AI Jobs

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 6+ years in Applied ML/DS/AI

• 2+ years leading multi-workstream ML programs or teams

Other Requirements:

• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow)

• Healthcare curiosity and comfort with privacy/safety compliance

• Strong program management fundamentals

Responsibilities:

• Own the multi-track plan for ML projects from scoping to delivery

• Run the operating rhythm: backlog, sprint planning, and stand-ups

• Align Product, Engineering, Clinical, and Customer teams around priorities

• Review designs, sanity-check experiments, and partner on MLOps best practices

• Mentor ML engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 3–6 years of experience in applied ML

• 1–2 years working with LLMs

Other Requirements:

• Strong Python skills

• Familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain)

• Comfort with embeddings and vector search

• Experience in healthcare or regulated environments

Responsibilities:

• Own and optimize pipelines combining classical ML and LLM systems

• Fine-tune and evaluate LLMs using open-source and proprietary data

• Collaborate with teams to build healthcare applications

• Implement retrieval strategies and prompt chaining

• Monitor model quality, latency, and safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• PhD or Master’s in ML, CV, NLP, or related field

Experience Requirements:

• 5+ years of experience working on vision or VLMs

• Proven experience applying ML to healthcare documents or medical imaging

Other Requirements:

• Hands-on with PyTorch, HuggingFace, OpenCLIP

• Deep understanding of HIPAA and PHI protection

• Comfortable with RAG pipelines

Responsibilities:

• Research and build state-of-the-art VLM pipelines for medical documents

• Fine-tune or adapt models like BLIP-2, LLaVA, GLaMM

• Develop multimodal grounding strategies for RAG and Agent workflows

• Evaluate models for factuality, safety, and explainability

• Collaborate with product engineers to deploy models at scale

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

• Track record in production grade models in a regulated industry

Other Requirements:

• Expertise in GPT, BERT, and computer vision models

• Proficient in Python, TensorFlow, PyTorch

• Working knowledge of MLOps and LLMOps (mlflow, kubeflow)

Responsibilities:

• Fine-tune or prompt engineer LLMs for healthcare applications

• Develop vision-based models for medical document analysis

• Create classic NLP models for clinical documentation

• Ensure efficient model deployment and scalability

• Mentor junior engineers and data scientists

Benefits:

• Professional development budget

• Exposure to founders and new technologies

• Full-stack ownership of customer programs

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

Other Requirements:

• Hands-on expertise with LLMs (GPT, BERT) and CV models

• Proficiency in Python and ML frameworks like PyTorch

• Knowledge of Cloud ML Platforms (Azure ML, Sagemaker)

Responsibilities:

• Fine-tune LLMs for healthcare applications

• Develop state-of-the-art VLM models for medical document analysis

• Create classic NLP models for patient interaction

• Manage model deployment in production environments

• Mentor junior staff

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor’s degree in a healthcare-related field

Experience Requirements:

• 5+ Years of experience in healthcare data/research

Other Requirements:

• Knowledge of clinical coding systems (ICD-10, CPT, SNOMED CT)

• Familiarity with EMR systems

• Certification in medical coding (CPC, CCS) preferred

Responsibilities:

• Provide clinical guidance for AI co-pilots

• Develop annotation guidelines for healthcare data

• Review and annotate clinical documents like EMRs and medical charts

• Tag data using standard clinical terminologies

• Perform quality control and inter-annotator agreement checks

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• MD, DO, or equivalent

Experience Requirements:

• 10+ years of clinical practice

Other Requirements:

• Background in utilization management and health system workflows

• Experience launching digital health or AI solutions

• Familiarity with regulatory standards (CMS, FDA)

Responsibilities:

• Define and champion the clinical vision across the platform

• Lead clinical validation and QA protocols

• Hire, mentor, and lead a clinical organization

• Serve as trusted clinical executive for enterprise customers

• Build a Clinical Governance Framework for AI safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years in SRE/CloudOps roles

Other Requirements:

• Expertise in AWS, Azure, and GCP

• Hands-on experience with Terraform, Kubernetes, and Docker

• Scripting skills in Python, Bash, or Go

Responsibilities:

• Design and manage multi-cloud infrastructure

• Build deployment workflows using Terraform and CI/CD tools

• Define and uphold SLAs/SLOs and incident management

• Implement security controls for HIPAA and SOC2

• Configure AI platform and solutions at customer deployments

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years of hands-on experience in information security

Other Requirements:

• Focus on healthcare systems (EHRs, claims)

• Familiarity with HIPAA, HITECH, and SOC 2

• Cloud security background (Azure, GCP, AWS)

Responsibilities:

• Single point of contact for security and compliance

• Design security protocols for healthcare workflows

• Lead security assessments and penetration tests

• Embed security into the SDLC

• Conduct periodic vulnerability checks and internal training

Education Requirements:

• Bachelor’s degree in Robotics Engineering, Mechanical, Electrical, Computer Engineering, or Computer Science

Experience Requirements:

• 2-5 years of experience supporting operations, new product introduction, or application development

Other Requirements:

• Willingness to travel to client sites domestically as required up to 30% of the time

