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Trace Machina

đź‘Ą 11-50đź’° $4,700,000 Seed 7 months agoIT InfrastructureRoboticsSoftwaređź’Ľ Private Company
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Trace Machina is at the forefront of revolutionizing software development with NativeLink, our open-source simulation infrastructure platform. We build high-performance build caching and remote execution systems that significantly accelerate software compilation and testing. Our mission is to reduce infrastructure costs and optimize build workflows for organizations of all sizes, helping them scale and streamline their processes efficiently. We're pushing the boundaries of AI and machine learning to enhance NativeLink's capabilities. Our engineering team leverages cutting-edge technologies like AI and robotics to solve complex problems in software build optimization. Our tech stack includes Python and other data science programming languages with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. We are committed to remote work and foster a collaborative environment. With our recent seed funding round, we are rapidly growing and looking to expand our team of talented engineers and data scientists. We are a small but growing company of 11-50 employees, working to build a scalable build system with many of the biggest companies in the world, and our engineering culture is one of innovation, collaboration, and continuous learning. We value a data-driven approach, encouraging our team to experiment and discover new ways to enhance our platform's performance. The company is based in Palo Alto, California, but is remote-first, allowing us to attract top talent globally. Our values are rooted in open-source principles, ensuring transparency and community involvement. Join us at Trace Machina, where you can make a tangible impact on the future of software development! We offer a competitive salary and benefits package, opportunities for professional development, and the chance to shape the evolution of high-performance build systems with AI/ML.

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Jobs at this company:

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🔥 Consulting Build Engineer
Posted about 16 hours ago

đź“Ť United States

🧭 Full-Time

🔍 Software Development

  • 3+ years of experience in build engineering, CI/CD pipelines, or software development
  • Strong understanding of build systems, continuous integration, and build automation tools (e.g., Jenkins, GitLab, CircleCI, etc.)
  • Experience with build caching, remote execution, and distributed systems
  • Proficiency with programming/scripting languages such as Python, Go, or shell scripting
  • Experience in troubleshooting complex technical issues in large-scale environments
  • Strong knowledge of cloud services and infrastructure (e.g., AWS, GCP, Azure)
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and a customer-oriented mindset
  • Ability to work independently and as part of a team in a fast-paced, client-focused environment
  • Familiarity with version control systems (Git) and infrastructure-as-code tools (e.g., Terraform, Ansible)
  • Act as the primary technical consultant for clients, working directly with them to understand their build infrastructure and processes
  • Assess customer build systems and provide expert recommendations on how to optimize them using NativeLink’s build caching and remote execution solutions
  • Configure and integrate NativeLink into customer environments, including both on-premise and cloud-based setups
  • Troubleshoot and resolve issues related to build performance, caching, and execution across various environments
  • Work with clients to define success criteria, track project milestones, and deliver measurable results
  • Collaborate with product development and engineering teams to provide customer feedback and help improve NativeLink
  • Conduct training and workshops for clients to help them understand and utilize NativeLink to its full potential
  • Provide ongoing support to clients, including troubleshooting, performance tuning, and optimization recommendations
  • Document best practices, case studies, and solutions for future reference and sharing with the broader team
  • Stay current with industry trends and emerging technologies related to build systems, CI/CD, and remote execution

AWSDockerPythonCloud ComputingGitJenkinsKubernetesREST APICommunication SkillsCI/CDProblem SolvingCustomer serviceLinuxDevOpsTerraformTroubleshootingScripting

Posted about 16 hours ago
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🔥 AI Safety Researcher
Posted about 16 hours ago

đź“Ť United States

🧭 Full-Time

🔍 Software Development

  • 3+ years of experience in AI/ML research, with a focus on safety, robustness, and interpretability
  • Strong background in machine learning theory, with practical experience implementing models and algorithms
  • Expertise in AI safety frameworks, fault tolerance, and risk mitigation strategies for AI systems
  • Experience with reinforcement learning, adversarial training, and robustness testing of AI models
  • Proficiency in programming languages such as Python, C++, or Go, with hands-on experience in AI development libraries (e.g., TensorFlow, PyTorch)
  • Strong understanding of AI ethics, fairness, and the impact of machine learning algorithms in real-world applications
  • Ability to identify potential safety risks in AI-driven systems and design solutions to address them
  • Familiarity with distributed systems, cloud infrastructure, and build/test automation frameworks
  • Conduct research into AI safety, focusing on robustness, fairness, and interpretability of machine learning models used in build systems
  • Develop algorithms and frameworks that ensure the safe deployment of AI-powered automation in software build, testing, and CI/CD workflows
  • Work closely with engineering teams to integrate AI safety mechanisms and ensure robust error handling and fault tolerance
  • Investigate and mitigate risks associated with AI-driven decision-making in distributed build systems, especially in mission-critical operations
  • Contribute to the development of safety-critical AI models for optimizing performance, caching accuracy, and task coordination across various customer environments
  • Conduct studies on the ethical implications of AI in software development, ensuring that algorithms used in NativeLink align with responsible AI principles
  • Perform in-depth testing, model validation, and risk assessment to ensure AI systems meet reliability and safety standards
  • Collaborate with product managers and engineers to translate research findings into practical tools and features for our customers

