Senior ASRS Structural Engineer Job at Apex Structural Engineering (St. Louis)

Senior ASRS Structural Engineer

At Apex Structural Engineering, we pride ourselves on fostering a collaborative ...

Location

United States , Brentwood

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

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
Steel structure design, light gauge steel design, steel connection design, miscellaneous steel design, 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
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
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

New

Healthcare Assistant & Lead Healthcare Assistant

Are you passionate about supporting older people and making a meaningful differe...

Location

Ireland , Cork

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience in elderly care is desirable but not essential (training may be provided)
QQI Level 5 in Healthcare Support or equivalent is an advantage
A caring, patient and respectful approach to supporting older people
Ability to work flexible shifts including days, nights, and weekends
Strong commitment to resident safety, dignity and wellbeing
Applicants must have legal entitlement to work in Ireland

Job Responsibility

Deliver person-centred care to residents with dignity and respect
Support residents with activities of daily living where required
Encourage independence and social engagement
Maintain a clean, safe and comfortable living environment
Build positive relationships with residents, families, and colleagues
Follow all health, safety and safeguarding procedures
Assist with compliance processes, inspections, and quality standards
Lead Healthcare Assistants will also assist in guiding care teams, supporting best practice, and helping maintain high standards of care delivery

What we offer

Flexible working hours to support work–life balance
Local employment opportunities within the Douglas, Cork area
Competitive rates of pay in line with experience and role
Supportive team environment with ongoing training and development
Employee wellbeing initiatives
Uniform provided
Free on-site parking
Meals provided while on duty

New

Bakery Team Member

Join us to "Change Hospitality For Good". Here at the Cornish Bakery, we want to...

Location

United Kingdom , Falmouth

Salary:

8.05 - 12.80 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Eligible to live and work in the UK

Job Responsibility

Make the World’s Best Coffee
Deliver Outstanding Customer Service
Prepare Award Winning Food
Maintain High standards within the Bakery
Be part of a Team who strive to Aim Higher at all times

What we offer

50% discount on food and drink
Pasty Perks – bespoke reward system offering discounts and savings on favourite brands
Financial well-being benefit through Stream – save directly from wages into a high interest savings account or access wages before pay-day
Employer funded health and wellbeing services with access to a 24/7 GP line, Employee Assistance Program and discounted gym memberships
Paid birthday day off
Member of the shareholder fund (service dependent)
Team social events with in-bakery incentives
Up to 28 days of holiday (including bank holidays), pro rata if necessary

New

Housekeeping Assistant

In Glasgow's prestigious West End, Kelvinside Manor provides luxurious accommoda...

Location

United Kingdom , Glasgow

Salary:

12.27 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience from a housekeeping or domestic cleaning role
Basic understanding of infection control, COSHH, and compliance standards
Ability to follow instructions and cleaning schedules
Ability to report issues
Ability to work well with others in a professional and courteous manner
Pride in your work, attention to detail, time management, and respectful communication
Ability to work well as part of a team or on your own
Demonstrating a kind and caring nature to all within the care home
Satisfactory references
Disclosure Scotland Scheme Membership (PVG)

Job Responsibility

Maintaining the highest levels of cleanliness in public areas and bedrooms within the home
Responsible for the wash, dry, iron and put away of laundry
Ensuring that our residents' care home facilities, public areas and rooms are maintained to the highest cleaning standards
Replenish and maintain supplies in both resident rooms and common areas
Communicate effectively with residents and colleagues to address needs and concerns

What we offer

Competitive benefits
Overtime rates
Flexible working hours considered

Parttime

Senior ASRS Structural Engineer

Apex Structural Engineering

Location:
United States , St. Louis

Category:
Construction

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior ASRS Structural Engineer

Senior ASRS Structural Engineer

Sr. Staff Engineer (Conversational/Voice AI)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Healthcare Assistant & Lead Healthcare Assistant

Bakery Team Member

Housekeeping Assistant

Senior ASRS Structural Engineer

Apex Structural Engineering

Location:United States , St. Louis

Category:Construction

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 06, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior ASRS Structural Engineer

Senior ASRS Structural Engineer

Sr. Staff Engineer (Conversational/Voice AI)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Healthcare Assistant & Lead Healthcare Assistant

Bakery Team Member

Housekeeping Assistant

Location:
United States , St. Louis

Category:
Construction

Contract Type:
Not provided

Job Posted:
December 06, 2025