field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

city

state

<h3>Job Description</h3>
Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned.
 
They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you’re energized by early-stage ownership and solving hard problems that matter, you’ll thrive here.
 
What You’ll Work On
<ul>
<li>Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment</li>
<li>Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights</li>
<li>Transforming research concepts into scalable production systems used by enterprise customers</li>
<li>Architecting efficient, privacy-conscious model-serving infrastructure</li>
<li>Collaborating across engineering, product, and research to rapidly experiment and iterate</li>
<li>Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter</li>
</ul>
 
Who Thrives Here
<ul>
<li>Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)</li>
<li>Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems</li>
<li>Candidates coming from top CS programs or AI-first startups where they’ve shipped real, user-facing ML/AI features</li>
<li>People who enjoy working in ambiguous, zero-to-one environments and want significant ownership</li>
<li>Curious thinkers who care about model performance, reliability, and how their work impacts real users</li>
<li>Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale</li>
</ul>
 
Why This Role Is Compelling
<ul>
<li>You’ll build foundational AI systems at a moment where the company is scaling quickly</li>
<li>Your work will directly shape how customers interact with and benefit from AI</li>
<li>You’ll partner closely with experienced founders and senior engineers who value autonomy and deep thinking</li>
<li>You’ll have room to experiment, influence architecture, and meaningfully impact technical direction</li>
<li>You’ll join early enough to feel the upside, but after core customer traction is already proven</li>
</ul>
 
What's On Offer
<ul>
<li>A high-ownership engineering role with scope to grow into senior or staff pathways</li>
<li>A culture that balances speed with thoughtful engineering</li>
<li>Mission-driven work with clear real-world utility</li>
<li>Competitive compensation, strong equity, and flexibility in how you build</li>
</ul>
 
If you’re excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we’d love to talk.

AI/ML Engineer - Build Core Intelligence for a New Class of Enterprise AI Products

<h3>Job Description</h3>
An early-stage, venture-backed company building a high-performance intelligence platform powered by advanced machine learning and proprietary data processing techniques is in the search for a VP of Engineering. The core mission is to bring order and clarity to vast, messy datasets by uncovering actionable insights through scalable systems and bleeding-edge algorithms.
 
The company is solving one of the most painful problems in enterprise data operations: surfacing causality, anomalies, and performance metrics across fragmented systems. This requires deep technical thinking, cross-functional collaboration, and a culture rooted in adaptability and speed.
 
The Role
We're seeking a VP of Engineering to lead the company’s growing technical team through its next phase. This is a unique opportunity for a startup-seasoned engineering leader who thrives in ambiguity, excels at building from the ground up, and knows how to scale both teams and technology.
 
This is not a “hands-off” role. You’ll be in the trenches helping shape architecture, unblock engineers, and guide strategy while also hiring, coaching, and building a resilient, high-performing culture.
 
What You’ll Own
<ul>
<li>Leadership &amp; Team Building: Scale the engineering org significantly, while maintaining velocity, trust, and strong developer culture</li>
<li>Technical Stewardship: Guide architecture decisions across the data platform, distributed systems, and backend infrastructure</li>
<li>Operational Excellence: Bring rigor and structure to how the company builds, deploys, and measure progress as the team and product scales</li>
<li>Product Partnership: Collaborate cross-functionally to deliver fast, iterate quickly, and balance short-term execution with long-term bets</li>
<li>Recruitment &amp; Mentorship: Attract world-class engineers and help existing team members grow into leadership roles</li>
</ul>
 
What You Bring
<ul>
<li>Experience Scaling Startups: You've done the early-stage thing before (must-have) and still love it. Ideally, you've been through the zero to one journey more than once.</li>
<li>Leadership Acumen: 4+ years in engineering leadership roles, with experience leading teams of 10+ engineers</li>
<li>Technical Breadth: Strong understanding of distributed systems, cloud-native environments, and modern data infrastructure</li>
<li>Bias for Action: You love solving problems in real-time, iterating fast, and jumping into IC-level work when necessary</li>
<li>Business/Tech Translator: You serve as a trusted bridge between engineering and the business, balancing the needs of scale, speed, and strategic bets</li>
<li>Startup Mindset: Thrives in chaotic environments, doesn’t wait for a process to be handed down - builds it if needed</li>
</ul>
 
Ideal Signals
<ul>
<li>History of leading engineering at startups where you helped scale from ~10 to 30+ engineers</li>
<li>Comfortable interviewing, hiring, and managing ICs and leads</li>
<li>Exposure to ML/AI systems, especially in data-heavy environments</li>
<li>Fluent in open-source tooling and cloud infrastructure (AWS/GCP)</li>
<li>Experience working with or around GPU-accelerated environments (a bonus)</li>
</ul>
 
Why This Role
This role sits at the sweet spot of early-stage opportunity and real momentum. You’re not joining to “see if it’ll work” - you’re joining to build it as it takes off. There’s capital, traction, customers, and real runway. But the technical and organizational challenges remain wide open and that’s where you come in.
 
