Senior Machine Learning Engineer

Posted 19 days agoViewed

View full description

💎 Seniority level: Senior, 7+ years of professional engineering experience

📍 Location: United States

💸 Salary: 140000.0 - 200000.0 USD per year

🔍 Industry: Visual Media industry

🏢 Company: PhotoShelter👥 11-50💰 Private about 3 years agoInternet Advertising E-Commerce Photography Software

⏳ Experience: 7+ years of professional engineering experience

🪄 Skills: AWSPythonData AnalysisData MiningMachine LearningMLFlowPyTorchSparkTensorflow

Requirements:

7+ years of professional engineering experience.
4+ years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, TensorFlow).
4+ years of work experience in classification, regression, clustering, natural language processing, experiments, and optimization.
Expertise with training and fine-tuning computer vision models.
Experience with ensemble learning and AI decision making.
Willingness to get hands on with model improvement and decision making systems.
Experience with data labeling software and best practices.
Familiarity with vector/embedding.
Familiarity with Python and best practices.
Passion for experimentation to support continuous improvement.

Responsibilities:

Help define ML system requirements for experimentation and production services.
Define internal quality processes in the team including testing methodologies and data collection.
Identify improvement opportunities such as automating manual processes and cost reduction.
Mentor/guide existing stakeholders and engineers.
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks.
Identify differences in data distribution that could potentially affect model performance in real-world applications.
Ensure algorithms generate accurate user recommendations.
Monitor and stay updated with industry trends and emerging technologies to identify opportunities for innovation and improvement.

Apply

Related Jobs

Apply

🔥 Senior Machine Learning Engineer

Posted 15 days ago

📍 US

🧭 Full-Time

💸 170000.0 - 180000.0 USD per year

🔍 SMS cloud communications

Around 5 years of experience with statistics and machine learning algorithms.
Experience in production environments for building and improving ML models.
Skilled in programming languages like Python, R, or Scala.
Familiarity with frameworks like PyTorch or TensorFlow.
Proficient with data technologies such as Spark, Presto, or Hadoop.
Solid understanding of data modeling and SQL.
Excellent communication skills for technical and non-technical stakeholders.

Design and develop data pipelines from various internal and external sources.
Build, cleanse, and audit data pipelines to ensure high-quality outputs.
Collaborate with engineers to implement robust data infrastructure.
Build and deploy machine learning models, leading all phases of development.
Use NLP and machine learning to enhance messaging.
Develop user metrics and KPIs for product improvements.
Serve as a thought leader in data-driven capabilities.

PythonSQLAgileHadoopMachine LearningPyTorchProduct DevelopmentBusiness OperationsAlgorithmsData engineeringData scienceSparkTensorflowCommunication SkillsCollaborationProblem SolvingScala

Posted 15 days ago

Apply

🔥 Senior Machine Learning Engineer, ML Understanding

Posted 16 days ago

📍 United States

🧭 Full-Time

💸 216700.0 - 303400.0 USD per year

🔍 Technology, Machine Learning

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNews Content Social Network Social Media

5+ years of relevant MLE experience in natural language processing, deep learning, and AI model development.
Strong background in Python programming and deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
Expertise in distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources.
Proficiency in data preprocessing, tokenization, embeddings, and language modeling techniques.
Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams.

Design, develop, and optimize large language models for various natural language processing tasks.
Implement and maintain training pipelines, leveraging distributed training and optimizing for performance and efficiency.
Collaborate with cross-functional teams to gather requirements, define model architectures, and iterate on model development.
Conduct model evaluations, performance analysis, and optimization to improve model accuracy and reduce biases.
Stay up-to-date with the latest research and advancements in the field of natural language processing.
Contribute to the development of best practices and ethical AI principles.

PythonMachine LearningPyTorchTensorflowCollaboration

Posted 16 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted 23 days ago

📍 United States

💸 180000 - 220000 USD per year

🔍 Healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 7 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

5+ years of experience in machine learning engineering or MLOps roles.
Strong proficiency in Python and SQL, experience in machine learning libraries like scikit-learn and PyTorch, and data manipulation tools such as pandas.
Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.
Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.
Experience with cloud platforms (preferably AWS) and their machine learning services.
Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.
Strong understanding of data engineering and architecture principles.
Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Develop, deploy, and maintain machine learning models and pipelines in production environments.
Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform.
Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.
Optimize model performance and scalability, ensuring high reliability and efficiency.
Build tools to improve the lives of our data scientists.
Contribute to the design and architecture of our ML systems.

