Remote Deep Learning Developer Jobs

Requirements

• Set technical direction for projects developing and applying safety methods and pipelines
• Engage with stakeholders to translate mission needs and operational constraints into actionable safety requirements
• Lead projects and programs to design, implement, and validate model evaluation for cutting edge AI
• Translate cutting-edge research into mission-relevant tools and prototypes

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Defines and leads research agendas in areas such as explainable AI, adversarial machine learning, AI safety, and the science of deep learning.
• Designs and executes rigorous ML experiments at scale, including large-scale training and evaluation on HPC infrastructure.
• Develops novel evaluation methodologies that go beyond standard performance metrics to assess generalization, robustness, and out-of-distribution behavior.
• Analyzes the internal structures and representations of deep learning models, with emphasis on large language models and large vision models.
• Interprets empirical results to identify promising research directions and guide strategic investment of team resources.
• Establishes best practices for research code quality, reproducibility, and integration into operational pipelines.
• Mentors junior researchers and engineers, fostering a culture of scientific rigor and collaborative inquiry.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Retirement Plan
• Training Budget

Skills

Requirements

• Designs and executes rigorous ML experiments following community best practices
• Evaluates AI systems across multiple dimensions
• Analyzes the internal structures and representations of deep learning models
• Writes high-quality, well-documented research code
• Contributes to publications and technical reports
• Collaborates with senior researchers, engineers, and cross-functional teams
• Conducts work in secure environments with adherence to operational security requirements

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Retirement Plan
• Training Budget

Skills

Requirements

• Proven technical leadership with 5+ years of team management or leadership experience
• PhD or equivalent experience, in Computer Science, or related technical field is helpful
• Demonstrated expertise in ML research and/or ML production deployment lifecycle
• Deep understanding of LLM
• Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
• Ability to formulate a research problem, design, experiment, implement and communicate solutions
• Ability to work in a diverse collaborative environment
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• 10+ years of experience in AI/ML space
• Bachelor’s degree in quantitative field (Computer Science, Engineering, Data Science, Mathematics)
• Deep technical understanding of AI/ML in the context of governance, controls, and compliance
• Wide and deep grasp of the components and mechanics of traditional ML, deep learning multi-modal models, and agentic construct
• Proven success managing large scale, complex AI/ML related initiatives with cross functional stakeholders
• Strong demonstrated technical writing skills geared to technical, regulatory, and executive audiences
• Proven technology practitioner with specialized focus on data management

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Develop and implement evaluation frameworks for generative AI
• Collaborate with cross-functional teams to ensure AI governance and compliance
• Communicate effectively with stakeholders on AI metrics and standards
• Enforce AI standards across all platforms, vendors, and capabilities
• Stay up-to-date with industry trends and advancements in AI

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Strong research or product deployment record in areas related to responsible AI
• Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
• Proficient programming skills in Python and deep learning toolkits
• Work with highly-sensitive content with exposure to offensive and controversial content
• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Stock Options

Skills

Requirements

• Design and implement advanced evaluation methods for LLMs and ML systems
• Build and maintain high-quality evaluation datasets, golden sets, challenge sets, and red-teaming corpora
• Develop reusable evaluation harnesses and pipelines that support multi-agent workflows, tool use, and retrieval-augmented generation scenarios
• Conduct empirical analyses, including statistical tests, error analysis, and ablation studies, to identify model weaknesses and guide model and product improvements
• Integrate evaluation metrics and signals into model training loops, deployment gating checks, and continuous monitoring processes
• Prototype and validate novel evaluation algorithms inspired by current research in LLM safety, interpretability, and reliability
• Produce clear, actionable evaluation reports that translate technical findings into insights for engineering, modeling, product, and business stakeholders

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• PhD or equivalent experience in Computer Science or related technical field
• Demonstrated expertise in ML research and/or ML production deployment lifecycle
• Deep understanding of LLM
• Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
• Ability to formulate a research problem, design, experiment, implement and communicate solutions

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Stock Options

Skills

Requirements

• Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
• Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets.
• Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models.
• Work in Distributed Cluster / Cloud environments with large-scale datasets ranging from transactions to large document collections.
• Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives.
• Implement benchmark models as applicable.
• Conduct R&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills