Machine Learning Engineer

Posted 2024-08-07

View full description

💎 Seniority level: Entry, Entry-level and senior positions available

📍 Location: United States, Canada

💸 Salary: $75,000.00 - $150,000.00 per year

🔍 Industry: Sports Analytics

🏢 Company: Zelus Analytics👥 51-100💰 $3.6m Series A on 2023-10-17Analytics Sports

🗣️ Languages: English

⏳ Experience: Entry-level and senior positions available

🪄 Skills: PythonSQLMachine Learning

Requirements:

Academic and/or industry experience in back-end software design and development.
Academic, industry, and/or research experience with applied mathematical and predictive modeling (statistics, machine learning, optimization, and/or simulation).
Experience with cloud infrastructure and distributed computing.
Fluency with Python (preferred), R, Scala, and/or other data-oriented and statistical programming languages.
Experience with relational databases and SQL development.
Familiarity working with Linux servers in a virtualized/distributed environment.
Strong software-engineering and problem-solving skills.

Responsibilities:

Develop, validate, and automate quantitative models using statistics, machine learning, optimization, and simulation.
Develop, schedule, monitor, and maintain model training and prediction workflows.
Coordinate with broader engineering team to plan and implement changes to core infrastructure to support one or more sports.
Collaborate with data scientists to define and manage model productionalization and platform release plans.
Deploy REST APIs on top of fitted models using distributed computation to support real-time, client-facing integration.
Collaborate and communicate effectively in a distributed work environment.
Fulfill other related duties and responsibilities, including rotating platform support.

Apply

Related Jobs

Apply

🔥 Staff Machine Learning Engineer, Ads Optimization

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 230000 - 322000 USD per year

🔍 Advertising technology

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
Experience with a cloud service provider like AWS or GCP.
Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraElasticsearchGoPostgresRedisSparkTensorflow

Posted 2024-11-21

Apply

🔥 Senior Machine Learning Engineer - Ads Retrieval

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 216700 - 303400 USD per year

🔍 Social Media/Technology

2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch.
5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset.
Prior experience with information retrieval and recommendation system.
Ads domain knowledge on product and ML solutions is a plus.

Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks.
Drive technical roadmaps and lead day to day project execution.
Contribute meaningfully to team vision and strategy.
Work on large scale data systems, backend services, and product integration.
Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.
Be a mentor and cross-functional advocate for the team.

PythonJavaMachine LearningPyTorchC++StrategyAlgorithmsGolangTensorflow

Posted 2024-11-21

Apply

🔥 Senior Machine Learning Engineer

Posted 2024-11-19

📍 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 2024-11-19

Apply

🔥 Remote Applied Machine Learning Engineer

Posted 2024-11-17

📍 United States

🧭 Full-Time

💸 100000 - 115000 USD per year

🔍 Creative services

🏢 Company: Design Pickle

3+ years of experience in data science and web application software engineering.
2+ years in building full stack applications to prove out concepts and prototypes.
2+ years of experience in building out AWS Ops architecture.
Proficiency in Python for data analysis and machine learning.
Familiarity with Pandas, Scikit, and other data science libraries.
Proficiency with Snowflake and machine learning workflows.
Knowledge of generative AI models and APIs, and experience with Gen AI prompt engineering.

Rapidly conceptualize, develop, and deploy web applications that are data-driven and leverage AI to deliver innovative solutions.
Utilize Python data science libraries such as Pandas and Scikit to process, analyze, and transform data for AI applications.
Design, implement, and integrate production-grade generative AI APIs into applications, ensuring seamless functionality and user experience.
Mentor and provide technical guidance to team members in data-centric roles.
Architect and deploy scalable data solutions supporting AI models and products, including proof-of-concept applications and production-grade APIs.

AWSPythonData AnalysisMachine LearningProduct ManagementReact.jsRubyRuby on RailsSnowflakeData analysisData sciencePandasReactCollaboration

Posted 2024-11-17

Apply

🔥 Senior Applied Machine Learning Engineer

Posted 2024-11-14

📍 United States

🔍 Wine community technology

🏢 Company: CellarTracker

5+ years of experience in data science, focusing on machine learning and applied AI.
Proficient in programming languages such as Python and R.
Experienced with data science libraries like Pandas, NumPy, and scikit-learn.
Hands-on experience with generative AI models (e.g., transformers, GANs) and deep learning frameworks like TensorFlow or PyTorch.
Strong skills in SQL and experience with large-scale databases.
Solid understanding of statistical methods and their application in real-world scenarios.
Experience deploying and optimizing machine learning models in production environments, focusing on scalability and reliability.
Excellent verbal and written communication skills.
Proven ability to work effectively in a team environment.
Demonstrated bias for action with the ability to drive projects independently.
Ability to navigate ambiguous situations and develop innovative solutions.
Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.

Analyze large and complex datasets to extract meaningful insights that drive product decisions.
Design, develop, and implement machine learning models, including generative AI models, to enhance our platform's capabilities.
Work closely with product managers, engineers, and designers to integrate machine learning solutions into consumer-facing products.
Continuously refine models for improved performance, scalability, and cost-effectiveness.
Create clear and compelling visualizations to communicate findings to stakeholders.
Keep abreast of the latest developments in AI and data science to ensure our technologies remain cutting-edge.
Take responsibility for the quality and timely delivery of data projects, acting as an owner throughout the process.