AWSDockerPythonSQLKubernetesMachine LearningPyTorchData engineeringPandasCommunication SkillsCollaborationCI/CDTerraform

Posted 23 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted about 1 month ago

📍 United States

🔍 Financial, Retail, High Tech, Healthcare, and Retail

🏢 Company: Accellor

Strong software engineering skills, particularly in Python
Experience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and Airflow
Familiarity with LLMs, RAG, Langchain, and developing AI applications
Proficiency in AWS and experience deploying applications on cloud platforms
Solid understanding of database schema design and querying
Bachelor’s degree in Computer Science

Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AI
Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniques
Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive development
Collaborating closely with analytics and data teams and business stakeholders to align on requirements and objectives
Contributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutions

AWSPythonMachine LearningAirflowCommunication SkillsCollaboration

Posted about 1 month ago

Apply

🔥 Senior Machine Learning Engineer

Posted about 1 month ago

📍 United States

🔍 AI in the legal field

🏢 Company: Yalent👥 10-50

4-5 years of experience in applied machine learning or a related field.
Strong proficiency in Python and its ML/data science libraries.
Extensive experience with NLP techniques and generative AI technologies.
Experience with LLMs and both text-to-text and text-to-image generative models.
Proficiency in working with large datasets and creating ETL processes.
Experience with version control systems (e.g., Git) and CI/CD practices.
Ability to work in a fast-paced, changing startup environment.

Collaborate with stakeholders to identify and map business problems to ML solutions.
Design, develop, and implement ML models focused on NLP and generative AI applications.
Curate, clean, and prepare data for model development and training.
Create and maintain ETL jobs for data processing.
Conduct rapid prototyping of ML solutions to quickly iterate on ideas.
Stay current with the latest advancements in ML, particularly in NLP and generative AI.
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture.
Implement data flywheels to continuously improve ML features through increased usage.
Define and implement ML performance metrics.
Contribute to the product roadmap with ML-driven feature ideas.
Be an essential technical contributor at a Series B-stage company as it scales.

PythonETLGitMachine LearningData scienceCI/CD

Posted about 1 month ago

Apply

🔥 Senior Machine Learning Engineer

Posted about 1 month ago

📍 United States

🔍 Property Insurance

🏢 Company: SageSure👥 501-1000💰 $250,000,000 Private over 1 year agoResidential Property Insurance Real Estate

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
5-7 years of experience as an MLOps Engineer or similar role.
Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Experience in deploying machine learning models in production environments and managing model lifecycle.
Excellent problem-solving skills and ability to work independently as well as part of a team.
Strong communication skills and ability to collaborate effectively with cross-functional teams.

Design and implement robust, scalable, and efficient data pipelines for training machine learning models.
Develop prediction pipelines to ensure seamless integration of trained models into production environments.
Create APIs and microservices to facilitate communication between machine learning models and other software modules.
Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments.
Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time.
Optimize orchestration processes to ensure efficient deployment and management of ML models.
Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.

AWSDockerCloud ComputingGCPKubeflowKubernetesMachine LearningMLFlowPyTorchAirflowAzureTensorflowCommunication SkillsMicroservices

Posted about 1 month ago

Apply

🔥 Senior Machine Learning Engineer

Posted about 1 month ago

📍 United States

🧭 Full-Time

🔍 Insurtech

🏢 Company: Reserv👥 101-250💰 $20,000,000 Series A about 1 year agoConsulting Financial Services Insurance

8+ years of experience as a data scientist with a robust portfolio demonstrating high-quality product delivery.
Experience in running end-to-end experiments including dataset setup, developing controls, conducting hypothesis tests, and evaluating outcomes.
Expertise in Python and libraries such as Pandas, LangChain, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
Strong software engineering foundation with commitment to high-quality, maintainable code.
Proven ability to stay updated with state-of-the-art techniques through research.
Strong prioritization of customer requirements and adaptability to evolving project scopes.
Passionate about creating intuitive technology solutions.

Develop and integrate AI models and machine learning solutions using Python and AWS.
Collaborate with product management and operations to identify and prioritize machine learning opportunities.
Design, test, and deploy scalable machine learning architectures for rapid iteration and secure deployment.
Guide the creation and implementation of heuristic and complex machine learning models.
Mentor junior data scientists and support customer developers.
Continuously deploy code and influence engineering culture.
Communicate technical ideas clearly.
Engage with cross-functional teams as the product and engineering teams expand.
Support the engineering function globally.

