Apply

Machine Learning Engineer

Posted 4 months agoViewed

View full description

πŸ’Ž Seniority level: Senior, 5+ years of related work experience or a Master's degree

πŸ“ Location: United States

πŸ’Έ Salary: 160000 - 190000 USD per year

πŸ” Industry: Interior design and ecommerce

🏒 Company: HavenlyπŸ‘₯ 251-500πŸ’° about 3 years agoHome DecorConsumerE-CommerceInterior Design

πŸ—£οΈ Languages: English

⏳ Experience: 5+ years of related work experience or a Master's degree

πŸͺ„ Skills: AWSPythonSQLAgileData AnalysisGCPImage ProcessingKerasMachine LearningSnowflakeData engineeringData scienceTensorflowCommunication Skills

Requirements:
  • Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS).
  • Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn.
  • Strong understanding of Neural Networks and their applications.
  • Strong understanding of SQL and experience with data warehouses such as Snowflake or BigQuery.
  • Experience with image processing in ML models.
  • Demonstrated ability to perform data engineering tasks including data access, transformation, modeling, and storage.
  • Solid foundation in machine learning, statistics, and data analysis.
  • Innovative mindset for applying machine learning and data science methods.
  • Excellent communication skills.
Responsibilities:
  • Research and apply advanced data science and machine learning techniques to build recommendation systems, enhance chat workflows, and predict trends.
  • Work as part of an agile team to identify opportunities leveraging proprietary data for data-driven tools.
  • Develop, train, and deploy machine learning models to enhance customer experiences and designer workflows.
  • Conduct exploratory analysis to develop new features and engage in data engineering tasks for machine learning.
Apply

Related Jobs

Apply

πŸ“ Canada, United Kingdom, United States

🧭 Full-Time

πŸ” Technology, Home Automation, Energy Management

🏒 Company: ecobeeπŸ‘₯ 501-1000πŸ’° $36,309,727 Series C over 6 years agoπŸ«‚ Last layoff almost 5 years agoConsumer ElectronicsInternet of ThingsEnergy Management

  • Graduate degree (Masters/PhD) or equivalent experience in Statistics, Mathematics, Computer Science, or another quantitative field.
  • 3+ years’ experience applying machine learning to real-world problems.
  • Proven software engineering skills across multiple languages such as Python, C/C++, and ML packages.
  • Experience with deep learning architectures and frameworks (e.g. Pytorch, Tensorflow).
  • Experience working with data at scale (1TB+) using big data processing frameworks.
  • 3+ years experience with software engineering and DevOps practices.
  • Strong understanding of Scrum/Agile development technologies.
  • Build ML features on structured and unstructured content.
  • Manage the full ML development life cycle from problem framing to maintenance.
  • Design and deploy large-scale machine learning products.
  • Determine feasibility of initiatives through quick prototyping.
  • Collaborate with cross-functional teams to build new product features.
  • Drive best practices in ML Engineering and mentor other engineers.

PythonMachine LearningPyTorchC++SparkTensorflow

Posted 5 days ago
Apply
Apply

πŸ“ United States

πŸ” Artificial Intelligence

🏒 Company: Wealth Recruitment, LLC

  • Master’s Degree or higher in Mathematics or a related field.
  • Exceptional attention to detail and analytical skills.
  • Strong written and verbal communication in professional-level English.
  • Excellent time management and organizational abilities.
  • Proficiency with basic software tools.
  • Data Annotation – Accurately label and tag data to enhance machine learning model performance.
  • Prompt Generation – Craft engaging, clear, and effective prompts for AI training and educational purposes.
  • Response Evaluation – Assess AI-generated outputs to ensure accuracy, relevance, and quality.
  • Quality Assurance – Review and refine work meticulously to maintain data integrity and consistency.
  • Data Processing – Manage large datasets efficiently while adhering to high-quality standards.

Machine LearningAnalytical SkillsQuality Assurance

Posted 5 days ago
Apply
Apply

πŸ“ United States

πŸ” Artificial Intelligence

🏒 Company: Wealth Recruitment, LLC

  • Master’s Degree or higher in Medicine or a related field.
  • Exceptional attention to detail and analytical skills.
  • Strong written and verbal communication in professional-level English.
  • Excellent time management and organizational abilities.
  • Proficiency with basic software tools.
  • Data Annotation – Accurately label and tag data to enhance machine learning model performance.
  • Prompt Generation – Craft engaging, clear, and effective prompts for AI training and educational purposes.
  • Response Evaluation – Assess AI-generated outputs to ensure accuracy, relevance, and quality.
  • Quality Assurance – Review and refine work meticulously to maintain data integrity and consistency.
  • Data Processing – Manage large datasets efficiently while adhering to high-quality standards.