PythonSQLData AnalysisMachine LearningNumpyPyTorchProduct DevelopmentAzureData analysisData sciencePandasTensorflowCommunication SkillsCollaborationWritten communication

Posted 2024-11-14

Apply

🔥 Senior Machine Learning Engineer

Posted 2024-11-12

📍 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 2024-11-12

Apply

🔥 Machine Learning Engineer

Posted 2024-11-09

📍 Canada

🧭 Full-Time

🔍 Landscape construction

🏢 Company: GoMaterials

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Experience with AI Agent solution development and frameworks.
Proven experience as a Machine Learning Engineer or similar role.
Strong programming skills in Python, R, or similar languages.
Familiar with fine-tuning techniques on existing models.
Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.
Strong understanding of data structures, algorithms, and mathematical concepts used in machine learning.
Familiar with deep learning techniques and development processes.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.

Design, develop, and implement machine learning and deep learning algorithms and models.
Explore and define business problems, design and develop AI agent solutions for specific tasks.
Collaborate with product team and engineers to transform raw data into actionable insights.
Train, test, and optimize models to ensure accuracy, efficiency, and scalability.
Deploy machine learning models into production environments, ensuring reliability and robustness.
Monitor and maintain machine learning pipelines, identifying areas for improvement or enhancement.
Conduct data preprocessing and feature engineering.
Research and evaluate new algorithms, tools, and techniques to enhance model performance.
Document processes, models, and experiments for knowledge sharing and reproducibility.

AWSPythonMachine LearningPyTorchAlgorithmsAzureData scienceData StructuresTensorflowAnalytical SkillsCI/CD

Posted 2024-11-09

Apply

🔥 Machine Learning Engineer (The AI Innovator)

Posted 2024-11-07

📍 United States

🏢 Company: Unreal Gigs

Experience with cloud data platforms such as AWS, GCP, or Azure.
Proficiency in Python, Java, or Scala for building data pipelines.
Proven ability to maintain and optimize ETL processes using orchestration tools like Apache Airflow or Luigi.
Strong SQL skills and experience with relational and NoSQL databases.
Excellent problem-solving skills and ability to resolve data challenges.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field, or equivalent experience.

Develop and maintain data pipelines to support data ingestion, transformation, and integration using cloud technologies.
Architect and maintain data lakes and data warehouses using cloud-based solutions like BigQuery, Redshift, or Snowflake.
Work closely with data scientists, analysts, and business stakeholders to align data solutions with business goals.
Implement processes for data validation and ensure the quality of data through robust testing.
Build and automate ETL workflows for efficient data integration.
Use monitoring tools to maintain system health and track data system performance.

AWSPythonSQLApache AirflowETLGCPJavaKafkaStrategyAirflowApache KafkaAzureData engineeringData StructuresNosql

Posted 2024-11-07

Apply

🔥 Machine Learning Engineer (The AI Innovator)

Posted 2024-11-07

📍 United States

🏢 Company: Unreal Gigs

Experience with cloud data platforms such as AWS, GCP, or Azure.
Proficiency in programming languages like Python, Java, or Scala.
Ability to manage and optimize ETL processes with orchestration tools.
Strong skills in writing complex SQL queries and working with relational and NoSQL databases.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Certifications in cloud data engineering are a plus.
3+ years of experience in data engineering and cloud-based data systems.
Experience with real-time data processing frameworks is advantageous.
Familiarity with containerization and microservices architecture is a plus.

Develop and maintain data pipelines for data ingestion, transformation, and integration using cloud technologies.
Architect and maintain data lakes and data warehouses for performance and scalability.
Collaborate with data scientists, analysts, and business stakeholders to align data solutions with business goals.
Implement processes for data validation, error handling, and consistency checks.
Build and automate ETL workflows to support efficient data integration and reporting.
Use monitoring tools to track the performance of data systems and proactively resolve issues.
Implement strategies for efficient resource allocation and cost-effective data processing.

AWSPythonSQLApache AirflowETLGCPJavaKafkaStrategyAirflowApache KafkaAzureData engineeringData StructuresNosql

Posted 2024-11-07

Apply

🔥 Machine Learning Engineer - Infrastructure and Operations

Posted 2024-11-07

📍 United States

🧭 Full-Time

🔍 AI and Machine Learning

🏢 Company: Symbl.ai

Possess a strong background in machine learning, computer science, or a related field.
Have 5+ years of experience in building and deploying machine learning models in production environments.
Demonstrate proficiency in cloud computing platforms such as AWS, GCP, or Azure.
Have experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Exhibit strong problem-solving skills and the ability to troubleshoot complex technical issues.
Possess excellent communication and collaboration skills to work effectively in a remote team environment.

Architect and maintain robust and scalable machine learning infrastructure.
Collaborate with data scientists and engineers to deploy and monitor machine learning models.
Implement automated workflows for model training, validation, and deployment.
Optimize and fine-tune the performance of machine learning systems.
Ensure data security, privacy, and compliance within the machine learning infrastructure.
Troubleshoot and resolve infrastructure-related issues.
Contribute to the evaluation and adoption of new technologies and tools in the machine learning space.

AWSDockerCloud ComputingGCPKubernetesMachine LearningAzureCollaborationCI/CD

Posted 2024-11-07

Apply

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