If you’re driven by impact, autonomy, and solving hard technical problems with sharp people - this is your moment.

Senior Vice President of Engineering

<h3>Job Description</h3>
Immediate need for a talented Field Support Technician. This is a 12 Months Contract opportunity with long-term potential and is located in Norfolk, NE (Onsite). Please review the job description below and contact me ASAP if you are interested.
 
Job ID:25-94364
 
Pay Range: $21 - $23/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:
 
<ul>
<li>Project focus on upgrading advanced commercial printers at retail locations</li>
<li>Duties may include replacing printer parts, paper feed, power supply, changing the print head, changing toner drum, transfer belt, image unit</li>
<li>Perform complex upgrades and troubleshooting of printers, servers, hard drives, and monitor systems</li>
<li>Provide on-site technical support to internal or external customers in resolving complex or escalated technology issues on operational or maintenance aspects of system equipment</li>
<li>Install and remove equipment and systems as required</li>
<li>Responsible for day-to-day operation of applications and equipment and serve as a customer contact on technical and service-related problems</li>
<li>Ensure that all schedules, transmission, on-line systems, and problems are resolved in an accurate and timely manner</li>
<li>Serve as a liaison between customers, departments, and within the organization to lead problem resolution and change management processes</li>
<li>Determine the most cost-effective repair / resolution to minimize customer downtime.</li>
</ul>
 
Key Requirements and Technology Experience:
 
<ul>
<li>Key skills; Printers, commercial/large printer experience</li>
<li>Minimum 2 to 3 years of field service experience, specifically in commercial printers required</li>
<li>Must be able to do extensive traveling via plane and / or car</li>
<li>Must have commercial / large printer experience; Lexmark printer certification nice to have</li>
<li>Experience working on commercial printers and have an electronics / mechanical aptitude</li>
<li>Working knowledge of Windows operating systems, networks, databases and network security concepts and tools is required</li>
<li>Working knowledge of the Microsoft Office application suite including MS Outlook</li>
<li>Experience with multi-platform Windows O/S required</li>
<li>Working knowledge of Rufus, Windows Server imaging, photo printing experience, ability to troubleshoot system connectivity, Windows configuration</li>
<li>Ability to work independently in a retail environment</li>
<li>Ability to lift up to 50lbs.</li>
<li>Excellent customer service skills and professionalism</li>
<li>Able to communicate effectively both written and verbally, with key stakeholders, leadership, partners, team members, other organizations, and customers</li>
<li>Ability to coordinate and prioritize multiple tasks simultaneously while maintaining attention to detail and quality</li>
<li>Demonstrated capability to achieve results in a fast-paced, client-driven environment</li>
</ul>
 
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Field Support Technician

<h3>Job Description</h3>
Job Description: Lighting Control Field Technician
About the Role
The Lighting Control Field Technician is responsible for installing, maintaining, and troubleshooting advanced lighting control systems across a variety of client environments. This role requires strong knowledge of electrical systems, low-voltage technologies, and modern networking to ensure seamless system performance. Technicians will work with both hardware and software components and collaborate closely with project managers and clients to deliver customized lighting solutions that improve ambiance, functionality, and efficiency.
The role also involves conducting on-site training to help clients confidently operate their lighting control systems.
 
Minimum Qualifications
<ul>
<li>High school diploma or equivalent</li>
<li>Proven experience installing and maintaining lighting control systems</li>
<li>Strong understanding of electrical systems and wiring</li>
<li>Strong understanding of networking, low-voltage systems, and home automation technologies</li>
</ul>
 
Preferred Qualifications
<ul>
<li>Associate’s degree in electrical engineering, electronics technology, or a related field</li>
<li>Certification in lighting control systems or related technologies</li>
<li>Experience programming lighting control software</li>
<li>Lutron certification(s) (e.g., HomeWorks QS, RA2, RA3) preferred</li>
<li>Familiarity with integrating Lutron systems into third-party home automation platforms (e.g., Crestron, Control4, Savant)</li>
</ul>
 
