Apply

Research Engineer

Posted 3 months agoViewed

View full description

πŸ’Ž Seniority level: Senior, 3+ years

πŸ“ Location: San Francisco Bay Area, New York City

πŸ’Έ Salary: 100000.0 - 210000.0 USD per year

πŸ” Industry: AI observability and evaluation

🏒 Company: Arize AIπŸ‘₯ 51-100πŸ’° $38,000,000 Series B over 2 years agoArtificial Intelligence (AI)Machine LearningInformation TechnologySoftware

πŸ—£οΈ Languages: English

⏳ Experience: 3+ years

πŸͺ„ Skills: PythonMachine LearningData science

Requirements:
  • 3+ years experience as a Developer Advocate, Data Scientist, AI/ML Engineer, or Solutions Engineer
  • Working knowledge of generative AI, machine learning, and data science
  • Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries)
  • Proficiency in Python
  • A data-driven creative who thrives in developing engaging activities for AI/ML practitioners
  • Excellent written and verbal communication skills
  • Willingness to attend evening meetups and events in the SF Bay Area
Responsibilities:
  • Create awareness through thought-provoking research that educates AI developers
  • Shape initial ideas into larger research projects based on industry knowledge gaps and new AI models
  • Execute research in weeks, not months
  • Maintain rigor and review at speeds 10x faster than typical research
  • Write research for social media, blogs, and external events
  • Plan and speak at Arize-hosted and industry events on ongoing research
  • Build an AI Twitter research presence engaging the AI community
Apply

Related Jobs

Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 280000.0 - 425000.0 USD per year

πŸ” Artificial Intelligence

🏒 Company: AnthropicπŸ‘₯ 501-1000πŸ’° $4,000,000,000 Convertible Note 4 months agoArtificial Intelligence (AI)Machine LearningGenerative AIInformation Technology

  • Experience with high performance, large-scale ML systems
  • Familiarity with GPUs, Kubernetes, Pytorch or OS internals
  • Knowledge of language modeling and reinforcement learning
  • Improve cluster reliability for big jobs
  • Run and design scientific experiments
  • Improve development tooling

ETLKubernetesMachine LearningPyTorch

Posted 24 days ago
Apply
Apply

πŸ“ United States, Canada

🧭 Full-Time

πŸ” Web3, Blockchain

🏒 Company: GATEWAY CAREERS

  • Mandatory deep understanding of cryptography, consensus algorithms, blockchain infrastructure, smart contracts.
  • Demonstrated expertise and interest in zero-knowledge and/or scaling technologies like Polygon, Optimism, Arbitrum, etc.
  • Extensive experience and proficiency with Golang, Python, and Django
  • Experience with Git, CI/CD pipelines, Helm, and automated testing frameworks
  • Ability to efficiently analyze and interpret complex code
  • Strongly resonating engineering curiosity and passion for experimentation
  • Proven ability to concurrently manage multiple projects and diligently produce deliverables
  • Excellent verbal and written communication skills, with the ability to transfer knowledge in a seamless and engaging manner
  • Deep understanding blockchain technology, covering areas like (but not limited to): consensus mechanisms, optimized transaction processing, Ethereum execution layer client improvements, etc.
  • Design, develop, and deploy experimental proof of concept architecture for applications and solutions, with a particular focus on scaling technologies and complex integrations
  • Execute end-to-end smart contract and infrastructure-related functionality deployments, including configuration of CI/CD pipelines and management of Docker components
  • Read, interact with, and efficiently streamline open source code interactions
  • Stay on top of innovation trends and produce feasible technical roadmaps in close cross-sectoral collaboration with engineering and product departments

DockerPythonBlockchainDjangoGitCI/CD

Posted 26 days ago
Apply
Apply

πŸ“ USA

🧭 Full-Time

πŸ’Έ 150000.0 - 256000.0 USD per year

πŸ” Cybersecurity and Systems Engineering

🏒 Company: SandboxAQπŸ‘₯ 101-250πŸ’° $25,000,000 Grant 4 months agoArtificial Intelligence (AI)SaaSInformation TechnologyCyber Security

  • 8+ years preferred, minimum 5 years of experience in software projects
  • Expertise in a system language (C/C++/Rust) and a higher level language (Python/Golang)
  • Deep knowledge of operating systems
  • MSc in Computer Science, Electrical Engineering, or equivalent
  • Experience in computer security and interest in cryptography
  • Collaborate with team members to define and implement new features
  • Design applications and perform data analysis pipelines
  • Deliver automated tests and documentation
  • Write technical design documents and hold reviews
  • Support other developers in skill growth

