Senior ASRS Structural Engineer Job at Apex Structural Engineering (Brentwood)

Senior ASRS Structural Engineer

We are seeking a talented and motivated Senior ASRS Structural Engineer to join ...

Location

United States , St. Louis

Salary:

Not provided

Apex Structural Engineering

Expiration Date

Until further notice

Requirements

Bachelor’s degree in civil or structural engineering
PE licensure
6+ years of ASRS structural engineering experience
An advanced understanding of relevant building codes, materials, and standards
Excellent communication skills are required, both verbal and written
Project management experience/ability
Attention to detail, logical problem-solving skills, and strong organizational skills
Ability to thrive under pressure and meet deadlines
Passion for steel and concrete design and growing professional knowledge and skills in steel and concrete construction
Diploma/certificate

Job Responsibility

Lead and manage ASRS structural engineering projects from conception to completion
Structural analysis and project management for full building design and delegated steel design projects
Lead a team of structural engineers to design and prepare deliverables for full building design and delegated steel design projects
Design steel structure, light gauge steel, steel connections, miscellaneous steel, and erection engineering
Calculation development, steel shop drawing reviews, submittal preparation, RFI development and new calculation development to enhance efficiencies
Utilize analysis software programs such as Tekla Structural Designer, Excel, Idea Statica, BlueBeam, RISA Suite, Revit and Ram Connection
Review 3-D BIM models to aid in building design, connection design and shop drawing reviews
Obtain planning and building regulations approval

What we offer

Collaborative Environment
Cutting-Edge Projects
Top-Notch Amenities: fully equipped gym, a golf simulator, and a charming coffee house/café
Flexible Work Schedule
Paid Parental Leave
Tuition Assistance: $5,000 in tuition assistance annually to payoff student loans
Health and Wellness: membership to Orange Theory or access to in-house gym, and three dedicated hours each week for mental and physical health
Generous Time Off: generous vacation, sick, and personal time
Company Retreats
Relocation Assistance

Fulltime

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years building production ML/AI systems
4+ years leading complex ML initiatives end‑to‑end
Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python plus one of Go/Java/C++
hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability
Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems)
Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy)

Job Responsibility

Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations
Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries
design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded
Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms
Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact
Mentor/principal‑lead multiple pods
set technical strategy and quality bars
coach senior engineers on agentic patterns, reliability, and experiment velocity

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

Germany , Berlin

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building, evaluating, and deploying ML models in production
Strong background in speech recognition (ASR), speech processing, or closely related domains
Deep experience with model evaluation, benchmarking, and error analysis for ML systems
Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face)
Solid understanding of modern ML techniques, including transformer-based models and large-scale training
Experience building data pipelines and tooling for large-scale experimentation and quality analysis
Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements

Job Responsibility

Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems
Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration
Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements
Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation
Partner with applied research to translate experimental improvements into production-ready systems
Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals
Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale
Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United Kingdom , London

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building, evaluating, and deploying ML models in production
Strong background in speech recognition (ASR), speech processing, or closely related domains
Deep experience with model evaluation, benchmarking, and error analysis for ML systems
Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face)
Solid understanding of modern ML techniques, including transformer-based models and large-scale training
Experience building data pipelines and tooling for large-scale experimentation and quality analysis
Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements

Job Responsibility

Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems
Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration
Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements
Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation
Partner with applied research to translate experimental improvements into production-ready systems
Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals
Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale
Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

Romania

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building, evaluating, and deploying ML models in production
Strong background in speech recognition (ASR), speech processing, or closely related domains
Deep experience with model evaluation, benchmarking, and error analysis for ML systems
Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face)
Solid understanding of modern ML techniques, including transformer-based models and large-scale training
Experience building data pipelines and tooling for large-scale experimentation and quality analysis
Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements

Job Responsibility

Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems
Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration
Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements
Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation
Partner with applied research to translate experimental improvements into production-ready systems
Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals
Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale
Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production

Senior Global CAPEX Procurement Portfolio Coordinator

This role exists to Manage Global Logistic Automation Portfolio: Responsible for...

Location

Brazil , São Paulo

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Bachelor or above level
Senior experience in Procurement, Supply Management, preferably within a technical procurement position
Experience in setting up and managing complex legal contracting, project and relationship management
Strong communicator with experience in working successful in virtual team environments
Superior stakeholder management, both internal and external
Good negotiation skills for both external and internal negotiations
Ability to operate independently
Ability to operate in a large organization with complex decision structures / remote relationships
Methodical and organized
Proactive and positive team player

Job Responsibility

Manage Global Logistic Automation Portfolio: Responsible for the procurement management of global logistics warehouse R&A (Robotic and Automation) investments, including loading/ Unloading system, AGV/AMR, ASRS, automated sorting, and intelligent warehouse software projects
Lead and participate in Procurement related project meetings
Build and maintain strong relationships with Global and Regional Logistic Engineering teams
Serve as the main contact between Market Capex Procurement Managers and Global Logistic Engineering teams
Support market procurement managers in supplier escalation, expediting, and claims
Lead technology-sensitive projects and support quality, hygiene, and manufacturing excellence initiatives
Assist in developing and implementing Capex & MRO Procurement strategies in collaboration with Engineering and Market Partners
Lead procurement planning, sourcing projects, and negotiation of tenders and contracts (including e-tendering)
Ensure compliance with relevant legislation, company policies, and Schedule of Authority
Conduct data analysis to inform negotiation strategies and supplier selection

Fulltime

New

Store Associate

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Chicago

Salary:

16.60 - 23.60 USD / Hour

CVS Health

Expiration Date

June 19, 2026

Requirements

At least 16 years of age
Remaining upright on the feet, particularly for sustained periods of time
Lifting and exerting up to 35 lbs of force occasionally, up to 10 lbs of force frequently, and a negligible amount of force regularly to move objects to and from, including overhead lifting
Visual Acuity - Having close visual acuity to perform activities such as: viewing a computer terminal, reading, visual inspection involving small parts/details

Job Responsibility

Providing differentiated customer service by anticipating customer needs, demonstrating compassion and care in all interactions, and actively identifying and resolving potential service issues
Focusing on the customer by giving a warm and friendly greeting, maintaining eye contact and offering help locating additional items, when needed
Accurately perform cashier duties - handling cash, checks and credit card transactions with precision while following company policies and procedures
Maintaining the sales floor by restocking shelves, checking in vendors, updating pricing information and completing inventory management tasks as directed by store manager
Supporting opening and closing store activities, when needed
Providing customer support to all departments, including photo and beauty, ensuring departments are fully stocked and operational while remaining current with all updated services and tools
Assisting pharmacy personnel when needed, including working regular shifts in the pharmacy as part of opportunities for growth and career development
Embracing and advocating for new CVS services and loyalty programs that support our purpose of helping people on their path to better health

What we offer

Dental
Vision
Wellness resources
Employee discounts
Access to certain voluntary benefits
Other programs

Parttime

New

Front Desk Receptionist

As a Front Desk Receptionist, you will be the first and last point of contact fo...

Location

United Kingdom , London

Salary:

37800.00 GBP / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Previous Front Desk or guest facing experience in a hotel environment
Strong communication skills and confident guest interaction
Excellent attention to detail and organisational ability
Ability to multitask and remain calm under pressure
Experience using Opera PMS or similar systems is preferred
Positive attitude and genuine passion for hospitality
Flexibility to work a range of shifts including evenings, weekends, and public holidays
Right to Work in the UK

Job Responsibility

Welcome guests warmly and manage all aspects of arrival and departure
Handle check in and check out procedures accurately using Opera PMS
Respond to guest enquiries and requests promptly and professionally
Coordinate with Housekeeping, Concierge, and Food and Beverage teams to deliver a seamless guest experience
Manage billing and payments accurately and securely
Provide local knowledge and personalised recommendations
Identify opportunities to enhance the guest experience, including upselling where appropriate
Maintain high standards of presentation, professionalism, and service at all times

What we offer

£37,800 annual package inclusive of base salary and service charge
Structured 40 hour working week
Excellent training and clearly defined career development pathways
Strong internal progression opportunities across London and the global Four Seasons portfolio
Holiday entitlement increasing with service up to 33 days
Up to two paid Wellness Days per year
Company Sick Pay, increasing with service
Life insurance while on duty
Up to 20 complimentary nights at Four Seasons Hotels and Resorts worldwide, increasing with service, as well as heavily discounted rates at all properties
50% discount across UK Four Seasons food and beverage outlets from day one for up to four guests

Fulltime

Senior ASRS Structural Engineer

Apex Structural Engineering

Location:
United States , Brentwood

Category:
Construction

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

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