Bright Vision Technologies Logo

Bright Vision Technologies

AI Scientist

Posted 7 Days Ago
Be an Early Applicant
In-Office
Foster City, CA, USA
100K-100K Annually
Senior level
In-Office
Foster City, CA, USA
100K-100K Annually
Senior level
Conduct applied AI research and build production-grade machine learning systems. Responsibilities include framing problems, training and evaluating deep learning models, adapting current research, developing scalable pipelines, deploying models with observability and safeguards, and continuously improving solutions. The role also involves distributed and mixed-precision training, collaboration across research and engineering, and communicating complex methods clearly.
The summary above was generated by AI
AI Scientist – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Scientist
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an AI Scientist to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Required Qualifications
  • Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience.
  • Six or more years of combined research and applied ML engineering experience.
  • Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
  • Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale.
  • Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML.
  • Experience taking ML models from research prototype to production with appropriate observability and safeguards.
  • Familiarity with distributed training, mixed-precision training, and accelerator hardware.
  • Strong written and verbal communication skills, including ability to explain complex methods clearly.
  • Demonstrated ability to read, evaluate, and adapt techniques from current research literature.
  • Track record of shipping impactful applied AI projects.
Preferred Qualifications
  • Published research at top-tier AI/ML venues.
  • Experience with large language model training, fine-tuning, or evaluation.
  • Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
  • Exposure to responsible AI, model evaluation, and alignment practices.
  • Experience contributing to open-source ML projects.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]
Bright Vision Technologies is an Equal Opportunity Employer.

Similar Jobs

13 Days Ago
In-Office
San Jose, CA, USA
145K-336K Annually
Expert/Leader
145K-336K Annually
Expert/Leader
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop GenAI, machine learning, deep learning, and analytics solutions for ASIC semiconductor engineering workflows. Build LLM and agentic systems using prompting, RAG, Graph-RAG, benchmarking, and evaluation. Deploy and monitor production AI/ML solutions in cloud and enterprise environments, collaborate with architecture, design, data science, and IT teams, and communicate technical insights to diverse stakeholders.
Top Skills: AWSAzureClaude CodeCSSCursorGCPGemini CliGraph-RagHTMLJavaScriptLlmsMatplotlibPandasPlotlyPythonRagScikit-Learn
13 Days Ago
In-Office
San Jose, CA, USA
119K-286K Annually
Mid level
119K-286K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and productionize GenAI, LLM, machine learning, and analytics solutions for ASIC semiconductor engineering. Build agentic systems, RAG workflows, predictive models, and failure-analysis tools; deploy and monitor AI solutions in cloud and enterprise environments; collaborate with architecture, design, data science, and IT teams; and communicate technical findings while identifying opportunities to improve engineering productivity, quality, cost, and cycle time.
Top Skills: AWSAzureClaude CodeCSSCursorDeep LearningGCPGemini CliGraph-RagHTMLJavaScriptLlmsMachine LearningMatplotlibPandasPlotlyPythonRagScikit-Learn
18 Days Ago
Hybrid
Mountain View, CA, USA
160K-244K Annually
Senior level
160K-244K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the development and production deployment of machine learning, generative AI, and multi-agent solutions. Translate business problems into scalable AI products, build models and data pipelines, architect cloud and lakehouse systems, and implement MLOps, LLMOps, evaluation, governance, security, and monitoring. Partner with cross-functional stakeholders, communicate technical outcomes, troubleshoot production issues, mentor teammates, and shape the strategic roadmap for enterprise AI capabilities across Azure, Databricks, AWS, and GCP.
Top Skills: Agent OrchestrationAmazon BedrockAmazon EksAmazon EmrAmazon S3SparkAws GlueAws LambdaAws SagemakerAzure Ai FoundryAzure Data FactoryAzure Data Lake Storage Gen2Azure DatabricksAzure DevopsAzure Event HubsAzure FunctionsAzure Key VaultAzure Kubernetes ServiceAzure Machine LearningAzure MonitorAzure OpenaiBigQueryCi/CdCloud RunDatabricks LakehouseDatadogDataflowDelta LakeDockerEmbeddingsFastapiFivetranFoundation ModelsFunction CallingGeminiGitGitGithub ActionsGoogle Cloud StorageGoogle Kubernetes EngineGoogle Vertex AiHelmInfrastructure As CodeJupyterKubernetesLarge Language ModelsLightgbmLlmopsMlflowMlopsMosaic AiNumpyOpenapiOpentelemetryPandasPower BIPrompt EngineeringPub/SubPysparkPythonPyTorchRest ApisRetrieval-Augmented GenerationScikit-LearnScipySQLTensorFlowTerraformUnity CatalogVector DatabasesXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account