Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Machine Learning Engineer

Posted 4 months agoViewed

View full description

💎 Seniority level: Senior, 7+ years

🔍 Industry: DefenseTech

🏢 Company: TurbineOne👥 11-50💰 $15,000,000 Series A 11 months agoSecurityPublic Safety

🗣️ Languages: English

⏳ Experience: 7+ years

Requirements:
  • 7+ years of full stack work experience
  • College degree/certifications in Computer Science or similar field
  • Knowledge of deep learning algorithm development and experience with ML experimentation
  • Experience with all or some of TensorFlow, PyTorch and Jax
  • Experience in a production software development environment (version control, automated testing, build tools)
Responsibilities:
  • Designing and developing machine learning systems and infrastructure for training and inference at the edge
  • Maintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionality
  • Shipping production grade machine learning features to TurbineOne’s Front Line Perception system
  • Building and integrating new data models and user interfaces for gathering user data to enable to new ML-based product solutions
  • Creating and maintaining reusable functional blocks for machine learning models, such as data loading, inference batching, etc.
  • Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problems
  • Maintain and improve existing TurbineOne machine learning frameworks and libraries
  • Developing automation tools for building, testing, packaging and deploying machine learning components and features
Apply

Related Jobs

Apply
🔥 Senior Machine Learning Engineer - Poe (Remote)
Posted about 20 hours ago

📍 Multiple countries

🧭 Full-Time

💸 195394.0 - 300490.0 USD per year

🔍 Software Development

🏢 Company: Quora

  • Demonstrated professional experience in software development and machine learning
  • Proven track record of tech leading NLP/Search models to solve industry-scale problem
  • 4+ years of experience writing Python or C++ code
  • Previous experience tech leading complicated end to end machine learning systems
  • Experience of transformer models and LLM applications
  • Experience with leading large-scale multi-engineer projects
  • BS, MS or PhD in Computer Science, Engineering or a related technical field
  • Be responsible for developing, designing, and maintaining cutting-edge applied LLM projects including but not limited to search result retrieval, recommender systems and multi-bot agents, ensuring smooth and engaging user experiences.
  • Participate in a wide variety of NLP activities, including refining and optimizing prompting, retrieval-augmented generation, etc to improve the outcome of LLM.
  • Continuously research and stay up-to-date with the latest developments in NLP and large language models, utilizing innovative techniques and methodologies to enhance our models.
  • Take end to end ownership of large and scalable machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
Posted about 20 hours ago
Apply
Apply
🔥 Machine Learning Engineer - Recommendation System, Quora (Remote)
Posted about 20 hours ago

📍 Multiple countries (visit careers.quora.com/eligible-countries for details)

🧭 Full-Time

💸 170472.0 - 252439.0 USD per year

🔍 Software Development

🏢 Company: Quora

  • 3+ years of professional software development experience in machine learning
  • Previous experience building large scale ranking/recommendation systems
  • Good understanding of mathematical foundations of machine learning algorithms
  • Highly proficient coding ability writing Python, C++ or Golang code
  • BS, MS or PhD in Computer Science, Engineering or a related technical field
  • Improve our existing machine learning systems using your core coding skills and ML knowledge
  • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
  • Apply state-of-the-art machine learning algorithms at scale and serving for next-generation ad recommendation systems that directly impact the company’s top line metrics
  • Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment
  • Improve the design of recommender model
  • Work with product and business teams on new innovative features for recommender systems to optimize user and advertiser performance
  • Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers
Posted about 20 hours ago
Apply
Apply
🔥 Senior Machine Learning Engineer
Posted 1 day ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, WA

🧭 Full-Time

💸 190000.0 - 255000.0 USD per year

🔍 Machine Learning / AdTech

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

  • 5+ years industry experience with ML
  • Experience with Recommendation Systems
  • Hands-on experience with deep neural networks
  • Solid engineering and coding skills
  • B.S. or higher in Machine Learning, Math, or Physics
  • Develop and maintain machine learning models
  • Adopt or build new technologies for ML
  • Optimize ML pipelines for processing
  • Monitor and improve model performance
  • Communicate ML concepts to diverse audiences
  • Collaborate with a diverse engineering team

PythonMachine LearningMLFlowPyTorchData engineeringTensorflow

Posted 1 day ago
Apply
Apply
🔥 Staff Machine Learning Engineer
Posted 2 days ago

🧭 Full-Time

🔍 Insurance Technology

🏢 Company: Trellis

  • Proficiency in SQL and complex queries
  • Understanding of the RTB ecosystem
  • Solid foundation in statistics and modern ML techniques
  • Experience with TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms, preferably GCP
  • Deep experience with Kubernetes
  • Design, build, deploy, and improve ML models for real-time bidding
  • Monitor and optimize model performance for maximum ROI
  • Work with product and business stakeholders for ML-driven solutions
  • Utilize statistical techniques and ML frameworks
  • Mentor team members and share best practices
  • Deploy and orchestrate services using Kubernetes and GCP
Posted 2 days ago
Apply
Apply
🔥 Machine Learning Engineer
Posted 3 days ago