• Work From Office at HQ is a must

• Experience in onsite customer support and collaborating with remote teams

• Proficiency in writing, maintaining, and implementing software code

• Familiarity with sensors, cameras, or other robotics-related functions is highly desirable

Responsibilities:

• Collaborate with program managers and clients to understand project requirements and objectives

• Conduct site visits to understand customer requirements and assess deployment needs

• Install, configure, and calibrate robotic, computer vision, and automation systems

• Generate comprehensive reports and develop software solutions for testing and validation purposes

• Assist in the acquisition and analysis of data and images from our robotic systems

Benefits:

• Competitive compensation and benefits packages

• Professional growth and development

Education Requirements:

• BS degree or higher in Computer Science, Engineering, or related fields

Experience Requirements:

• 4+ years of experience as a DevOps or DevSecOps Engineer

• 2+ years of experience in US Government classified networks

• Experience with containerization (Docker, Kubernetes, Helm)

• Experience with GitOps, Terraform, and cloud environments (AWS, Azure, etc.)

Other Requirements:

• Active US DoW or Intelligence TS/SCI clearance

• CompTIA Security+ Certification

• MUST be on-site at MacDill AFB

• Eligible to work in the US without sponsorship

Responsibilities:

• Deploy the Legion Intelligence product in US government compute environments

• Develop automation scripts for provisioning and monitoring

• Ensure high availability and disaster recovery

• Integrate with external authentication and mission data systems

• Prepare packages for ATO and CTF security requirements

Benefits:

• Mission-Driven Work

• Unparalleled Opportunity

• Career Growth

• World-Class Environment

• Flexible working environment

Education Requirements:

• Bachelor’s or master’s degree in a relevant discipline

• Focus on business, technology, or a related field

Experience Requirements:

• Proven experience in managing and delivering AI and technology projects

• Previous consulting experience – preferably from a MBB firm

• Track record of leading cross functional teams

• Technical background in AI or a related field

Other Requirements:

• Strong leadership and project management skills

• Excellent communication and interpersonal skills

• Deep understanding of AI technologies, methodologies, and best practices

Responsibilities:

• Craft groundbreaking solutions using AI technology

• Establish and maintain relationships with stakeholders

• Bridge the gap between client requirements and technical implementation

• Develop and implement strategic initiatives for AI delivery

• Lead the identification and pursuit of new business opportunities

Benefits:

• Paid Time Off and Holidays

• Health, Dental and Vision Insurance

• 401(k) retirement plan with company match

• Flex and Health Savings Plans

• Company-paid life and short-term disability insurance

Education Requirements:

• Bachelor’s degree in engineering

Experience Requirements:

• 3+ years of experience in a technical engineering role

• Oil & Gas field experience

Other Requirements:

• Systems-oriented mindset with ability to build workflows

• Comfort working with AI tools and automation platforms

• Ability to operate independently in high-ambiguity environments

• Willingness to travel up to 25% within region

• Demonstrate a strong nutrition facts show in this blog post

Responsibilities:

• Own regional frac transportation execution to ensure customer capacity commitments are consistently met

• Serve as the operational authority across carriers, fleet assets, and field coordination within the assigned region

• Drive regional KPIs including utilization, turn times, carrier performance, safety metrics, and cost per stage

• Act as primary escalation point for operational disruptions and customer-impacting events

• Maintain complete visibility and accountability for fleet and asset status

Benefits:

• Paid Time Off and Holidays

• Health, Dental and Vision Insurance

• 401(k) retirement plan with company match

• Flex and Health Savings Plans

• Company-paid life and short-term disability insurance

Education Requirements:

• Bachelor’s degree (B.A.)

• HSE / DOT compliance certification

Experience Requirements:

• 10+ years of leading and mentoring HSE professionals in the trucking industry

• Must have corporate rep deposition experience

• Experience with brokerage operations preferred

• Experience with client representation in hearings, depositions, and mediations

• Prior oilfield experience required

Other Requirements:

• Subject matter expert in all matters related to USDOT roadside inspections

• Expertise with drug & alcohol policies and procedures

• Experience in writing policy and procedures for compliance with USDOT/FMCSA regulations

• Fluency in speaking and writing in Spanish, preferred but not required

• Proficiency in Microsoft Office (outlook, excel, word)

Responsibilities:

• Lead and mentor the Carrier Auditing, Claims and Field HSE / DOT teams

• Manage the vetting and ongoing compliance for roughly 1,000 brokered motor carriers

• Ensure state and national compliance with HSE / DOT regulations

• Ensure carrier compliance with established journey management plans

• Oversee and lead incident investigation and root cause analysis

Benefits:

• Competitive compensation package

• Equity

• Paid Time Off and Holidays

• Health, Dental and Vision Insurance

• 401(k) retirement plan with company match

Education Requirements:

• Advanced degree (MS/PhD preferred) in a quantitative field such as Computer Science, Applied Math, or Engineering

Experience Requirements:

• Experience with ML frameworks such as TensorFlow, PyTorch, or Keras

• Solid background in algorithms, optimization, neural networks, and reinforcement learning

• Proven track record of independently delivering complex engineering and ML projects

• Familiarity with path and function optimization methods including linear programming

