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

New

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

New

Payroll Clerk

We are looking for a detail-oriented Payroll Clerk to join our team in Plano, Te...

Location

United States , Plano

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong attention to detail and ability to perform accurate numerical calculations
Excellent communication skills, both written and verbal
Proficiency in Microsoft Office Suite and payroll software
Knowledge of payroll regulations, tax laws, and wage calculation methods
Ability to prioritize multiple tasks and manage time effectively
Experience handling confidential information with discretion
High school diploma required
associate’s degree in Accounting, Finance, or a related field preferred
0–2 years of experience in payroll, accounting, or a similar field

Job Responsibility

Calculate employee wages, bonuses, commissions, and other compensation based on hours worked and salary structure
Process payroll taxes, deductions, and garnishments in compliance with legal and company policies
Maintain and update payroll records to ensure accuracy and completeness
Assist in preparing payroll reports and performing reconciliation tasks
Respond to employee questions and concerns regarding payroll issues in a timely manner
Collaborate with HR and Finance teams to ensure payroll processes meet internal and regulatory standards
Support audits by providing necessary documentation and ensuring adherence to internal controls
Monitor payroll systems for accuracy and address discrepancies as needed

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

New

Cyclist Delivery Rider

Want to get paid to exercise? Love cycling and being outdoors? Join our delivery...

Location

United Kingdom , Loughborough

Salary:

7.55 - 12.21 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Your own bicycle
Availability for evenings and weekends (required)
A positive, can-do attitude and great customer service skills
Good local area knowledge

Job Responsibility

Represent Domino’s with a smile and deliver excellent customer service
Deliver products promptly and safely, following all safety procedures
Handle payments correctly and securely
Support your store team during quieter delivery periods

What we offer

Flexible working hours to suit your lifestyle
Staff discount on all your favourite pizzas
Pension scheme
You keep all your tips!
Excellent training and career progression
Bike box attachment for deliveries

New

Applied Scientist

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics
2+ years experience with strong proficiency in Python, machine learning frameworks, and experience developing and deploying generative AI or machine learning models into production
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Serve as a domain expert in machine learning, statistics, and experiment design
Collaborating with stakeholders to gather and understand user requirements and expectations
Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions
Build and manage large-scale AI experiments and models
Drive experimentation through A/B testing and offline validation to evaluate model performance
Collaborate across disciplines and geographies with product teams and integrate AI across product
Stay up to date with the research literature and product advances in AI for software engineering

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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