging the inputs and outputs of production ML models.
- You have built and refactored distributed systems, particularly ML systems.
- Develop, debug, and optimize production ML models to enhance performance and reliability.
- Design, implement, and validate components of our high-reliability, distributed ML platforms.
- Build tools and validation processes to enable scalable translation of insights into action.
- Utilize commercial and open-source tools to create a robust, production-ready ML platform.
- Collaborate closely with Data Science and Engineering teams to ensure the ML platform delivers real value.
- Document, iterate, and create tutorials to ensure Data Scientists and Engineers can easily use your tools.
Posted 3 days ago
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🔥 Machine Learning Engineer
Posted 4 days ago
🔍 Software Development
🏢 Company: Smartling👥 101-250💰 $160,000,000 Series E over 3 years agoInformation ServicesInformation TechnologyNatural Language ProcessingContent Delivery Network
- BS+ degree in computer science, machine learning, or equivalent experience
- Fluency in Python (3+ years experience required)
- Expert-level understanding of statistics and probability
- Expert knowledge of deep learning libraries - Pytorch, Tensorflow, etc.
- Experience in data analytics with a deep understanding of statistics and the fundamental mathematics behind various ML algorithms
- Experience using various NLP techniques to solve real-world problems
- Know your way around a relational database
- Proficient in written and spoken English. It may require discussing client requirements or troubleshooting an issue
- Create assets, models and pipelines for machine learning models
- Engineer prompts, with and without fine-tuning, to work with state-of-the-art LLMs in the industry to transform and evaluate text for translation tasks
- Collaborate with product/engineering team to deliver high quality features for internal and external consumption
- Advise other teams on the feasibility and practicality of AI/ML features to add to the Smartling platform
Posted 4 days ago
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🔥 Senior Machine Learning Engineer (Remote, North America)
Posted 4 days ago
🧭 Full-Time
🔍 Software Development
🏢 Company: Vivun Inc.
- 7+ years of experience building, deploying, and operating reliable data and ML systems in production environments
- BS/MS/PhD in Computer Science, Data Science, Engineering, or a related field
- Strong proficiency in writing maintainable, production-quality Python code
- Deep knowledge of AI/ML algorithms, including clustering, supervised/unsupervised learning, natural language processing (NLP), and large language models (LLMs)
- Extensive hands-on experience writing SQL and working with databases
- Experience with AI/ML observability, monitoring, and evaluation frameworks
- Advanced understanding of CI/CD pipelines (CircleCI, Harness) and API development best practices with FastAPI
- Proven experience mentoring and guiding engineering teams, with a track record of driving complex projects in dynamic environments
- You will design and develop LLM-powered AI solutions that incorporate RAG, tool calling, structured outputs, as well as knowledge and memory management.
- You will oversee the deployment and monitoring of machine learning systems in production environments.
- You will optimize and scale inference for both real-time and batch processing, ensuring low-latency and cost-efficient AI execution.
- You are an owner of quality by evaluating models/agents, both offline and online, as well as implementing and maintaining production observability tools.
- You will build and contribute to scalable data and ML infrastructure.
- You will collaborate with cross-functional teams to align AI development with business needs.
- You are adaptable and comfortable with the ambiguity of working in a highly dynamic agentic/LLM development space, evaluating emerging technologies and methodologies to continuously enhance system performance.
- You ensure adherence to security standards and data governance best practices.
Posted 4 days ago
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