🏢 Company: Digitals AI Inc

  • Bachelor’s degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline.
  • 6+ years in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI
  • Familiarity with Scala (preferred), Python & SQL
  • Experience in machine learning and algorithm development.
  • Solid foundation in statistics, calculus, and linear algebra.
  • Experience productizing and deploying machine learning models.
  • Experience with data warehouse tools (Snowflake preferred).
  • Experience with data pipeline and workflow management tools (Airflow preferred).
  • Experience in Prompt engineering with LLM Development using Langchain. Semantic Kernel, Open Source/ API based LLMs or similar
  • Experience building scalable APIs in Python (using FastAPI is a plus).
  • Working knowledge of data processing packages (e.g., numpy, scipy, pandas)
  • Architect AI/ML systems as well as integrating AI/ML features into business apps
  • Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc
  • Develop end-to-end NLP Deep models
  • Assist in Conversational AI, Information retrieval, Knowledge Management
  • Research and implement appropriate ML algorithms and tools
  • Build and manage Supervised and Unsupervised ML algorithms
  • Select appropriate datasets and data representation methods
  • Perform statistical analysis and fine-tuning using test results
  • Utilise AWS Lambda, EC2 Services to build solution and Provide code deployments
  • Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs).
Posted 3 days ago
Apply
Apply
🔥 (Senior or Staff) Machine Learning Engineer
Posted 4 days ago

📍 United States, Canada

🧭 Full-Time

💸 180000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and LabelingMachine LearningPrivacyGenerative AIInformation TechnologySoftware

  • 5+ years of professional experience in software development
  • Significant experience with Python's ML ecosystem
  • Strong foundation in deep learning and related mathematics
  • Design and implement the software behind the core product
  • Collaborate with applied scientists and engineers
  • Unlock real-world use cases for synthetic data generation

PythonMachine LearningMLFlowPyTorchTensorflow

Posted 4 days ago
Apply
Apply
🔥 Senior Machine Learning Engineer
Posted 4 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

  • At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
  • 4-year Bachelor's degree in Computer Engineering or a related field
  • Experience deploying data science models in a production setting.
  • Expertise in Python, Scala, Java, or another modern programming language
  • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.
  • Experience with Docker, Kubernetes, or some other containerization technology
  • Familiarity with multiple data source systems (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
  • Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), storage systems (e.g., AWS, Databricks, Cloudera)
  • Production experience in core data technologies (e.g. Spark, Pandas)
  • Development of APIs and web server applications (e.g. Flask, Django, Spring)
  • Complete software development lifecycle experience including design, documentation, ong analytical abilities; ability to translate business requirements and use cases into a solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics
  • Excellent communication and presentation skills; previous experience working with internal or external customers
  • Design and create environments for data scientists to build models and manipulate data
  • Work within customer systems to extract data and place it within an analytical environment
  • Learn and understand customer technology environments and systems
  • Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
  • Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
  • Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
  • Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
  • Ensure the quality of the delivered product

AWSDockerPythonSoftware DevelopmentSQLElasticSearchETLFlaskHadoopJavaKafkaKubernetesMachine LearningSnowflakeSpringData engineeringData sciencePandasSparkTensorflowCI/CDRESTful APIsScalaData visualizationData modeling

Posted 4 days ago
Apply
Apply
🔥 Senior Machine Learning Engineer
Posted 4 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Data Engineering, Machine Learning

  • At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
  • Expertise in Python, Scala, Java, or another programming language
  • Experience deploying data science models in production
  • Strong working knowledge of SQL
  • Experience with Docker, Kubernetes, or similar technologies
  • Design and create environments for data scientists to build models
  • Extract data within customer systems for analysis
  • Define deployment approach and infrastructure for models
  • Work with data scientists to transform data into formats for machine learning
  • Create operational testing strategies and validate models in QA

AWSDockerPythonSQLDjangoFlaskGCPJavaKerasKubernetesMLFlowSnowflakePandasSparkTensorflowScala

Posted 4 days ago
Apply
Apply
🔥 Senior/Lead Machine Learning Engineer (Predictions)
Posted 4 days ago

🧭 Full-Time

💸 6000.0 - 9400.0 EUR per month

🔍 HealthTech

🏢 Company: Flo Health👥 251-500💰 $200,576,013 Series C 7 months agoWomen'sArtificial Intelligence (AI)AppsWellnessHealth Care

  • Strong understanding of classical ML algorithms
  • Experience in deploying large-scale machine learning models
  • Strong Python programming skills
  • Experience with data pipelines using Apache Spark
  • Familiarity with feature engineering techniques
  • Explore, develop and test complex ML systems
  • Work in a fast-paced environment to validate product hypotheses
  • Research and implement state of the art ML solutions
  • Collaborate with cross-functional teams
Posted 4 days ago
Apply
Apply
🔥 Senior Machine Learning Engineer
Posted 7 days ago

🧭 Full-Time

💸 95000.0 - 110000.0 GBP per year

🔍 Machine Learning

🏢 Company: Sona👥 51-100💰 $27,500,000 Series A 10 months agoProductivity ToolsEmploymentHuman ResourcesAppsEnterprise Software

  • Extensive industry ML experience, with a track record of deploying ML systems to production, validating and evaluating them.
  • Strong programming skills in Python, including the ML/scientific python stack (e.g. numpy, scikit-learn)
  • Strong theoretical understanding of machine learning and how to integrate that machine learning theory with practical decisions.
  • Data analysis and technical communication skills. The ability to visualise, communicate and demonstrate your results. (e.g. SQL, pandas, plotting, notebooks)
  • Spearhead the next step of development of Sona’s best-in-industry forecasting models, creating huge impact for our customers.
  • Solve a well defined forecasting problem, and demonstrating Sona as best in class, then move on to developing green field areas for machine learning and algorithms across the business.
  • Working with APIs to generate the datasets, doing the data engineering to make them available offline and live, the offline model selection, the live model deployment, monitoring.
Posted 7 days ago
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

Posted 6 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 6 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 6 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 6 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 6 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.