Why is remote work so nice? Let's try to see!
Apply
Research Engineer
Posted about 21 hours agoViewed
💸 Salary: 140000.0 - 275000.0 USD per year
🔍 Industry: Software Development
Requirements:
- Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.
- Experience in developing, experimenting, and deploying AI models at scale.
- Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).
- Experience with software engineering best practices (e.g., clean coding, modular design, version control).
- Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
- Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges.
- A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems.
Responsibilities:
- Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge
- Prototype and build end-to-end workflows, integrating research ideas into scalable systems.
- Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations.
- Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research.
- Work closely with real-world design partners, testing solutions in applied settings with measurable impact.
- Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes.
Related Jobs
Apply
🔥 Cloud Optimization Research Engineer - Azure
Posted 5 days ago
📍 United States
🔍 Cloud Cost Management
🏢 Company: CloudZero👥 101-250💰 $9,500,000 over 1 year agoDeveloper ToolsDevOpsCloud ComputingSaaSMachine LearningCloud ManagementSoftware
- Extensive experience with one or more major cloud platforms and services such as Google Cloud (GCP), Databricks, Snowflake, and Kubernetes.
- Expertise in identifying cloud inefficiencies and designing algorithms for cost optimization detection.
- Strong analytical skills and hands-on technical proficiency, with the ability to translate complex data into actionable insights.
- Excellent documentation and communication skills, with the ability to clearly articulate technical concepts.
- Experience collaborating with cross-functional teams, including data science, product, engineering, and customer success.
- A passion for staying ahead of industry trends and integrating innovative solutions into practical applications.
- Evaluate customer cloud workloads to pinpoint inefficiencies and cost-saving opportunities (e.g., optimizing compute instances, eliminating unattached storage, adjusting storage tiers).
- Document the methodologies, required data, and processes used in your analyses.
- Design scalable algorithms that automate the detection of cost waste, integrating seamlessly with our existing reporting and alerting system.
- Collaborate with our data science team to incorporate ML/AI techniques for enhanced insight generation.
- Lead research into new potential insights for cloud cost reduction.
- Build tests and validation methods to ensure the reliability of your optimization algorithms.
- Engage with customers to understand their cloud environments and tailor recommendations for cost optimization.
- Provide clear remediation guidelines and best practices that drive actionable change.
- Stay current on evolving cloud pricing models, industry trends, and best practices across Azure,AWS, GCP, and beyond.
- Contribute to developing standards that set new benchmarks for cloud cost efficiency.
Posted 5 days ago
ApplyApply
🔥 Cloud Optimization Research Engineer - AWS
Posted 5 days ago
📍 United States
🔍 Software Development
🏢 Company: CloudZero👥 101-250💰 $9,500,000 over 1 year agoDeveloper ToolsDevOpsCloud ComputingSaaSMachine LearningCloud ManagementSoftware
- Extensive experience with one or more major cloud platforms and services such as AWS, Google Cloud (GCP), Azure, Databricks, Snowflake, and Kubernetes.
- Expertise in identifying cloud inefficiencies and designing algorithms for cost optimization detection.
- Strong analytical skills and hands-on technical proficiency, with the ability to translate complex data into actionable insights.
- Excellent documentation and communication skills, with the ability to clearly articulate technical concepts.
- Experience collaborating with cross-functional teams, including data science, product, engineering, and customer success.
- Evaluate customer cloud workloads to pinpoint inefficiencies and cost-saving opportunities (e.g., optimizing compute instances, eliminating unattached storage, adjusting storage tiers).
- Document the methodologies, required data, and processes used in your analyses.
- Design scalable algorithms that automate the detection of cost waste, integrating seamlessly with our existing reporting and alerting system.
- Collaborate with our data science team to incorporate ML/AI techniques for enhanced insight generation.
- Lead research into new potential insights for cloud cost reduction.
- Build tests and validation methods to ensure the reliability of your optimization algorithms.
- Engage with customers to understand their cloud environments and tailor recommendations for cost optimization.
- Provide clear remediation guidelines and best practices that drive actionable change.
- Stay current on evolving cloud pricing models, industry trends, and best practices across AWS, Azure, GCP, and beyond.
- Contribute to developing standards that set new benchmarks for cloud cost efficiency.
