Multifamily Residential Construction Electrician Apprentice Job at Seltrek Electrical (Calgary)

Multifamily residential construction electrician

Join Our Team as a Multifamily Residential Construction Electrician! At Seltrek ...

Location

Canada , Calgary

Salary:

40.00 - 42.00 CAD / Hour

Seltrek Electrical

Expiration Date

Until further notice

Requirements

Registration as an Apprentice or Journeyman in your jurisdiction
Minimum 3 months experience in wood frame residential construction (multi-family preferred)
Strong understanding of electrical systems and components
Proficiency in reading blueprints, schematics, and technical drawings
Excellent problem-solving skills and attention to detail
Ability to work independently and as part of a team
Commitment to safety and quality workmanship

Job Responsibility

Perform installation, maintenance, and repair of electrical systems and components within residential properties
Interpret blueprints, wiring diagrams, and technical drawings to plan system layouts accurately
Handle the installation, replacement, and repair of wiring, switches, outlets, and lighting fixtures
Conduct tests on electrical systems and parts to verify performance and safety standards
Diagnose and resolve electrical malfunctions, making necessary repairs or component replacements
Work alongside construction teams to ensure electrical installations meet code requirements and project specifications
Maintain strict adherence to safety procedures, electrical codes, and industry regulations

What we offer

Dental Insurance
Health Insurance
Life Insurance
Competitive salary $40-42 per/hr
Comprehensive benefits package, including health and life insurance
Opportunities for career growth and advancement
Positive and supportive work environment

Fulltime

New

Team member

You’ll be the heartbeat of the restaurant – serving up great food, good vibes, a...

Location

United Kingdom , Cobham

Salary:

12.21 GBP / Hour

KFC Dublin - Jervis Centre

Expiration Date

February 14, 2026

Requirements

Keep calm and crack on – pressure’s part of the game
Care about quality – of the food, the service, and the team
Spread good vibes – your attitude makes the shift

Job Responsibility

Serve up good vibes – greet every guest like they’re family
Own the front – take orders, handle the tills, and keep things clean and slick
Stay cool under pressure – rush hour? No problem
Prep like a pro – slice, dice, and get the goods ready fast
Keep it spotless – hygiene’s not optional, it’s the standard

What we offer

Onsi app and benefits
Pension scheme
25% KFC discount
Discounted gym membership
Full employee assistance programme
Free mortgage advice

Fulltime

New

Personal Banker

Wells Fargo is seeking an Associate Personal Banker (SAFE) for our National Bran...

Location

United States , Reno

Salary:

21.00 - 28.00 USD / Hour

Wells Fargo

Expiration Date

February 07, 2026

Requirements

6+ months of interacting with customers experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
This position requires SAFE registration at the time of employment
Ability to work a schedule that may include most Saturdays
Maintains cash drawer, cash handling and balancing and spends time completing service-related tasks as needed
This position is not eligible for Visa sponsorship

Job Responsibility

Participate in delivery of exceptional customer experience by building relationships through proactive outreach as well as proposing appropriate products, services, and digital solutions to help customers succeed financially
Assist customers with basic requests related to opening new accounts, completing service requests, and submitting credit applications
Receive direction from managers and exercise judgement within defined policies and procedures
Develop understanding of bank products and services to connect to customers' needs
Interact with customers to demonstrate care and build relationships
Provide appropriate options for bank products and services to customer
Refer customers' financial needs to other bankers and partners as needed

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

New

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

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

Fulltime

New

Senior Machine Learning Engineer - Marketplace Pricing

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pri...

Location

United States , Sunnyvale; San Francisco; Seattle; New York

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
Proficiency in programming languages such as Python, Scala, Java, or Go
Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

Job Responsibility

Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

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

Fulltime

New

Staff Machine Learning Engineer

Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one o...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline
Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems
Excellent problem-solving and analytical abilities
Proven ability to collaborate effectively as a team player
8+ years of industry experience in ML/AI
A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research
Proven track record of training large models on distributed infrastructure
Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach
Experience collaborating effectively across an organization, not limited to just within teams

Job Responsibility

Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research
Identify and choose the right problems that will benefit from ML expertise
Design and develop a suite of ML models that will help solve the above problems
Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms
Explore novel ideas and innovative solutions that can lead to a step change in our products
Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly
Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar

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

Fulltime

New

Staff Machine Learning Engineer - Marketplace Pricing

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pri...

Location

United States , Sunnyvale; San Francisco; Seattle; New York

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users)
Track record of delivering outstanding business impact over multiple quarters
Proficiency in programming languages such as Python, Scala, Java, or Go
Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)

Job Responsibility

Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

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

Fulltime

New

Senior Machine Learning Engineer

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...

Location

United States , San Francisco

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Minimum 4 years of working experience in the ML/Robotics industry
Bachelor degree in computer science, computer engineering or related fields
Proficient in Python and Linux
Familiar with OpenCV, TensorFlow/PyTorch

Job Responsibility

Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
Systems architecture design, including management of upstream and downstream dependencies
Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead
Deliver datasets to accelerate ML technologies, sensor data collection, processing, labeling, indexing, etc
Participate in periodic on-call rotations and be available for critical issues
Collaborate with platform, product and security engineering teams, and enable successful use of the latest machine learning techniques

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

Fulltime

Multifamily Residential Construction Electrician Apprentice

Seltrek Electrical

Location:
Canada , Calgary

Category:
Construction

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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