200+ applicants

Company

Original Job Post

Vagaro · 4 days ago

Machine Learning Engineer

Pleasanton, CA

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Design and develop robust machine learning models for various applications.

Perform exploratory data analysis and preprocessing for data preparation.

Implement, test, and deploy scalable machine learning solutions in production.

Collaborate with data engineers for data integration and transformation.

Integrate AI/ML capabilities into existing products and develop new AI-powered solutions.

Lead technical discussions and present complex ideas to non-technical stakeholders.

Stay updated with the latest advancements in machine learning and artificial intelligence.

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.

Machine LearningData ScienceSupervised LearningUnsupervised LearningReinforcement LearningModel DeploymentLogistic RegressionRandom ForestXGBoostNeural NetworksTensorFlowPyTorchScikit-LearnPythonJavaScalaPySparkRPandasNumPyMatplotlibDatabricksDataRobotAzure MLAWS SageMakerH2O.aiPublic Cloud PlatformsAWSGCPAzure

Required

Minimum of 5 years of experience in machine learning (ML) and data science (DS), applying supervised, unsupervised or reinforcement learning paradigms and with proven track record of deploying machine learning models in production.

Proficiency in machine learning models such as Logistic Regression, Random Forest, XGBoost and Neural Networks.

Proficiency in using ML frameworks such as TensorFlow, PyTorch and Scikit-learn.

Proficiency in programming languages such as Python, Java, Scala, PySpark and R.

Familiarity with data exploration libraries such as Pandas, NumPy and Matplotlib.

Familiarity with DS and ML platforms such as Databricks, DataRobot, Azure ML, AWS SageMaker and H2O.ai.

Experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes).

Strong problem-solving skills to devise innovative and creative AI solutions.

Excellent communication and collaboration skills in a fast-paced environment.

Benefits

15 days PTO

9 company holidays

Reimbursement program using any of Vagaro services

401k retirement plan with matching

Healthcare, dental & vision plans for individuals and families

Life insurance, supplemental programs

Tuition reimbursement program

Discounted tickets program

Doordash Dash Pass

On-site fitness center

Work/Life & EAP services

Company

Vagaro

Glassdoor

3.7

Vagaro is an online platform that allows its users to find salons and spas in their local area and make appointments online.

Founded in 2009

Dublin, California, USA

201-500 employees

https://sales.vagaro.com/

H1B Sponsorship

Vagaro has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (3)

2022 (2)

2021 (2)