Posted 5 days ago
ApplyApply
🔥 Cloud Optimization Research Engineer - GCP
Posted 5 days ago
🏢 Company: CloudZero👥 101-250💰 $9,500,000 over 1 year agoDeveloper ToolsDevOpsCloud ComputingSaaSMachine LearningCloud ManagementSoftware
Posted 5 days ago
ApplyApply
🔥 Research Engineer / Scientist
Posted 8 days ago
🧭 Full-Time
🔍 AI
🏢 Company: Avra👥 11-50💰 Non-equity Assistance 6 months agoInformation TechnologyCredit Bureau
- At least 5 years in designing, implementing, and monitoring impactful machine learning models.
- Bachelor’s degree (preferably with a specialization or Master’s) in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field.
- Extensive experience with modern deep learning frameworks (preferably PyTorch) and a solid understanding of state-of-the-art modeling techniques.
- Strong ability to design experiments, evaluate model performance, and implement algorithmic improvements based on the latest research.
- Excellent communication skills and experience working in agile, cross-functional teams.
- Design, implement, and refine new machine learning and deep learning architectures by staying current with academic research and reading relevant papers daily.
- Build, test, and monitor robust data pipelines and training processes, ensuring scalability and reliability in production environments.
- Adapt and optimize our foundational models for various client needs, leveraging experimentation and hyperparameter tuning platforms.
- Develop diverse AI-driven applications that integrate seamlessly with our platform, translating research insights into real-world solutions.
- Collaborate with engineering and product teams to transform complex business challenges into technical solutions that harness the power of frontier research.
- Take full technical ownership of research projects, making strategic decisions that directly influence the evolution of our products.
Posted 8 days ago
ApplyApply
🔥 Senior Machine Learning Research Engineer - Generative Models
Posted 18 days ago
📍 United States, UK
🧭 Full-Time
💸 165000.0 - 206000.0 USD per year
🔍 Music
🏢 Company: Splice👥 101-250💰 $55,000,000 Series D about 4 years agoMedia and EntertainmentMusicMachine LearningSoftware
- Master's or PhD degree in Electrical Engineering, Computer Science or related Engineering discipline.
- Proven ability and track record designing, training, evaluating and deploying machine learning models in production environments, powering real applications.
- 2+ years of hands-on experience with generative models architectures in the audio, image or language domains. Specific experience with Latent Diffusion Models and Transformer-based architectures is a must.
- Proficiency in Python, C/C++, or CUDA. Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch).
- Hands-on experience with cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Design, adapt and optimize cutting-edge model architectures for generative audio/music applications, leveraging state-of-the-art deep learning techniques for audio/music synthesis.
- Collaborate with other Applied Researchers and Machine Learning Engineers to design, train, fine-tune, and deploy scalable models to production.
- Explore and implement core building blocks in generative models, such as general Variational Autoencoders (VAEs), Neural Audio Codecs (RVQ / VAE), GANs, Diffusion Models, and Transformer-based architectures.
- Contribute to integrating machine learning models into Splice’s products, delivering new and creative experiences for music creators.
- Performance Benchmarking and Evaluation**:** design and run experiments to benchmark the accuracy, quality and performance of trained models.
- Stay current with the latest advancements in machine learning applied to generative models in the audio domain, incorporating and sharing relevant insights into the applied research process.
- Documentation and Knowledge Sharing**:** document experiments, best practices, and lessons learned to facilitate knowledge sharing and maintain reproducibility. Provide technical guidance and training to team members on model training, evaluation, deployment and optimization techniques.
AWSDockerPythonCloud ComputingGitKubernetesMachine LearningPyTorchC++AlgorithmsData StructuresTensorflow
Posted 18 days ago
ApplyApply
🔥 Senior Research Engineer, Artificial Intelligence
Posted 23 days ago
📍 Ireland
🧭 Full-Time
🔍 Artificial Intelligence
🏢 Company: Rithum LinkedIn Board
- 3+ years of AI/ML experience with a strong technical and strategic focus, including expertise in machine learning algorithms, NLP, computer vision, and large-scale deployment.
- Proven leadership in high-impact AI projects, with a history of mentoring team members and developing innovative methods that drive departmental objectives.
- Proficiency in Python, TensorFlow/PyTorch, and cloud platforms, along with experience in creating data systems for feature stores and vector databases.