 
Responsibilities
<ul>
<li>Install and configure lighting control systems based on project specifications and client needs</li>
<li>Perform routine maintenance, diagnostics, and troubleshooting to ensure optimal system performance</li>
<li>Collaborate with project managers and clients to assess requirements and deliver tailored solutions</li>
<li>Conduct on-site training to ensure clients are comfortable operating their lighting systems</li>
<li>Document installation processes, maintenance work, and client interactions for quality assurance and reference</li>
</ul>
 
Skills
<ul>
<li>Strong understanding of electrical systems and safe wiring practices</li>
<li>Technical proficiency with lighting control hardware and software</li>
<li>Knowledge of networking, low-voltage systems, and home automation technologies</li>
<li>Ability to integrate lighting systems with broader automation platforms</li>
<li>Strong communication skills for client collaboration and training</li>
<li>Effective problem-solving skills for diagnosing and resolving technical issues</li>
<li>(Preferred) Programming knowledge for advanced system customization</li>
</ul>

Lighting Control Field Technician

<h3>Job Description</h3>
Key Responsibilities
Ontology &amp; Knowledge Graph Engineering
<ul>
<li>Design and Modeling: Lead the design and implementation of formal ontologies and semantic models to accurately represent complex business entities and their relationships.</li>
<li>KG Implementation: Execute the build-out and continuous enrichment of the Customer Knowledge Graph, integrating data from from Different Data systems, transaction databases, marketing platforms, and other customer touchpoints.</li>
<li>Relationship Discovery: Implement algorithms and analytical processes to detect hidden relationships such as corporate family structures, shared personnel, common addresses, buying groups, and influence networks.</li>
<li>Graph Query Development: Write optimized queries against the graph database to support relationship analysis, pattern detection, and feature extraction for downstream applications.</li>
<li>Platform Operations: Monitor, maintain, and tune the performance and scalability of the graph database to ensure high availability and efficient data access.</li>
</ul>
Required Qualifications and Skills
Experience
<ul>
<li>8+ years of hands-on technical experience in Data Engineering, Software Development, or Analytics.</li>
<li>2+ years dedicated hands-on experience in Knowledge Graph development and relationship mapping, preferably with customer or client data.</li>
</ul>
Technical Skills
<ul>
<li>Knowledge Graph/Ontology: Deep practical expertise in graph data modeling, ontology development, and semantic modeling principles (RDF, RDFS, OWL, SHACL).</li>
<li>Graph Databases: Proven hands-on experience with at least one major Graph Database technology such as Neo4j, AWS Neptune, TigerGraph, or JanusGraph, and expertise in native query languages (Cypher, SPARQL, or Gremlin).</li>
<li>Graph Analytics: Strong experience with graph algorithms including community detection, centrality measures, path finding, pattern matching, and relationship scoring.</li>
<li>Programming: Strong proficiency in Python for data manipulation, graph algorithm implementation, and data transformations.</li>
<li>Data Engineering: Solid experience building scalable data pipelines using modern tools such as Apache Spark, Kafka, Airflow, or dbt.</li>
<li>Customer Data: Understanding of customer master data management, and entity resolution techniques.</li>
<li>Cloud &amp; DevOps: Experience with version control (Git) and familiarity with CI/CD processes and major cloud platforms (AWS, Azure).</li>
</ul>

AI Engineer

<h3>Job Description</h3>
We are seeking a dedicated and skilled Field Service Engineer to join our team. In this role, you will be responsible for providing on-site support and maintenance for battery energy storage systems (BESS). The ideal candidate will possess a strong background in battery system maintenance and be proficient in troubleshooting and repairing energy storage systems. Your expertise will ensure the reliability and efficiency of our operations while delivering exceptional service to our clients.
 
Duties
 
<ul>
<li>Perform routine inspections, maintenance, repairs, and replacements on battery storage units in the field.</li>
<li>Troubleshoot and diagnose issues related to low voltage communication and high voltage energy storage units using computer software, multimeters, etc.</li>
<li>Install components such as batteries, inverters, and power regulation equipment according to project specifications and safety codes.</li>
<li>Commission systems to ensure compliance with performance and safety standards.</li>
<li>Collaborate with team members to develop solutions for complex technical challenges.</li>
<li>Communicate effectively with clients to provide updates on service status and recommendations.</li>
<li>Document detailed records of system installation, operation, used parts, and maintenance activities.</li>
<li>Collaborate with project managers and engineers to complete other related tasks.</li>
</ul>
 
Qualifications
 
<ul>
<li>Bachelor’s degree with 0-5 years of experience in Electrical Engineering or a related field.</li>
<li>Strong understanding of low voltage communication systems and high voltage utility power systems.</li>
<li>Valid driver’s license.</li>
<li>Proficient in using electrical tools such as multimeters.</li>
<li>Able to lift up to 50 lbs, climb stairs and ladders, and work outdoors.</li>
<li>Responsible and willing to travel for at least 75% of work time.</li>
<li>Ability to communicate effectively in English, both verbally and in writing.</li>
</ul>
 
Nice to have but not required
 
<ul>
<li>Experience with BESS and inverters.</li>
<li>Background in commercial and industrial utility systems.</li>
<li>Able to communicate in Mandarin.</li>
</ul>
 
It's a contract role with high possibility to extend to full-time. We are happy to offer sponsorship for our full-time employee.

Field Services Engineer

<h3>Job Description</h3>
&amp;#x1F681; Robotics Engineer (Forward Deployed) | UAVs, Aerial Autonomy | Remote (US)
 
We’re working with one of the most exciting venture-backed robotics startups in the defense-tech space, building real-time autonomous systems that are deployed directly into the field and used by operators in live environments. Backed by leading defense-focused investors, this team develops mission-critical aerial autonomy software that integrates into next-generation defense platforms.
 
They are hiring a Robotics Engineer to join a small, high-impact engineering team. This role is ideal for someone who has built UAV or drone software hands-on, taken systems from early concept through prototype, and enjoys working directly with customers to shape real-world robotic systems.
 
What you’ll be working on:
<ul>
<li>Designing and developing end-to-end UAV and aerial robotics software for defense-focused use cases</li>
<li>Building and iterating on autonomous systems using C++, Python, and ROS</li>
<li>Prototyping UAV capabilities, running flight tests, gathering operator feedback, and refining rapidly</li>
<li>Integrating navigation, mapping, computer vision, and sensor systems into a unified platform</li>
<li>Working directly with operators and external stakeholders to understand system behavior in the field</li>
<li>Debugging, troubleshooting, and optimizing systems for reliability in real-world environments</li>
<li>Collaborating closely with autonomy, hardware, and product teams from lab to deployment</li>
</ul>
 
What you’ll bring:
<ul>
<li>Hands-on experience developing software for drones or UAVs</li>
<li>Strong proficiency in C++ with solid robotics software fundamentals</li>
<li>Experience working with navigation, mapping, or computer vision systems</li>
<li>Familiarity with ROS and real-time sensor data pipelines</li>
<li>Comfort operating without rigid requirements and iterating through trial and error</li>
<li>A systems-level mindset, able to connect multiple parts of the robotics stack into a working solution</li>
<li>Strong communication skills and confidence working directly with customers and operators</li>
</ul>
 
Bonus points for:
 
<ul>
<li>PX4 or Ardupilot flight controller experience</li>
<li>Startup or founding team experience with exceptional scope</li>
<li>University robotics or drone competition teams</li>
<li>SLAM, path planning, or perception integration experience</li>
<li>Hands-on hardware or prototyping exposure</li>
</ul>
 
Why this role?
<ul>
<li>Work on cutting-edge UAV autonomy with real-world deployment</li>
<li>Join a fast-moving, VC-backed startup with significant ownership and impact</li>
<li>Full benefits package including health, dental, vision, 401(k), and flexibility</li>
<li>See your software used directly by operators in critical environments</li>
</ul>
 
This role is open to US-based engineers only.
 
US Citizenship or Green Card required (ITAR compliant).
Apply now or for more information, please contact Ciara Holmes at EVONA

Robotics Engineer

<h3>Job Description</h3>
***Hybrid, 3 days onsite, 2 days remote***
***We are unable to sponsor as this is a permanent full-time role***
Responsibilities:
<ul>
<li>Partner with the Executive Director, AI Engineering to help define and execute on the company AI technical roadmap</li>
<li>Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure</li>
<li>Provide technical mentorship to junior engineers on engineering best practices and system design</li>
<li>Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards</li>
<li>Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment</li>
<li>Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment</li>
<li>Connect AI agents to organizational systems and workflows</li>
<li>Foster continuous learning culture in a rapidly evolving AI landscape</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's or Master's in Computer Science or related technical field</li>
<li>10+ years software engineering/systems architecture experience with strong technical leadership</li>
<li>5+ years as senior technical contributor on complex production systems</li>
<li>Expert in Python and proficient in SQL</li>
<li>System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs</li>
<li>Hands-on experience in data (e.g., data engineering, data pipelines, data transformation)</li>
<li>Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT)</li>
<li>Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy</li>
<li>Production experience with AI applications or LLM-powered systems</li>
<li>Experience with RAG architectures and context engineering</li>
<li>Familiarity with diverse LLM provider APIs and experience connecting agents to systems</li>
<li>Experience tinkering with frontier lab tools and products</li>
<li>Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD, Terraform</li>
</ul>

