Machine Learning Operations Engineer, Coactive
$186-220k
+ Equity grants
Office located in San Jose, CA
Visual data analytics platform
Open for applications
Visual data analytics platform
21-100 employees
Open for applications
$186-220k
+ Equity grants
Office located in San Jose, CA
21-100 employees
Company mission
To empower data practitioners and data-driven teams to unlock insights in unstructured image and video data.
Role
Who you are
- Bachelor's or Master’s degree in Computer Science, Data Science or a related field
- 5+ years of experience and proficiency in programming languages such as Python, Java or C++
- Familiarity with machine learning frameworks and MLOps practices
- Experience with cloud platforms such as AWS, Google Cloud, or Azure
- Solid understanding of containerization and orchestration technologies like Docker and Kubernetes
- Experience with monitoring tools like Datadog, NewRelic, or similar
- Strong problem-solving skills and attention to detail
- Preferred Qualifications:
- Experience with vector databases
- Understanding of similarity and semantic search
- Familiarity with multimodal AI
- Experience with model interpretability and explainability tools
What the job involves
- As an ML Ops Engineer at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML infrastructure
- You will work closely with Research Scientists, ML Engineers, Software Engineers, and Product Managers to streamline the development process and to deploy and monitor machine learning models in production
- You will work with the Platform Engineering team to deploy and maintain the infrastructure and the CI/CD processes supporting our ML initiatives, and apply your understanding of ML, and ML tooling and technology, to continuous optimization efforts
- Implement observability tooling and practices appropriate to assessing ML Ops across the platform
- Evaluate and improve the efficiency of ML development and model deployment processes
- Manage the efficiency of model serving by selecting proper scaling strategies and compute resources
- Build scalable and resilient ML infrastructure using a combination of managed services and Cloud Native tooling
- Collaborate with data scientists and software engineers to improve the integration of ML into our platform and applications
Our take
CoactiveAI is on a mission to help humans and machines work together by empowering data practitioners and data-driven teams to unlock insights in unstructured image and video data.
The company is ahead of the curve with its focus on visual data, which is becoming increasingly part of everyday life, now occupying well over 75% of all Internet traffic. CoactiveAI makes this data useful by bringing it into the world of Structured Query Language (SQL), providing information from visual data that can inform business decisions.
Though only founded in 2021, CoactiveAI's founding team has experience working with the first generation of modern machine learning systems at Google, Facebook, Pinterest and eBay. The company has secured impressive funds to expand operations, development efforts, and business reach.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
May 2024
$30m
SERIES B
Mar 2023
$10.4m
SERIES A
Total funding: $40.4m
Company benefits
- 100% medical, dental & vision coverage for you
- Medical, dental & vision partially covered for your dependents
- 401K
- Unlimited PTO
- An allowance to set up workstations however you want
- A supportive environment with opportunity for growth
- Social events ranging from happy hours and hiking to board game nights and games of Mario Kart
Company values
- Engage together - We act as one team, always staying humble and grateful. There are no bystanders in our ranks
- Act with purpose - We move boldly and deliberately, while maintaining pragmatism with empathy
- Lead with transparency - We always have the hard conversations upfront, and our opinions come backed with evidence
Company HQ
Horace Mann, San Jose, CA
Articles
Leadership
Cody Coleman
(CEO)Previously served as a Founding Member for MLCommons, Founding Partner for MLPerf, and as an Intern for Facebook.
Salary benchmarks
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