PythonMachine LearningPyTorchC++GoTensorflowCI/CD

Posted about 16 hours ago
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🔥 Head of People
Posted about 17 hours ago

đź“Ť United States

🧭 Full-Time

🔍 Software Development

  • Proven experience in a people leadership role (preferably as Head of People, HR Director, or similar) in a fast-paced, growth-oriented environment, ideally in a startup or tech company.
  • Strong understanding of HR best practices, people operations, performance management, compensation, benefits, and compliance.
  • Exceptional interpersonal skills with the ability to build trust and rapport with employees at all levels.
  • A deep commitment to fostering a diverse and inclusive culture.
  • Experience with scaling HR processes and building teams from the ground up.
  • Strong problem-solving and strategic thinking skills with the ability to influence leadership decisions.
  • Excellent communication skills, both verbal and written.
  • A track record of creating and driving employee engagement initiatives and culture-building programs.
  • Lead the development and execution of recruitment strategies to attract and hire top-tier talent across all functions.
  • Foster a positive, inclusive, and transparent work culture where employees feel valued, motivated, and engaged.
  • Oversee day-to-day HR operations, including onboarding, performance management, compensation and benefits, and compliance.
  • Partner with the executive team to identify leadership development needs, create programs for leadership growth, and establish a performance feedback system that aligns with Trace Machina’s culture and values.
  • Champion Trace Machina’s culture by embedding company values into every aspect of the employee experience.
  • Advise leadership on people-related issues, providing data-driven insights and recommendations to improve workforce planning, organizational design, and employee engagement.
  • Build and implement scalable HR systems and processes that can support Trace Machina’s growth as we expand our team and operations.

LeadershipPeople ManagementHR ManagementCommunication SkillsOrganizational skillsComplianceInterpersonal skillsProblem-solving skillsRecruitmentTeam managementStrategic thinking

Posted about 17 hours ago
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🔥 Data Scientist - AI/ML
Posted about 20 hours ago

đź“Ť United States

🧭 Full-Time

🔍 Software Development

  • 3+ years of experience as a Data Scientist, with a strong focus on AI and machine learning
  • Expertise in machine learning algorithms, data analysis, and statistical modeling techniques
  • Proficiency in Python, R, or other data science programming languages, with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas
  • Strong knowledge of deep learning, reinforcement learning, or other advanced AI techniques
  • Experience with large-scale data processing, including working with big data technologies (e.g., Spark, Hadoop)
  • Familiarity with cloud infrastructure (AWS, GCP, Azure) and deploying machine learning models in production
  • Strong understanding of data wrangling, feature engineering, and building predictive models
  • Experience with version control (Git) and working in collaborative environments
  • Excellent problem-solving skills and ability to generate actionable insights from data
  • Ability to communicate complex AI/ML concepts effectively to both technical and non-technical teams
  • Design, implement, and deploy machine learning models to optimize software build systems, including caching, task distribution, and execution workflows
  • Work with large datasets to identify patterns, anomalies, and insights that inform decisions for improving build processes and remote execution
  • Develop predictive models to optimize build times, cache hit rates, and system resource utilization
  • Conduct experiments to improve the efficiency of build systems through data-driven decisions, leveraging AI/ML techniques such as reinforcement learning and optimization
  • Collaborate with cross-functional teams (engineering, product, and operations) to translate business problems into AI/ML-driven solutions
  • Analyze customer usage data to identify opportunities for feature improvements and innovations within the NativeLink platform
  • Develop custom algorithms for performance monitoring, anomaly detection, and optimization of CI/CD pipelines
  • Build, test, and validate machine learning models using a variety of techniques, ensuring they are scalable, robust, and interpretable
  • Build and maintain data pipelines to support model training, testing, and deployment in production environments
  • Communicate findings and insights to both technical and non-technical stakeholders in a clear and actionable way

AWSPythonCloud ComputingData AnalysisGCPGitHadoopMachine LearningPyTorchAzureData sciencePandasSparkTensorflowCI/CDData visualization

Posted about 20 hours ago
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