Senior Machine Learning Engineer @ myGwork - LGBTQ+ Business Community | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
Senior Machine Learning Engineer jobs in Seattle, WA
Be an early applicantLess than 25 applicants
company-logo

myGwork - LGBTQ+ Business Community · 2 days ago

Senior Machine Learning Engineer

Wonder how qualified you are to the job?

ftfMaximize your interview chances
Internet

Insider Connection @myGwork - LGBTQ+ Business Community

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Collaborate with data scientists to understand model requirements and translate them into scalable machine learning solutions.
Design and implement CI/CD pipelines for automating model training, testing, and deployment processes.
Implement best practices for version control, code review, and continuous integration in machine learning projects.
Evaluate and integrate third-party software packages and libraries to enhance the capabilities of machine learning systems.
Optimize machine learning algorithms for performance, scalability, and efficiency in production environments (gpu scaling)
Monitor and troubleshoot machine learning pipelines to ensure reliability and stability.
Document machine learning workflows, pipelines, and software packages for knowledge sharing and reproducibility.
Stay up-to-date with the latest advancements in machine learning, software engineering, and DevOps practices.
Collaborate with cross-functional teams to drive innovation and improve the overall effectiveness of machine learning solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Software DevelopmentMachine LearningCI/CDDocumentationDevOpsIntegrationMonitoringBenchmarkingScalabilityGPU ScalingWorkflow DesignPipeline DesignModel TrainingModel TestingModel DeploymentSoftware PackagesProblem-SolvingCollaborationMachine Learning PipelinesApache AirflowKubeflowMLflowCI/CD Best PracticesGitLab CI/CDJenkinsCircleCIContainerization TechnologiesDockerKubernetesCloud Platforms

Required

Highly skilled and experienced Software Development Engineer
Experience working with applied scientists and product managers in architecting, validating and benchmarking Gen-AI solutions
Experience in working with machine learning algorithms for performance, scalability, and efficiency in production environments (gpu scaling)
Experience in designing and implementing CI/CD pipelines for automating model training, testing, and deployment processes
Experience in evaluating and integrating third-party software packages and libraries to enhance machine learning systems
Experience in monitoring and troubleshooting machine learning pipelines to ensure reliability and stability
Documentation skills for machine learning workflows, pipelines, and software packages
Knowledge of the latest advancements in machine learning, software engineering, and DevOps practices
Collaboration skills with cross-functional teams to drive innovation and improve machine learning solutions

Preferred

Experience with building and optimizing machine learning pipelines using tools like Apache Airflow, Kubeflow, or MLflow
Familiarity with CI/CD best practices and tools like GitLab CI/CD, Jenkins, or CircleCI
Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes
Experience with cloud platforms (e.g., AWS, Azure, GCP, OCI) and their machine learning services

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance

Company

myGwork - LGBTQ+ Business Community

twittertwittertwitter
company-logo
myGwork is the largest global platform for the LGBTQ+ business community.

Funding

Current Stage
Early Stage
Total Funding
$4.77M
Key Investors
24 HaymarketInnovate UK
2023-08-17Series Unknown· $1.66M
2023-08-17Grant· Undisclosed
2021-12-07Series A· $2.12M

Leadership Team

leader-logo
Adrien Gaubert
Co-Founder & CMO
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot