Engineering Structures Jobs in Dallas Tx Remote

Job Title: Network Operations Manager - NMS

Job Type: Full time - Permanent

Location: Richardson, TX – Onsite

Job Summary

• Lead the implementation and evolution of the client’s proprietary managed service systems that use network intelligence to maintain, optimize, and enhance customer networks.
• This technical leadership role balances hands-on implementation with team coordination, process improvement, and product development to enable scalable and efficient operations.
• Implement and support the network management systems that power the client’s managed services, including Ciena Navigator, Nokia WS-NOC, and NFM-P, along with related proprietary software platforms.
• Deliver proactive lifecycle management through Managed Software Services (MSS), including remote upgrades, security patching, and platform maintenance across customer optical NMS environments.
• Collaborate closely with the client’s software development and network engineering teams to identify and implement capabilities that leverage network intelligence data to proactively detect, communicate, and automatically resolve issues—transforming raw telemetry into actionable insights that prevent customer-impacting events network

ROLES & RESPONSIBILITIES

Network Intelligence and Service Delivery Optimization

• Collaborate with software development and network engineering teams to identify and implement features that transform network telemetry into proactive issue detection, communication, and automated resolution
• Drive automation and tooling improvements to increase efficiency and reduce manual effort
• Expand the internal knowledge base to accelerate implementation and troubleshooting
• Develop reporting on service delivery metrics, upgrade pipelines, and resource utilization

Service Delivery & Technical Leadership

• Lead delivery of Managed Software Services (MSS) – NMS upgrades, security patches, and maintenance – through direct execution or team delegation
• Provide technical escalation and approve upgrade strategies, rollback procedures, and risk mitigation plans
• Coordinate with customers' engineering and PM teams to manage scope changes, resolve delivery issues, and maintain high satisfaction
• Stay current on vendor software releases, security vulnerabilities, and industry best practices
• Manage vendor relationships for support, licensing, and technical escalations

Business & Operational Management

• Serve as primary point of contact for MSS and support quarterly business reviews
• Support sales and account management to refine and close new MSS opportunities
• Track operational budgets and drive profitability for MSS engagements
• Define and track KPIs: upgrade success rate, on-time delivery, customer satisfaction, and team utilization

Team Development & Culture

• Lead and mentor high-performing team with clear roles, responsibilities, and career progression
• Conduct performance reviews and provide coaching on technical capabilities and customer service excellence
• Foster a culture of proactive service delivery, continuous improvement, and technical innovation

QUALIFICATIONS

Required Experience

• 5+ years of experience in network operations, managed services, or telecom service delivery with strong technical foundation in enterprise IT infrastructure

1. Linux/Windows environments, database management, virtualization platforms

1. Lifecycle management: system updates, security patches, and firmware upgrades
2. Administering storage arrays and ensuring RAID/disk redundancy is in place
3. Managing software license files tied to NMS platforms
4. Maintaining replication and backup jobs

• 2+ years in leadership roles managing technical, service delivery teams
• Working knowledge of optical networking technologies (DWDM, OTN) in relation to Network Management Systems (Ciena Navigator/MCP, Nokia WaveSuite, or similar platforms)
• Proven track record delivering Managed Services with SLA commitments and customer satisfaction goals
• Experience with remote service delivery models, maintenance window planning, and change management
• Familiarity with ITIL service management framework and best practices
• Vendor management and escalation experience with telecom equipment manufacturers and software providers

Preferred Qualifications

• ITIL Foundation, PMP, or relevant vendor and technical certifications (Ciena, Nokia, VMware, Hyper-V)
• Experience in both service provider and enterprise networking environments
• Knowledge of network automation using Python, Ansible, or similar tools
• Experience with agile project delivery methodologies
• Leadership & Soft Skills
• Strong written and verbal communication skills
• Proven ability to develop and mentor technical talent
• Strong problem-solving skills and ability to make sound decisions under pressure
• Experience working with remote team members and customers
• Ability to balance strategic planning with hands-on technical problem solving
• Customer-focused mindset with commitment to service excellence

Education

Bachelor's degree in Telecommunications, Electrical Engineering, Computer Science, or related field; or equivalent experience

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.

• 
  
• Assist with managing projects, plans, provide and gather specifications, and execute assignments in a multidisciplinary engineering Commissioning role for large facility projects.
  
• The commissioning experts adhere to a thorough quality management/QC process and procedures.
  
• Participate in daily commissioning activity meetings which services include: Equipment pre-start-up and start-up procedures; Development of standard operating procedures (SOP's) and Methods of Procedures (MOPs); Comprehensive Commissioning documentation.
  
• Prepare commissioning test procedures and reports with limited supervision as needed; Develop and maintain commissioning logs, equipment checklist, and other tools to track commissioning projects; Write comprehensive reports which include the following sections: recommendations for optimizing building operations, functional checklists, list of deficiencies, equipment operation and maintenance manuals.
  
• Review design criteria, specifications, drawings, equipment submittals, and other documentation pertinent to commissioning.
  
• Integrated system testing; Load Bank Testing; Compilation of all testing procedure results.
  
• Develop and administer functional tests for various systems, such as: electrical distribution systems, UPS, standby generators, etc.
  
• System Assembly; Commission plan preparation; Follow company QC process and procedures.
  
• Help lead and manage any external resources; Schedule and direct periodic commissioning meetings; Attend construction and coordination meetings if required for the project.
  
• Interface with clients, contractors, equipment vendors and owners' agents as needed; Execute project assignments; Interface with project contractors, vendors, and testing technicians; Interact with all facets of the company: engineering, design, etc.
  

