Collinear AI Logo

Collinear AI

Software Engineer (Machine Learning)

Reposted 22 Hours Ago
Remote or Hybrid
Hiring Remotely in USA
120K-200K Annually
Mid level
Remote or Hybrid
Hiring Remotely in USA
120K-200K Annually
Mid level
Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.
The summary above was generated by AI
About the Company

Born from the understanding that AI deployment shouldn't require months of preparation or compromise on quality, we've built a comprehensive platform that turns your brand values into production-ready AI applications in days, not months.

Our product is AI Judges that are trained with proprietary auto-align technology and powered by state-of-the-art research on Alignment and RL. We help companies build AI systems that aren't just safe and reliable, but truly aligned with their brand values and business objectives.

Backed by top-tier Silicon Valley venture capital firms, we're on a mission to make safe, reliable, and highly-performant frontier AI for enterprise use-cases a reality.

Join us in pushing the boundaries of what's possible in AI! Learn more about the company here.

About the Role

We are looking for a talented Software Engineer (Machine Learning) with expertise in React and NextJs (JavaScript frameworks) for frontend development and backend development in Python and Fast API. The ideal candidate will have hands-on experience in DevOps technologies, testing frameworks, database management, and exposure to AI/ML or NLP/LLM projects.

Key responsibilities include:

  • Develop scalable, responsive web applications using modern frontend frameworks (React/Next.js)

  • Design and implement high-performance backend solutions using Python and FastAPI, ensuring reliability and scalability

  • Collaborate with cross-functional teams to define features, enhancements, and deliver product updates

  • Implement and maintain DevOps best practices for continuous integration and deployment using tools like Jenkins, AWS, Docker, and Kubernetes

  • Write and maintain comprehensive unit, integration, and end-to-end tests using testing frameworks

  • Troubleshoot and debug frontend and backend issues, ensuring timely resolution and system optimization.

  • Work with both SQL and NoSQL databases, optimizing queries for efficient data management

  • Collaborate with AI/ML teams to build and deploy applications leveraging NLP and LLM technologies

About You

There are a few specific things we’ll be looking for that will help you succeed in this role:

  • Bachelor’s or Master’s degree in Computer Science/Engineering, or a related field

  • Experience in full stack development with a focus on both frontend and backend technologies

  • Proficiency in JavaScript frameworks (React/Next.js) for frontend development

  • Strong backend development skills in Python (FastAPI) or similar languages

  • Experience with DevOps tools such as Jenkins, AWS, Docker, and Kubernetes for CI/CD pipelines

  • Hands-on experience with testing frameworks and a Test-Driven Development (TDD) approach

  • Expertise in SQL and NoSQL databases, with a solid understanding of database design and optimization

  • Experience in AI/ML or NLP/LLM projects is highly desirable

  • Contributions to open-source projects, with an active GitHub portfolio showcasing innovation and expertise, are preferred

  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment

  • Prior experience in top-tier technology companies or startups is a plus

Notes

We are working with leading global enterprises to deliver cutting-edge AI safety and reliability tools. And we are looking for brilliant, high-agency, low-ego rockstars to join us on this crusade. We want the best of the best and firmly believe greatness begets greatness.
Come here to push yourself hard, learn things fast, experience unmatched excellence, and do your life's work.

Similar Jobs

5 Days Ago
Easy Apply
Remote
Easy Apply
153K-213K Annually
Senior level
153K-213K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead delivery of ML feature platform initiatives: design, build, and operate backend systems for feature creation, storage, backfilling and serving. Collaborate with product, design, and analytics, own quarterly goals, improve platform reliability and code quality, mentor engineers, and support on-call and operational monitoring.
Top Skills: AWSKotlinKubernetesMySQLPython
8 Days Ago
Easy Apply
In-Office or Remote
Easy Apply
180K-230K Annually
Senior level
180K-230K Annually
Senior level
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.
Top Skills: GoPython
13 Days Ago
Remote
United States
130K-207K Annually
Senior level
130K-207K Annually
Senior level
Artificial Intelligence • Consumer Web • Information Technology • Real Estate • Software • PropTech
Build and maintain backend and full-stack marketplace features while supporting ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring). Collaborate with data scientists to bring models to production, write well-tested code, address performance and scalability issues, and contribute to technical planning and cross-functional communication.
Top Skills: A/B Testing FrameworksAWSAzureChalkGCPGoJavaScriptKubeflowMlflowPythonRubySQLVertex Ai

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account