Principal Artificial Intelligence Engineer

<h3>Job Description</h3>
Job Title: Sr Wi-Fi Engineer
Location: Miramar, FL (Onsite Monday–Thursday, Remote Friday's)
Travel: Occasional travel (15–20%) to international destinations (1–2 weeks at a time), including locations such as the Bahamas, Mexico, Chile, and Greece.
Engagement Type: Long-term contract (6–12 months to start, strong potential to extend)
 
Job Summary: Our client is seeking a highly specialized Wi-Fi / Wireless Network Engineer with deep expertise in RF design, wireless testing, and site surveys. This role is focused exclusively on wireless networking and requires a true subject-matter expert capable of designing, analyzing, validating, and troubleshooting enterprise Wi-Fi environments using industry-standard RF tools. This is not a general network engineering role. The successful candidate will bring hands-on experience designing wireless networks from the RF layer up and validating performance through formal testing and surveys.
 
Key Responsibilities
<ul>
<li>Design and architect enterprise Wi-Fi networks using RF best practices, capacity planning, and performance-driven methodologies.</li>
<li>Perform predictive, passive, and active wireless site surveys using Ekahau or equivalent wireless design tools.</li>
<li>Analyze RF conditions, including signal strength, noise, interference, attenuation, and channel utilization, to optimize network performance.</li>
<li>Validate wireless designs through testing and post-deployment surveys, ensuring coverage, capacity, throughput, and roaming requirements are met.</li>
<li>Troubleshoot complex wireless performance issues related to RF behavior, interference, and environmental factors.</li>
<li>Create and maintain wireless design documentation, site survey reports, heatmaps, and technical findings.</li>
<li>Partner with infrastructure, operations, and business stakeholders to align wireless solutions with operational requirements.</li>
<li>Provide technical guidance and recommendations related to wireless architecture standards and best practices.</li>
<li>Support wireless initiatives across corporate offices and clients' private destinations.</li>
</ul>
 
Required Skills &amp; Qualifications
<ul>
<li>Strong hands-on experience as a Wireless / Wi-Fi Engineer focused on RF design and analysis</li>
<li>Proven experience using Ekahau for wireless design and site surveys OR deep experience with comparable RF tools (e.g., Hamina, AirMagnet).</li>
<li>Demonstrated ability to design enterprise wireless networks, not just deploy hardware.</li>
<li>Experience conducting wireless testing, validation, and post-deployment performance analysis.</li>
<li>Strong understanding of RF fundamentals (signal propagation, interference, attenuation, channel planning).</li>
<li>Experience working with enterprise wireless infrastructure environments.</li>
<li>Ability to clearly communicate technical findings to both technical and non-technical stakeholders.</li>
</ul>
 
Preferred Qualifications
<ul>
<li>Experience supporting large-scale or complex environments (hospitality, large campuses, venues, or outdoor deployments).</li>
<li>Background working with wireless professional services teams or manufacturers.</li>
<li>Experience supporting globally distributed or travel-based wireless projects.</li>
<li>Industry certifications related to wireless networking (CWNP, Cisco Wireless, Aruba Wireless, etc.).</li>
</ul>

Senior Wi-Fi Engineer

<h3>Job Description</h3>
Senior Machine Learning Engineer - Multimodal AI, Trust &amp; Safety
 
Location: San Francisco, CA Bay Area or NY
 
*We are unable to sponsor at this time.⏰
 
&amp;#x1F4E2;New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Opportunity to develop LLM across the organization and retrieval-augmented generation (RAG) frameworks for the greater good.
 
Summary:
<ul>
<li>You will be part of a world-class ML/AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions.</li>
<li>Develop large-scale production ML models to solve online safety problems. Trust &amp; Safety, content Intelligence, content moderation, fraud detection.</li>
<li>Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams.</li>
<li>Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification.</li>
<li>Analyze business use cases and identify areas where AI models may have predictive limitations or biases.</li>
<li>Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch.</li>
</ul>
 
Experience:
<ul>
<li>Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP.</li>
<li>Hands-on experience with generative AI models multi-modal AI</li>
<li>Expertise in applying machine learning models in a professional environment with large, complex datasets.</li>
<li>Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark.</li>
<li>Familiarity with multimodal AI models combining text, image, and video data.</li>
<li>Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research.</li>
</ul>
 
Education:
Master’s in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required)
 
Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $280,000, employee equity grant, and full employee benefits.

40,004 Engineering Jobs