117 Computer Vision/Machine Learning Engineer Jobs in San Francisco, CA
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Computer Vision/Machine Learning Engineer
$165k-202k (estimate)
Full Time
3 Weeks Ago
INSPYR Solutions is Hiring a Computer Vision/Machine Learning Engineer Near San Francisco, CA
Computer Vision/Machine Learning Engineer - Long Term Project - Remote based in SF/Bay Area, CA.
Title: Computer Vision/Machine Learning Engineer
Location: Remote based in SF/Bay Area, CA.
Duration: Long Term Project
Compensation: $80-100/hr.
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US
Qualified candidates may send a copy of their resume (Word Format) to tsanchez@inspyrsolutions.com
Description/Comment:The vision of the Machine Learning (ML) Engineering team is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project's life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to maximize the positive business impact of all ML by supporting key product functions like personalization and recommendation, fraud and abuse prevention, capacity planning, subscriber growth and lifecycle intelligence, and so on.
Job Summary:In this role you will partner with Applied Machine Learning Engineers and Data Scientists to enable various ML applications through high quality batch & streaming datasets. You will work across the entire ML lifecycle from exploration and prototyping to production deployment and maintenance. As you work on various ML use cases you will also build and extend core infrastructure components like our internal Feature Store to enable and improve application workflows.
Basic Qualification:
Our benefits package includes:
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Title: Computer Vision/Machine Learning Engineer
Location: Remote based in SF/Bay Area, CA.
Duration: Long Term Project
Compensation: $80-100/hr.
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US
Qualified candidates may send a copy of their resume (Word Format) to tsanchez@inspyrsolutions.com
Description/Comment:The vision of the Machine Learning (ML) Engineering team is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project's life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to maximize the positive business impact of all ML by supporting key product functions like personalization and recommendation, fraud and abuse prevention, capacity planning, subscriber growth and lifecycle intelligence, and so on.
Job Summary:In this role you will partner with Applied Machine Learning Engineers and Data Scientists to enable various ML applications through high quality batch & streaming datasets. You will work across the entire ML lifecycle from exploration and prototyping to production deployment and maintenance. As you work on various ML use cases you will also build and extend core infrastructure components like our internal Feature Store to enable and improve application workflows.
Basic Qualification:
- Collaborate with machine learning practitioners to understand feature and data requirements
- Work with Engineering teams to collect required data from internal and external systems
- Develop and maintain production-grade batch and streaming pipelines
- Setup orchestration and automation of ETL jobs using tools such as Airflow and Jenkins
- Improve and extend existing data infrastructure services
- Conduct data exploration, analysis and provide data strategy consultancy
- Drive and maintain a culture of quality, innovation and experimentation
- Work in an Agile environment that focuses on collaboration and teamwork
- Mentor colleagues on best practices and technical concepts of building large scale solutions
- 5 years of data engineering experience
- Experience deploying and running services in AWS and in engineering big-data solutions using technologies like Databricks, EMR, S3, and Spark
- Experience building streaming pipelines using Kafka, Spark, Flink, or Samza
- Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
- Experience designing and developing backend microservices for large scale distributed systems using gRPC or REST
- Experience with graph-based data workflows such as Apache Airflow, Meson
- Excellent communication and people engagement skills
- Familiarity with ML pipelines, data ecosystem and AWS technologies
- Building ML infrastructure, streaming ML applications
- Experience shipping entertainment and media applications for streaming purposes
Our benefits package includes:
- Comprehensive medical benefits
- Competitive pay, 401(k)
- Retirement plan
- …and much more!
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Job Summary
JOB TYPE
Full Time
SALARY
$165k-202k (estimate)
POST DATE
06/17/2024
EXPIRATION DATE
12/11/2024
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