Machine LearningQuality Assurance

Posted 5 days ago
Apply
Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 185800.0 - 260100.0 USD per year

πŸ” Technology / Online Community / Social Media

🏒 Company: RedditπŸ‘₯ 1001-5000πŸ’° $410,000,000 Series F over 3 years agoπŸ«‚ Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

  • 2+ years of experience with deep learning models.
  • 2+ years of experience with mainstream ML frameworks like Tensorflow and Pytorch.
  • 3+ years of experience in training, evaluating, testing, and deploying models.
  • 3+ years of experience with large-scale data generation pipelines.
  • Experience in ads domain and conversion modeling is a plus.
  • Experience with recommendation systems is a plus.
  • Develop advanced and scalable deep learning models for app conversions.
  • Design strategies for signal loss mitigation to ensure prediction accuracy.
  • Research, implement, and launch new model architectures.
  • Perform feature engineering on various raw data types.
  • Mentor team members and advocate for cross-functional collaboration.
  • Contribute to team strategy and planning.

Machine LearningPyTorchTensorflow

Posted 8 days ago
Apply
Apply

πŸ“ Canada, Latin America, Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington

πŸ’Έ 140000.0 - 220000.0 USD per year

πŸ” Retail AI

🏒 Company: Lily AI

  • 10+ years in building large-scale machine learning solutions and ML Ops practices.
  • Working with LLM APIs and serving LLMs in-house at scale.
  • Proficiency in Kubernetes, RDBMS, and API-driven development.
  • Experience in model serving in low-latency, high-throughput use cases.
  • Knowledge of observability, data pipeline design, service scaling, and cost optimization.
  • Strong emphasis on code hygiene, including review, documentation, testing, and CI/CD practices.
  • Proficiency in Python and PyTorch.
  • Extensive experience with the scientific Python ecosystem.
  • Proficiency in cloud-native application development.
  • Action-oriented with the ability to articulate complex concepts.
  • Define, design, and maintain scalable Machine Learning data pipelines, training infrastructure, and inference systems.
  • Optimize, benchmark, and productionize deep learning models to extract high-value product attributes.
  • Drive cost efficiency and throughput improvements, owning relevant KPIs.
  • Promote and implement software engineering best practices across the team.
  • Shape and evolve the technical stack to meet business and technical needs.
  • Transition research prototypes into robust, production-ready systems.
  • Deploy, monitor, and continuously improve models in production environments.
  • Optimize model performance, focusing on memory usage and latency.
  • Automate workflows by building efficient pipelines and orchestration frameworks.
  • Develop tools and shared libraries to boost team productivity.

PythonKubeflowKubernetesMachine LearningMLFlowPyTorchAzure

Posted 10 days ago
Apply
Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 150000.0 - 190000.0 USD per year

πŸ” Sports gaming

🏒 Company: Underdog Sports

  • At least 5 years of experience with low latency systems in cloud environments (AWS, GCP, Azure).
  • Advanced proficiency in C/C++, Rust, or Go.
  • Familiarity with SQL.
  • Strong proficiency with SageMaker, Databricks or similar ML platforms.
  • Knowledge of statistical concepts including univariate/bivariate distributions, regression, and binomial models.
  • Experience with data streaming frameworks such as Apache Kafka, Flink, or Kinesis.
  • Familiarity with containerization and orchestration (Docker, Kubernetes, ECS).
  • Excellent leadership and communication skills for collaboration with stakeholders.
  • Developing and designing low latency Machine Learning inference systems for real-time updates.
  • Building internal tools and services to accelerate model building and deployment.
  • Writing sophisticated and fast application code for data science infrastructure.
  • Building frameworks to measure and analyze model performance and accuracy in production.
  • Mentoring junior engineers and leading technical initiatives.
  • Conducting code reviews and promoting best practices for code and data quality.
  • Staying current on emerging ML technologies and implementing them into systems.

AWSDockerSQLKubernetesMachine LearningC++Apache KafkaGoRust

Posted 14 days ago
Apply
Apply

πŸ“ US

🧭 Full-Time

πŸ’Έ 200000.0 - 290000.0 USD per year

πŸ” Telecommunications and technology

🏒 Company: TwilioπŸ‘₯ 5001-10000πŸ’° $378,215,525 Post-IPO Equity over 3 years agoπŸ«‚ Last layoff about 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 10+ years hands-on experience in engineering with production-grade code.
  • 3+ years of research experience in professional or academic settings.
  • Experience evaluating ML model performance and enhancements.
  • Collaboration experience with ML engineers, data scientists, or ML researchers.
  • Experience building and operating ML models in production.
  • Passion for emerging technologies and staying updated.
  • Proven ability to ship products to production and iterate based on customer feedback.
  • Exceptional collaboration skills.
  • Strong customer focus.
  • Excellent written and verbal communication skills.
  • Research new ML and AI technologies and tools.
  • Build prototypes to further research and test them with customers.
  • Collaborate with data scientists, engineers, and developers to integrate AI models into existing systems.
  • Work closely with product, design, and marketing teams to prioritize customer needs.
  • Acquire new technical skills rapidly in a fast-paced environment.
  • Influence discussions on AI integration within Twilio.
  • Embody experimentation practices in projects and research.

