Collinear AI Logo

Collinear AI

Software Engineer (Machine Learning)

Reposted Yesterday
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

23 Days Ago
Easy Apply
Remote
Easy Apply
120K-170K Annually
Junior
120K-170K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate ML training and serving infrastructure. Design, develop, and launch backend systems, collaborate across teams, support operations and on-call, write well-tested extensible code, and participate in team growth and hiring activities.
Top Skills: AWSKotlinKubernetesMySQLPython
2 Days Ago
Remote
Senior level
Senior level
Software
Design and build backend services, cloud-native infrastructure, and automation to support the ML lifecycle. Partner with ML engineers to integrate tools like SageMaker Studio and MLflow, maintain MLOps tooling, and improve CI/CD and Terraform-based infrastructure while providing technical leadership and product-focused engineering.
Top Skills: Amazon Web Services (Aws)Ci/CdJavaMlflowMlopsPythonSagemaker StudioTerraform
12 Days Ago
Remote
USA
119K-217K Annually
Senior level
119K-217K Annually
Senior level
Kids + Family • Mobile
Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.
Top Skills: A/B TestingAgentic WorkflowsAmplitudeAndroid StudioAndroid View SystemBitriseClaude CodeClean ArchitectureCrashlyticsCursorDaggerDatabricksEppoExposure LoggingFastlaneFeature FlaggingFlowGithub ActionsGithub CopilotGradleGrowthbookHiltJetpack ComposeJetpack ViewmodelKotlinKotlin CoroutinesLaunchdarklyLlmsMacrobenchmarkMavenMviMvvmNavigationOptimizelyPerfettoPrompt EngineeringSegmentSnowflakeStatsigSystrace

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account