• 
  
• 3-5 years' experience in the Engineering Field
  
• A/E experience working in complex facilities or mission critical projects a big plus
  
• Previous Data Center / Mission Critical experience is preferred
  
• Electrical equipment testing experience in a Critical Facilities / facility environment
  
• Experience with IEEE/ASHRAE procedures and protocols a plus
  
• Possess basic knowledge of systems design for various projects
  
• Experience using Microsoft Word, Excel, and Microsoft Project
  
• Excellent communication skills, both written and verbal (this role requires heavy amount of writing, documentation, and client interaction)
  
• Up to 75% travel
  
• Must be a US Citizen
  

• 
  
• Bachelor's / Associates Degree in engineering a plus or comparable experience
  

• 
  
• Occasionally move objects 10-50lbs.
  
• Frequently required to stand, walk, stoop, kneel, crouch or crawl.
  
• Occasionally required to sit and climb or balance.
  
• Specific vision abilities required for this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust and focus.
  

Benefits to Joining Our Team

CPG offers a competitive and comprehensive package that includes additional benefits beyond enhanced medical, dental, and vision coverage

• 
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

CPG is an equal opportunity employer. We will consider all employment applicants without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Learn more about CPG by checking out our website here

#LI-TG1

We are seeking a Platform Security Architect to help secure customer-facing platforms across web, mobile, and API environments within an AWS ecosystem. This role partners closely with software engineering and architecture teams to ensure secure-by-design solutions for modern cloud applications.

Key Responsibilities

• Lead security architecture reviews for web, mobile, and API-driven platforms
• Provide hands-on guidance to engineering teams on secure design patterns
• Define and implement security guardrails across AWS cloud environments
• Support secure authentication and authorization frameworks (OAuth2, OIDC, SAML)
• Ensure secure integration across microservices, APIs, and CI/CD pipelines

Required Experience

• 7+ years of IT experience with a focus on cloud or application security
• Background in software engineering, platform engineering, or cloud architecture
• Strong experience securing API-driven applications and microservices
• Hands-on AWS cloud security (IAM, encryption, networking, monitoring)
• Experience with OAuth2, OpenID Connect, SAML, or CIAM architectures

Preferred

• Experience supporting customer-facing platforms or payment environments
• Familiarity with PCI DSS and modern security frameworks
• AWS or security-related certifications

This role is ideal for a software engineer or cloud architect who transitioned into security, with experience securing modern API-based platforms in AWS.

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**

Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

• Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
• Provide production support and ensure high availability, performance, and reliability of applications
• Troubleshoot complex production issues and drive durable, long-term solutions
• Architect and implement scalable, secure, cloud-native solutions
• Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
• Partner with product managers and senior stakeholders to translate business needs into technical solutions
• Establish and enforce architecture standards, coding best practices, and documentation
• Mentor and lead distributed engineering teams to deliver high-quality software on schedule
• Facilitate cross-functional alignment across engineering, product, and business teams
• Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

• 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

• Azure
• C# / .NET
• React and Next.js
• Node.js
• SQL Server and NoSQL databases (e.g., Cosmos DB)
• Solid understanding of microservices and event-driven architectures
• Experience with containerization technologies such as Docker and Azure Service Fabric
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
• Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
• Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
• Proven experience leading and mentoring onshore/offshore teams
• Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

• Experience deploying large-scale, cloud-native applications on Azure
• Familiarity with Kubernetes or other container orchestration platforms
• Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
• Understanding of cloud infrastructure and security best practices
• Experience designing and executing technical POCs

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

Our client, a fast growing publicly traded manufacturing company is looking for a Senior Accountant to join. This role will have meaningful responsibility across financial reporting, operational accounting, and process optimization within a multi-entity, global environment.

The ideal candidate is detail-oriented, technically strong in U.S. GAAP, and comfortable operating in a matrixed organization with cross-border collaboration.

Core Responsibilities

Financial Close & Reporting

• Manage critical components of the monthly and quarterly close cycle
• Prepare journal entries, account reconciliations, and analytical reviews
• Perform detailed variance and trend analysis to support reporting accuracy
• Ensure results align with U.S. GAAP and corporate reporting policies

Compliance & Audit Coordination

• Support both internal and external audit activities
• Prepare audit documentation, schedules, and regulatory support files
• Maintain compliance with global accounting standards, including U.S. GAAP and applicable local requirements

Cross-Functional Partnership

• Partner with Operations, Engineering, Product, Tax, Legal, and other internal stakeholders to ensure proper accounting treatment of business activities
• Assist in evaluating complex transactions and operational impacts on financial reporting

Process Optimization & Controls

• Identify opportunities to enhance efficiency across end-to-end accounting workflows
• Contribute to initiatives aimed at improving internal controls and accelerating close timelines
• Collaborate with shared services teams, including offshore support functions, to refine processes and strengthen accountability

Special Projects & Systems

• Provide support for ERP enhancements, system upgrades, and finance transformation initiatives
• Assist in financial modeling, business case analysis, and other ad hoc strategic projects
• Contribute to continuous improvement efforts leveraging technology and automation tools

Qualifications & Experience

• Bachelor's degree in Accounting required; CPA or equivalent certification strongly preferred
• 4+ years of progressive accounting experience
• Background in manufacturing and/or publicly traded environments preferred
• Strong knowledge of U.S. GAAP and corporate reporting standards
• Experience supporting audits and working within structured control environments
• Familiarity with procure-to-pay processes
• Proficiency in Excel; experience with Oracle or comparable ERP systems preferred
• Experience working with shared services or offshore accounting teams preferred
• Ability to manage multiple deadlines in a dynamic, global environment
• Strong analytical mindset with attention to detail and ownership mentality
• Willingness to travel up to 10% (domestic and international)

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA