AI and Automation Engineer (Early Career) Job at Ericsson (Plano)

Ai & Software Engineer Iii

The AI & Software Engineer III plays a critical role in designing, building, and...

Location

United States , Dallas, TX, Boston, MA

Salary:

Not provided

PMG

Expiration Date

Until further notice

Requirements

5+ years of experience in software or data engineering, with strong coding skills in Python or a similar language
Demonstrated experience designing, implementing, and maintaining data pipelines (ETL/ELT)
Proficiency with SQL and data modeling for analytics and warehousing
Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, or similar)
Familiarity with cloud services (AWS preferred, including S3, Lambda, ECS, EC2, etc.)
Experience with dbt or equivalent data transformation frameworks
Strong problem-solving skills, attention to detail, and ownership mindset
Experience with workflow orchestration tools such as dbt Cloud or Airflow
Experience scaling production data ingestion systems
Exposure to DevOps and CI/CD practices for data or application deployments

Job Responsibility

Design, build, and maintain scalable data ingestion systems connecting multiple internal and external data sources
Develop and manage data workflows across cloud-based platforms such as AWS S3 and Snowflake
Implement robust ELT pipelines using modern tools and frameworks (e.g. dbt, Snowflake etc)
Ensure data quality, integrity, and consistency across systems, implementing validation and monitoring mechanisms
Collaborate on infrastructure-as-code deployments and CI/CD for data systems
Contribute to the design and implementation of APIs and internal services that support PMG’s broader product ecosystem
Write clean, efficient, and testable code in modern languages (with a focus on Python)
Apply software engineering best practices — including version control, testing, observability, and deployment automation
Participate in code reviews and architectural discussions, surfacing potential risks or improvements
Integrate AI and automation techniques into engineering workflows where applicable, improving efficiency and insight generation

What we offer

Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support
Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones
Parental Leave: We provide paid parental leave to support your family during important life events
Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching
Fertility and Family Support: Access fertility benefits for all team members and their spouses
Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography
Pet Insurance: Protect your pet's health and your finances
Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being
Commuter Benefits: Access support for travel and commuting needs, where available
Annual Bonus: All employees are eligible for an annual bonus

Early Career AI/ML Engineer

As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying sta...

Location

United States , San Francisco Bay Area

Salary:

Not provided

Brain Co.

Expiration Date

Until further notice

Requirements

0-2 years of industry experience in applied machine learning or related AI work
BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field
hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG)
solid understanding of how large language models are architected and operated
personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow
strong foundation in data structures, algorithms, and software engineering principles
excellent problem-solving and analytical skills, with a proactive approach to challenges
can work collaboratively with cross-functional teams
thrive in fast-paced environments where priorities or deadlines may compete
eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done

Job Responsibility

Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals
Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production
Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide
Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems
Interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions
Keep abreast of the latest developments in machine learning and AI
Participate in code reviews, share knowledge, and set an example with high-quality engineering practices

What we offer

Competitive salary
Medical, Dental, and Vision (100% Coverage)
Paid Maternity and Paternity Leave
401(k)
Daily Lunches
Commuter Benefits
Unlimited PTO

Fulltime

Senior Software Engineer

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

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures, micro-services and DevOps model
4+ years of experience coding in C#, and .Net
4+ years of experience in Database development in Azure SQL, Cosmos DB, or Azure Data Factory (ADF)
4+ years of experience in one of the modern front-end frameworks such as React, Type Script, and Experience with Python, AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes
Experience in developing applications using RESTful APIs, microservices architecture, ASP.NET, Web API, and Azure AI Foundry, with a focus on scalable and intelligent enterprise solutions
Knowledge of data structures, algorithms, and software design principles
Effective communication and a track record of sharing knowledge with others through training and knowledge sharing sessions
Experience optimizing cloud infrastructure for cost savings and operational efficiency

Job Responsibility

Develop software features for Skilling platforms, including requirement gathering, architecture, application and database design, development, testing, and deployment, while enforcing engineering proficient practices to ensure high-quality, scalable, and secure solutions
Leverage AI and develop Copilot features within the application to enhance user experience and productivity
Establish and enforce proficient practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability
Support and maintain existing services & integrations with Line of Business (LOB) applications across the enterprise
Design, develop and maintain engineering infrastructure, tools, and services that power the Continuous Integration and Continuous Delivery/Deployment (CI/CD) for Microsoft Learning (Skilling) platform and services
Improve the reliability and debuggability of test frameworks by integrating automation and gates
Develop and utilize AI/LLM models to analyze test failures, identifying root causes such as test flakiness or infrastructure issues
Transition manual testing efforts currently handled by vendor Directly Responsible Individuals (DRIs) into automated processes
Lead early in career Software Engineers, and collaborates with Product Managers, Designers and cross-functional teams to deliver high quality security solutions across platforms that ship to hundreds of millions of learners around the world
Leads by example within the team by producing extensible and maintainable

Fulltime

Ml validation engineer - early career

The ML Validation Research Engineer - Early Career will contribute to applied ma...

Location

United States , Sunnyvale

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

B.Sc or MS in ML, Robotics, Computer Science, or work related experience
Strong proficiency in Python, PyTorch/JAX/TensorFlow
Demonstrated ability to translate complex ML research ideas into functional prototypes
Experience integrating ML evaluation into CI/CD pipelines
Proven research impact through published work, internal tools, or patents
Strong communication skills and ability to collaborate cross-functionally

Job Responsibility

Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines
Develop AI-tools to improve performance monitoring and observability for autonomous vehicle stack
Advance ML research for open and and closed loop simulation validation
Develop AI-centric automations to make issue triage and root cause analysis more scalable
Develop scenario generation, coverage-guided testing, and rare-event discovery tooling
Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems
Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation
Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making
Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners
Author technical documentation, white papers, and contribute to validation methodology standards

Fulltime

Technical Support Lead

We're seeking a Technical Support Lead to own how we support customers post-acti...