PythonSoftware DevelopmentCybersecurityData AnalysisKotlinC++RustDevOps

Posted about 1 month ago
Apply
Apply

πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 100000.0 - 120000.0 USD per year

πŸ” Software Development

  • Deep understanding of AI systems, including computer vision, LLMs, and RAG architectures, with specific interest in applying these to architectural and construction challenges.
  • Expert-level proficiency in React and TypeScript, with experience building complex web applications for technical users.
  • Demonstrated experience with AI-assisted development tools and platforms, with the ability to adapt these tools for construction industry applications.
  • Strong analytical abilities and creative problem-solving skills, particularly in addressing challenges unique to residential construction automation.
  • Interest in or experience with architectural design, construction processes, or building information modeling (BIM) is a plus.
  • Design and implement sophisticated AI systems that automate architectural design decisions, building code compliance, and construction documentation.
  • Create scalable solutions using computer vision, Large Language Models (LLMs), and Retrieval Augmented Generation (RAG) to interpret and optimize residential building plans.
  • Develop AI-powered systems that automatically generate construction documentation, material specifications, and building requirements from architectural inputs.
  • Lead the implementation of cutting-edge AI development tools, including Cursor, Claude, and O1 Pro, to enhance our platform's capabilities in automated home design and construction planning.
  • Drive technical decisions for special projects in our AI initiatives, balancing innovation with practical implementation requirements in the residential construction industry.
  • Build robust applications using React and TypeScript that make complex architectural automation accessible to builders and developers.
  • Stay at the forefront of AI technology trends in construction automation, evaluating new approaches to streamline the home building process.

Artificial IntelligenceFull Stack DevelopmentMachine LearningTypeScriptReact

Posted 2 months ago
Apply
Apply

πŸ“ USA

🧭 Full-Time

πŸ” AI and machine learning

  • PhD and 1+ years of experience in applied machine learning on computer vision or natural language processing tasks.
  • MS and 3+ years of work experience focused on delivering products (including internships and co-ops).
  • Strong coding and problem-solving skills.
  • Experience as a researcher/developer of ML taking projects from conception to production.
  • Strong ML experience in building datasets and models.
  • Work that focused on multimodal data and using active learning and other methodologies.
  • Experience with larger models (e.g., 1B+ parameters).
  • Experience with databases like PostgreSQL, SQL, MySQL.
  • Experience with front-end prototyping tools such as Streamlit and Dash.
  • Experience with cloud ML platforms like Vertex AI, Azure AI, and SageMaker.
  • Publications in top-tier conferences are highly desirable.
  • Establish and empirically demonstrate state-of-the-art approaches for data-centric model iteration and analysis.
  • Prototype end-to-end workflows with novel techniques and algorithms, synthesize results, and help transfer learnings into Snorkel products.
  • Work closely with design partners to validate work on real-world use cases with measurable impact.
  • Contribute to novel research on topics of interest by collaborating with other Snorkel Research scientists and affiliate scientists.

PostgreSQLPythonSQLCloud ComputingImage ProcessingMachine LearningPyTorchData engineeringTensorflowPrototyping

Posted 3 months ago
Apply
Apply

πŸ“ United States

🧭 Internship

πŸ” Machine Learning / Artificial Intelligence

🏒 Company: Hugging FaceπŸ‘₯ 51-200πŸ’° $235,000,000 Series D over 1 year agoSoftware Development

  • Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face.
  • We encourage you to mention your skills, potential expertise, and topics on which you would like to work.
  • During this internship, you will work specifically on agents that take screen recordings from any GUI and act through a mouse/keyboard setup.
  • You will improve the framework, prepare fine-tuning datasets, create training recipes, and manage inference orchestration.
  • You will leverage compute CPUs and H100 clusters for large-scale processing and model training.
  • The final code and model will be released for the community to build upon.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitJavaJavascriptMachine LearningNumpyPyTorchAlgorithmsData scienceGoPandasTensorflow

Posted 3 months ago
Apply
Apply

πŸ“ United States

🧭 Internship

πŸ” Artificial Intelligence

🏒 Company: Hugging FaceπŸ‘₯ 51-200πŸ’° $235,000,000 Series D over 1 year agoSoftware Development

  • Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face.
  • Mention your skills, potential expertise, and topics of interest.
  • Work specifically on agents capable of reasoning over data using code.
  • Handle the entire agent stack including preparation of fine-tuning datasets.
  • Develop training recipes and manage inference orchestration.
  • Utilize compute CPU and H100 clusters for large scale processing and model training.
  • Release full recipes and models for the community to build upon.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitKerasMachine LearningNumpyPyTorchAlgorithmsData scienceGoTensorflowProblem Solving

Posted 3 months ago
Apply
Apply

πŸ“ United States

🧭 Internship

πŸ” Machine Learning / Artificial Intelligence

🏒 Company: Hugging FaceπŸ‘₯ 51-200πŸ’° $235,000,000 Series D over 1 year agoSoftware Development

  • Provide a cover letter mentioning why you would like to work in open-source at Hugging Face.
  • Encourage mentioning skills, potential expertise, and topics of interest.
  • Work specifically on agents that can reason over data using code.
  • Involve in the whole agent stack including preparing fine-tuning datasets, training recipes, and inference orchestration.
  • Leverage compute CPU and H100 clusters for large scale processing and model training.
  • Release the full recipe and model serving for community use.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitMachine LearningNumpyPyTorchAlgorithmsData scienceGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationDocumentation

Posted 3 months ago
Apply
Apply

πŸ“ United States

πŸ” DevSecOps Security

🏒 Company: Qwiet AI

  • Bachelor's degree in Computer Science, Software Engineering or a related field, or equivalent experience.
  • 2 years of code auditing experience in one or more programming languages, such as Java, C#, JavaScript, Go, Python, Swift, Kotlin, Ruby, TypeScript, C, C++, Rust, Objective-C, or Scala.
  • A sophisticated understanding of OWASP's Top 10.
  • Knowledge of common vulnerability patterns.
  • Ability to identify patterns in vulnerabilities/vulnerability classes.
  • Demonstrable experience developing software in one or more programming languages mentioned above.
  • Desire to learn new frameworks and languages.
  • Knowledge of static analysis and compilers.
  • Strong problem-solving and analytical skills, along with attention to detail.
  • Excellent communication and interpersonal skills for collaboration.
  • Conduct research on emerging cybersecurity threats and related technology.
  • Communicate research findings to the team and the broader security community.
  • Create and improve policies to prevent and mitigate security vulnerabilities in code.
  • Help review customers applications to ensure vulnerability findings and other issues are captured accurately.
  • Develop new techniques and approaches to enhance customer code security practices.
  • Collaborate with Data Science and other teams to develop innovative and user-friendly solutions.

PHPPythonCybersecurityJavaJavascriptKotlinObjective-CRubySwiftTypeScriptC#C++GoRustAnalytical SkillsAttention to detail

Posted 4 months ago
Apply
Apply

πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 165000 - 206000 USD per year

πŸ” Music and Audio Technology

🏒 Company: SpliceπŸ‘₯ 101-250πŸ’° $55,000,000 Series D about 4 years agoMedia and EntertainmentMusicMachine LearningSoftware

  • Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
  • Proven track record in designing, training, evaluating, and deploying ML models in production.
  • 2+ years of hands-on experience with generative model architectures in audio, image, or language domains.
  • Specific experience with Latent Diffusion Models and Transformer-based architectures.
  • Proficiency in Python, C/C++, or CUDA and strong skills in ML frameworks like TensorFlow and PyTorch.
  • Experience with cloud services such as AWS, Azure, or GCP and containerization technologies like Docker and Kubernetes.
  • Familiarity with software development best practices and version control systems, e.g., Git.
  • Design, adapt, and optimize cutting-edge model architectures for generative audio/music applications.
  • Collaborate with Applied Researchers and ML Engineers to design, train, fine-tune, and deploy scalable models.
  • Explore and implement core building blocks in generative models such as VAEs, Neural Audio Codecs, GANs, and Transformers.
  • Integrate ML models into Splice’s products to enhance experiences for music creators.
  • Conduct performance benchmarking and evaluation to assess accuracy and quality of models.
  • Stay updated with advancements in machine learning and share insights with the team.
  • Document experiments and provide technical guidance to team members.

AWSDockerPythonSoftware DevelopmentArtificial IntelligenceGCPGitKubernetesMachine LearningPyTorchC++AzureTensorflowCollaboration

Posted 5 months ago
Apply