Other Requirements:

• 10× velocity

• First-principles thinking

• Strong fundamentals

• Grit to solve real-world problems where data is imperfect

Responsibilities:

• Fine-tune large language models (LLMs) including LLaMA, Mistral, and Falcon

• Design and deploy AI agents capable of task execution and decision-making leveraging retrieval-augmented generation (RAG)

• Integrate embedding databases (ChromaDB, FAISS) and graph-based retrieval (G-RAG) using Neo4j

• Optimize and deploy models using vLLM, TensorRT, and DeepSpeed for low-latency, scalable inference

• Solve complex problems using mechanistic and statistical approaches

Benefits:

• Competitive compensation package

• Equity

• Paid Time Off and Holidays

• Health, Dental and Vision Insurance

• 401(k) retirement plan with company match

Experience Requirements:

• 3+ years of professional software engineering experience delivering production systems at scale

• Strong background in product driven backend development

• Deep understanding of what makes systems performant, scalable, and maintainable

• Fluency with SQL schema design and data modeling for transactional & analytical workloads

Other Requirements:

• Demonstrated ability to leverage LLMs/AI agents to boost velocity and solve novel problems

• Superior product reasoning skills

• Exceptional written & verbal communication

• Startup experience

• Experience stabilizing and scaling large code bases

Responsibilities:

• Design, build, and operate services used daily by shippers, carriers, and drivers

• Automate developer-dependent tasks to accelerate internal and customer automation efforts

• Embed AI/LLMs to automate decision‑making and super‑charge developer productivity

• Stabilize backend services

• Own Problems end to end

Benefits:

• Competitive compensation package

• Equity

• Paid Time Off and Holidays

• Health, Dental and Vision Insurance

• 401(k) retirement plan with company match

Experience Requirements:

• 3+ years of professional software engineering experience delivering production systems at scale

• Strong background in component‑driven front‑end engineering (Angular, Vue, React, or Svelte)

• Fluency with SQL schema design and data modeling for transactional & analytical workloads

Other Requirements:

• Demonstrated ability to leverage LLMs/AI agents to boost velocity and solve novel problems

• Superior product reasoning skills

• Exceptional written & verbal communication

• Experience stabilizing and scaling large code bases

Responsibilities:

• Design, build, and operate services and UIs used daily by shippers, carriers, and drivers

• Embed AI/LLMs to automate decision‑making and super‑charge developer productivity

• Stabilize back end services

• Own Problems end to end

Benefits:

• Paid Time Off and Holidays

• Health, Dental and Vision Insurance

• 401(k) retirement plan with company match

• Flex and Health Savings Plans

• Company-paid life and short-term disability insurance

Education Requirements:

• Bachelor’s degree in engineering

Experience Requirements:

• 3+ years of experience in a technical engineering role

Other Requirements:

• Systems-oriented mindset with ability to build workflows

• Comfort working with AI tools and automation platforms

• Ability to operate independently in high-ambiguity environments

• Willingness to travel up to 25% within region

• Demonstrate a strong nutrition facts show in this blog post

Responsibilities:

• Own regional transportation execution to ensure customer capacity commitments are consistently met

• Serve as the operational authority across carriers, fleet assets, and field coordination within the assigned region

• Drive regional KPIs including utilization, turn times, carrier performance, and safety metrics

• Act as primary escalation point for operational disruptions and customer-impacting events

• Maintain complete visibility and accountability for fleet and asset status

Benefits:

• Flexible working hours to accommodate your university schedule

• Valuable hands-on experience in the field of sales automation

• Opportunity to work with a dynamic and collaborative team

• Experience integrating features cross teams and leading it to production

Experience Requirements:

• 4+ years of experience as a full-stack software developer

• 3+ years of experience with Python

• 2+ years experience with JavaScript, React

• Django, Flask or similar frameworks

• Experience with PostgreSQL, knowledge of indexes and query optimization

Other Requirements:

• Comfortable working in Mac/Linux environment

• Experience with Kubernetes

• Experience Working with Docker

• Experience with cloud AWS or similar

• Strong written and verbal communication skills in English and Hebrew

Responsibilities:

• Software designs

• Development

• Cross teams integration

• Deployment of features

• Work closely with project managers, product owners, and other stakeholders

Experience Requirements:

• 3+ years of experience in technical writing, UX writing, or related fields

• Experience creating and managing B2B technical content such as whitepapers, case studies, and technical blog posts

Other Requirements:

• Strong writing skills with the ability to read, write, and edit technical documentation in both Korean and English

• Comfortable with technical communication through verbal English conversations

• Proficiency with collaboration tools (GitHub, Notion, Loop, etc.)

• Adaptability to rapidly evolving AI and technology sectors

• Basic understanding of Linux-based networking, GPUs, hardware virtualization, and container technologies

Responsibilities:

• Create technical documentation that clearly explains product features and concepts

• Develop co-marketing materials, solution briefs, and whitepapers related to partner solution integrations

• Collaborate with marketing and sales teams to identify topics for technical blogs and review content

• Review and improve Korean and English documents written by team members

• Work with DevOps teams during feature development to establish clear technical terminology