Software Engineer, Machine Learning @ Whatnot | Jobright.ai
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Whatnot · 5 days ago

Software Engineer, Machine Learning

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CollectiblesE-Commerce
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Growth Opportunities

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Responsibilities

Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts.
Contribute scalable solutions across various serving stacks at the machine learning service and application layers.
Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns.
Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience.
Define and advance our technical approach to scalable machine learning.

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.

PythonData ScienceMachine LearningFlaskFastAPIDockerPostgreSQLDynamoDBElasticsearchRedisStatistical AnalysisFraud DetectionAnomaly DetectionCausal AnalysisVisualization ToolsDataDogGrafanaCloud ComputingAWS SagemakerLambdaKinesisS3EC2EKS/ECSKafkaFlink/SparkDocumentationProblem-SolvingCommunicationLeadership

Required

Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker.
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark.
Professionalism around collaborating in a remote working environment and well tested, reproducible work.
Exceptional documentation and communication skills.

Benefits

Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
$1,000 home office setup allowance
$150 monthly allowance for cell phone and internet
Care benefits: $450 monthly allowance on food, $500 monthly allowance for wellness, $5,000 annual allowance towards Childcare, $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Parental Leave: 16 weeks of paid parental leave + one month gradual return to work

Company

Whatnot is a live stream platform and marketplace that enables collectors and enthusiasts to connect, buy, and sell verified products. It is a sub-organization of Whatnot.

H1B Sponsorship

Whatnot 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 (14)
2022 (14)

Funding

Current Stage
Late Stage
Total Funding
$484.7M
Key Investors
CapitalGY Combinator Continuity FundAndreessen Horowitz
2022-07-21Series D· $260M
2021-09-15Series C· $150M
2021-05-25Series B· $50M

Leadership Team

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Grant LaFontaine
CEO & Co-Founder
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Ludo Antonov
VP & Head of Engineering
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Company data provided by crunchbase
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