- Strong communication skills, adept at visualizing and presenting complex data insights to technical and non-technical audiences.
- Exceptional problem-solving abilities, with a record of delivering data-driven solutions to complex business challenges.
- Experienced collaborator with cross-functional teams, working closely with product managers, engineers, and business leaders.
- Independently lead high-impact AI initiatives, aligning departmental strategies with Rithum’s business objectives to deliver sustainable, client-focused solutions.
- Leverage technical expertise to design scalable, high-performance AI solutions, creating reliable, reusable systems and mentoring team members to uphold high standards and reduce complexity.
- Address complex, ambiguous problems with advanced judgment and strategic solutions, ensuring robustness and adaptability to meet both current and future organizational needs.• Collaborate across teams, adapting communication to align AI initiatives with business goals and building strong networks with key stakeholders to foster innovation and quality.
- Guide decision-making at departmental and company levels, driving AI project priorities and execution to shape Rithum’s strategic roadmap and influence global teams.
- Ensure delivery of reliable, scalable solutions that meet business needs and drive future growth. Lead in setting standards, principles, and roadmaps for durable, sustainable systems across the organization.
- Apply AI and ML expertise to create high-impact solutions, influence cross-disciplinary methods, and develop frameworks for immediate and long -term success. Serve as a recognized expert, promoting knowledge-sharing and advancing AI capabilities across Rithum.
- Responsible for mentoring and developing other engineers within their subject matter expertise.
PythonArtificial IntelligenceCloud ComputingData AnalysisMachine LearningPyTorchTensorflow
Posted 23 days ago
ApplyApply
🔥 Research Engineer, Tokens
Posted 23 days ago
📍 United States
🧭 Full-Time
💸 280000.0 - 425000.0 USD per year
🔍 Artificial Intelligence
🏢 Company: Anthropic👥 501-1000💰 $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 23 days ago
ApplyApply
🔥 Research Engineer (Incubator)
Posted 25 days ago
📍 United States, Canada
🧭 Full-Time
🔍 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 25 days ago
ApplyApply
🔥 Research Engineer - Data
Posted 29 days ago
📍 United Kingdom
🧭 Fulltime
🔍 AI
🏢 Company: Leonardo.Ai
- Hands-on experience with images, videos, 3D geometry (mesh/solid modeling), and/or text data.
- Well-rounded expertise in Python and PyTorch.
- Demonstrated proficiency in setting up large-scale, robust data pipelines, using frameworks like Spark, Ray, or Metaflow.
- Comfortable with model versioning, and experiment tracking.
- Good understanding of parallel and distributed computing.
- Experienced with setting up evaluation methods
- Experience with AWS, Azure, or other cloud platforms.
- Proficient in both relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, plus vector data stores.
- Lead the ingestion, unification, and organization of large, unstructured data sources (e.g., text, images, 3D geometry, code snippets) into scalable, high-quality datasets suitable for machine learning research and production.
- Develop and optimize distributed systems for data processing, including filtering, indexing, and retrieval, leveraging frameworks like Ray, Metaflow, Spark, or Hadoop.
- Build and orchestrate pipelines to generate synthetic data at scale, advancing research on cost-efficient inference and training strategies.
- Design and conduct experiments on dataset quality, scalability, and performance.
- Collaborate with legal and safety teams to ensure all data usage respects privacy, security, and ethical standards.
- Contribute to internal and external libraries or frameworks, sharing insights and breakthroughs with the wider AI community through publications or technical blogs.
AWSDockerPostgreSQLPythonSQLCloud ComputingData AnalysisETLHadoopImage ProcessingKubernetesMachine LearningMLFlowMongoDBMySQLPyTorchAlgorithmsAzureCassandraData engineeringData scienceData StructuresREST APINosqlSparkCI/CDJSONData modeling
Posted 29 days ago
ApplyApply
🔥 Senior/Staff Systems Research Engineer - R&D
Posted about 1 month ago
📍 USA
🧭 Full-Time
💸 150000.0 - 256000.0 USD per year
🔍 Cybersecurity and Systems Engineering
🏢 Company: SandboxAQ👥 101-250💰 $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
ApplyRelated Articles
Posted 7 months ago
Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?
Posted 7 months ago
Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.
Posted 7 months ago
Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.
Posted 7 months ago
Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.