PythonArtificial IntelligenceData AnalysisMachine LearningPyTorchTensorflowCollaborationPrototyping

Posted 20 days ago
Apply
Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 185800.0 - 322000.0 USD per year

πŸ” Technology, Internet Services

🏒 Company: RedditπŸ‘₯ 1001-5000πŸ’° $410,000,000 Series F over 3 years agoπŸ«‚ Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

  • 3-10+ years of industry experience as a machine learning engineer or software engineer developing backend/infrastructure at scale.
  • Experience building machine learning models using PyTorch or Tensorflow.
  • Experience with search & recommender systems and pipelines.
  • Production-quality code experience with testing, evaluation, and monitoring using Python and Golang.
  • Familiarity with GraphQL, REST, HTTP, Thrift, or gRPC and design of APIs.
  • Experience developing applications with large scale data stacks such as Kubeflow, Airflow, BigQuery, Kafka, Redis.
  • Develop and enhance Search Retrievals and Ranking models.
  • Design and build pipelines and algorithms for user answers.
  • Collaborate with product managers, data scientists, and platform engineers.
  • Develop and test new pipeline components and deploy ML models.
  • Ensure high uptime and low latency for search systems.

GraphQLPythonKafkaKubeflowMachine LearningPyTorchAirflowRedisTensorflow

Posted 22 days ago
Apply
Apply

πŸ“ USA, Europe

🧭 Full-Time

πŸ’Έ 167000.0 - 269000.0 USD per year

πŸ” AI, cybersecurity, life sciences, financial services

🏒 Company: SandboxAQπŸ‘₯ 101-250πŸ’° $25,000,000 Grant 3 months agoArtificial Intelligence (AI)SaaSInformation TechnologyCyber Security

  • Proven experience working as an ML Engineer.
  • Experience with rapid prototyping for ML algorithms.
  • Familiarity with common ML tools such as TensorFlow, Keras, PyTorch.
  • Proficiency in programming languages like Python and C++.
  • At least 5 years of proven experience working as an ML Engineer (nice to have).
  • Experience with unsupervised learning and data visualization.
  • Experience with MLOps frameworks for large dataset processing.
  • Solid understanding of computer science, cryptography, and cybersecurity principles (nice to have).
  • Project management experience (nice to have).
  • Excellent communication skills and ability to work in a startup environment (nice to have).
  • Be the ML team tech lead, leading projects and influencing technical decisions.
  • Potentially manage the growth and career of ML team members.
  • Work with product and engineering teams to decide on ML functionalities.
  • Design, develop, and implement end-to-end machine learning solutions.
  • Collaborate with other ML and engineering team members for integration.
  • Analyze large-scale security data including network traces, filesystems, and logs.
  • Optimize and fine-tune machine learning models for performance.
  • Conduct research on ML advancements applied to cybersecurity.
  • Perform testing and validation of ML models for reliability.

PythonCybersecurityData AnalysisKerasMachine LearningPyTorchData visualization

Posted 22 days ago
Apply
Apply

πŸ“ US

🧭 Full-Time

πŸ’Έ 150000.0 - 224000.0 USD per year

πŸ” Real-time business communications and data solutions

🏒 Company: TwilioπŸ‘₯ 5001-10000πŸ’° $378,215,525 Post-IPO Equity over 3 years agoπŸ«‚ Last layoff about 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 5+ years of experience in data engineering, applied machine learning, and software engineering.
  • Proven ability to develop and deploy AI pipelines and models leveraging NLP and GenAI applications.
  • Strong collaboration skills to work across product, program, analytics, and engineering teams.
  • Experience with advanced technical stack: Python, SQL, R, AWS (Sagemaker, Lambda, etc.), MySQL, Airtable, and relevant libraries.
  • Familiarity with enterprise data sources like Salesforce and Zendesk.
  • Knowledge of large language models and related technologies.
  • Develop and deploy AI/ML models leveraging NLP and GenAI-powered applications.
  • Collaborate closely with product, program, analytics, and engineering teams to implement and refine machine learning and forecasting models.
  • Utilize technical stack including Python, SQL, AWS, and libraries like Pandas and NumPy for scalable AI/ML solutions.
  • Integrate enterprise data sources like Salesforce and Zendesk for model enhancement.
  • Apply knowledge of large language models (LLMs) to create innovative solutions.

AWSPythonSQLKerasMachine LearningNumpyData engineeringPandas

Posted 25 days ago
Apply