AWSDockerPythonMachine LearningNumpyProduct ManagementPyTorchRubyRuby on RailsData sciencePostgresPandasTensorflow

Posted about 1 month ago

Apply

🔥 Senior Machine Learning Engineer, Data Driven Simulation

Posted 2 months ago

📍 US

🧭 Full-Time

💸 177300 - 212800 USD per year

🔍 Autonomous vehicle technology

🏢 Company: Torc Robotics👥 501-1000 Robotics Autonomous Vehicles Software

BS, MS, or PhD in computer vision, machine learning, computer science, computer engineering or related fields.
5+ years of software development experience or a PhD in machine learning or related field.
Strong experience in Python and libraries such as Numpy, SciPy, Pandas, and Matplotlib.
Experience with deep learning frameworks like PyTorch or TensorFlow.
Expert knowledge in applied Deep Learning principles and algorithms.
Experience with 3D Computer Vision and rendering algorithms.
Track record of building and shipping products or open-source projects.

Shape the data for autonomous trucking by contributing to the perception simulation pipeline.
Apply state of the art approaches for Neural Rendering in a scalable production setting.
Advance modern simulation techniques with ML and computer vision.
Integrate neural rendering framework in a cloud environment.
Develop sensor models for camera, LIDAR and RADAR.

LeadershipPythonSoftware DevelopmentAgileMachine LearningNumpyPyTorchSCRUMC#C++AlgorithmsPandasTensorflow

Posted 2 months ago

Apply

🔥 Senior Machine Learning Engineer

Posted 2 months ago

📍 US

🧭 Full-Time

💸 140000 - 170000 USD per year

🔍 SaaS for public relations and communications

🏢 Company: Muck Rack👥 251-500💰 $180,000,000 Series A over 2 years agoInformation Services Public Relations Media and Entertainment Journalism SaaS Software

5+ years total professional experience building Machine Learning products within user-facing software apps.
Capacity for a high degree of autonomy and out-of-the-box thinking.
Commitment to collaborating closely with other engineers and across functions.
Experience with text modeling, NLP, and large language models is a plus.
Experience serving GPU-intensive models in large-scale production environments is desirable.

Work closely with data scientists, software engineers, product managers, and designers.
Develop Machine Learning technologies to simplify user jobs.
Work on major technical projects involving large data volumes.
Lead the building of new features.
Help shape engineering culture and processes.

PythonSoftware DevelopmentSQLElasticSearchGitMachine LearningNLTKNumpyAlgorithmsGoPandasCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailWritten communication

Posted 2 months ago

Apply

🔥 Senior Machine Learning Engineer - Generative Models (Remote)

Posted 2 months ago

📍 U.S.

🧭 Full-Time

💸 165000 - 206000 USD per year

🔍 Music and Audio Technology

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D almost 4 years agoMedia and Entertainment Music Machine Learning Software

Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
Proven track record in designing, training, evaluating, and deploying ML models in production.
2+ years of hands-on experience with generative model architectures in audio, image, or language domains.
Specific experience with Latent Diffusion Models and Transformer-based architectures.
Proficiency in Python, C/C++, or CUDA and strong skills in ML frameworks like TensorFlow and PyTorch.
Experience with cloud services such as AWS, Azure, or GCP and containerization technologies like Docker and Kubernetes.
Familiarity with software development best practices and version control systems, e.g., Git.

Design, adapt, and optimize cutting-edge model architectures for generative audio/music applications.
Collaborate with Applied Researchers and ML Engineers to design, train, fine-tune, and deploy scalable models.
Explore and implement core building blocks in generative models such as VAEs, Neural Audio Codecs, GANs, and Transformers.
Integrate ML models into Splice’s products to enhance experiences for music creators.
Conduct performance benchmarking and evaluation to assess accuracy and quality of models.
Stay updated with advancements in machine learning and share insights with the team.
Document experiments and provide technical guidance to team members.

AWSDockerPythonSoftware DevelopmentArtificial IntelligenceGCPGitKubernetesMachine LearningPyTorchC++AzureTensorflowCollaboration

Posted 2 months ago

Apply

Senior Machine Learning Engineer

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities