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

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

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

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

Technical Program Manager, Voice

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've ...

Location

United States , Santa Monica

Salary:

165000.00 - 180000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

5+ years of technical program management, engineering management, or equivalent experience delivering complex software or ML‑driven products
Demonstrated experience leading cross‑functional programs that span multiple engineering disciplines (e.g., backend services, ML, data, or platform teams)
Strong familiarity with at least one of: machine learning, speech/ASR, NLU/NLP, or large‑scale data/experimentation. You do not need to be an ML engineer, but you must be comfortable engaging deeply with technical details
Proven track record of driving programs from inception to launch, including requirements definition, roadmap planning, risk management, and post‑launch iteration
Excellent communication and stakeholder management skills
able to drive clarity and decisions among senior leaders and distributed teams
Hands‑on experience with modern program management and collaboration tooling, including the use of GenAI
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Job Responsibility

Lead end‑to‑end planning and execution of major Roku Voice programs (e.g., new voice capabilities, regional expansions, infrastructure upgrades), from concept through launch and post‑launch iteration
Own program structure: requirements, milestones, dependencies, risk management, communication plans, and status reporting across engineering, analytics, QA, and partner teams
Drive alignment on priorities and scope across teams
ensure that upstream and downstream dependencies are understood and managed
Coordinate with external voice technology partners and internal platform teams, ensuring integration plans, SLAs, and release timelines are well defined and met
Track progress of builds, engineering changes, and issue closures with urgency and attention to detail
Establish and continuously improve program management processes and tooling for the Voice org
Communicate clearly and crisply at all levels of the organization, from engineers to VP+ stakeholders, including regular status, risks, and trade‑offs
Anticipate and surface risks early
drive mitigation plans and make data‑informed recommendations on resourcing, sequencing, and scope

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Mental health and financial wellness support
Commuter benefits
Retirement options (401(k))

Fulltime

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

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

New

Pharmacy Technician

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

Location

United States , Manchester

Salary:

16.50 - 25.00 USD / Hour

CVS Health

Expiration Date

August 01, 2026

Requirements

Must be at least 16 years of age
Licensure requirements vary by state
Attention and Focus: The ability to concentrate on a task over a period of time without being distracted
Customer Service Orientation: Actively look for ways to help people, and do so in a friendly manner
Notice and understand customers' reactions, and respond appropriately
Communication Skills: Use and understand verbal and written communication to interact with customers and colleagues
Actively listening by giving full attention to what others are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times
Mathematical Reasoning: The ability to use math to solve a problem, such as calculating day's supply of a prescription
Problem Resolution: Is able to judge when something is wrong or is likely to go wrong
recognizing there is a problem

Job Responsibility

Manage all assigned pharmacy workstations and tasks to support the team's ability to promptly, safely and accurately fill patient prescriptions all while providing caring service that exceeds customer expectations

What we offer

dental
vision
wellness resources
employee discounts
access to certain voluntary benefits
and other programs

Parttime

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Senior ASRS Structural Engineer

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