Location

United States , New York City; San Francisco

Salary:

Not provided

AirOps

Expiration Date

Until further notice

Requirements

4-6+ years in technical support, solutions engineering, technical account management, or customer success roles at high-growth B2B SaaS companies
2+ years of people management experience building and leading technical teams, with proven ability to recruit, develop, and retain talent
Hands-on technical expertise with LLMs, AI techniques, prompt engineering, and API integrations
Experience with workflow automation tools (Zapier, Make, n8n) and troubleshooting complex multi-system integrations
Player-coach mentality equally comfortable resolving a complex technical escalation at 6pm and strategizing about team structure the next morning
Track record of building or transforming support organizations, implementing new tools/processes, and driving measurable improvements in customer satisfaction
Strong analytical skills with experience using data to identify trends, measure performance, and drive decision-making
Excellent written and verbal communication skills – ability to explain complex technical concepts to diverse audiences and document solutions clearly
Comfortable in fast-paced startup environments where you'll define processes and wear multiple hats

Job Responsibility

Recruit, hire, onboard, and coach a high-performing technical support team, establishing scalable processes and best practices
Develop a player-coach model where you're both in the trenches solving complex customer issues and building the systems that enable your team to excel
Create career development pathways and mentorship programs that attract and retain top technical support talent
Design and implement an AI-first support strategy that leverages automation, self-service, and intelligent routing to deliver exceptional support experiences at scale
Build comprehensive self-serve support infrastructure including documentation, knowledge bases, video tutorials, and community resources
Establish SLAs, response time targets, and quality metrics that balance speed with technical depth across enterprise and mid-market segments
Serve as the ultimate escalation point for complex technical issues, working hands-on to debug workflows, troubleshoot integrations, and resolve platform issues
Develop deep expertise in the AirOps platform, LLMs, prompt engineering, retrieval systems, and workflow automation
Create and maintain technical runbooks, troubleshooting guides, and internal documentation that enable rapid issue resolution
Partner closely with Solutions Architects to ensure smooth customer handoffs and knowledge transfer post-activation

What we offer

Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!

Fulltime

Sr. Infrastructure Engineer - Distributed Hosting

Owens Corning’s Global Information Services (GIS) provides a technology platform...

Location

United States , Toledo; Tampa

Salary:

Not provided

Owens Corning

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
10+ years of experience in hosting architecture, with a focus on enterprise-scale environments
Proven track record of providing technical consultation and collaboration
Understanding of Windows Server platforms, enterprise OS platforms, VMware vSphere/ESXi, and enterprise compute and storage systems
Familiarity with engineering and deploying backup technologies along with implementing robust disaster recovery (DR) and business continuity (BC) processes and procedures
Experience with infrastructure monitoring, capacity planning, and performance tuning
Knowledge of datacenter environment solutions required for the design, deployment, health and support of the infrastructure and application ecosystem (power, cooling, fire, connectivity, security, etc.)
Familiarity with automation tools and scripting for infrastructure management (e.g., PowerShell, Ansible)
Understanding of Artificial Intelligence and its efficient usage in infrastructure environments
Strong analytical and problem-solving skills with a proactive mindset

Job Responsibility

Develop and maintain a strong understanding of Owens Corning specific business processes and operations locally and globally
Build relationships within the organization, cross-functionally, and with key business stakeholders
Understand how IT infrastructure and services are directly aligned with the company's strategic objectives
Monitor and assess the health, capacity, and performance of hosting platforms
Provide advanced technical expertise throughout the lifecycle of Wintel servers, enterprise OS servers (e.g. Linux), VMware environments, and storage infrastructure
Collaborate with architecture and operations teams to design and implement enhancements
Provide technical experience and perspective to the lifecycle management of hosting environments
Help build and communicate advanced platform standards
Participate in the design and implementation of backup solutions along with disaster recovery and business continuity strategies
Establish and maintain engineering standards, templates, and automation for consistent platform deployment and configuration

Vision Sales Engineer

About Overview.ai Overview.ai is bringing the cutting edge of AI computer vision...

Location

United States , San Francisco

Salary:

75000.00 - 120000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

Path A: The technically sharp recent graduate - You just finished — or recently graduated from — a rigorous engineering or CS program and you're hungry to do something that matters in the real world, not just push pixels on a dashboard. You studied mechatronics, computer science, electrical engineering, robotics, or something similarly technical and you genuinely love how things are built. You're comfortable in a factory as much as in a conference room. You've done internships, research projects, or coursework that put you close to real hardware, real systems, or real AI — and you have something to show for it. You don't need a quota history. What you need is: intellectual horsepower, the confidence to hold a room with engineers and plant managers, and the drive to own outcomes rather than wait to be told what to do. If you've always been the person in the group who figures it out — this is your role
Path B: The early-career technical professional ready to go customer-facing - You have one to three years in a technical role — controls, automation, robotics, computer vision, or manufacturing engineering — and you've realized you're at your best when you're in front of people, solving problems live, not sitting behind a desk writing specs. You're social, likeable, and energized by the challenge of translating complex technical concepts into clear business outcomes. You want more ownership, more upside, and a faster trajectory than a traditional engineering career path offers. This product sells itself when the evaluation is run correctly. Your technical credibility is your unfair advantage on the factory floor — pair that with sharp communication and real drive, and you'll thrive here

Job Responsibility

Territory revenue ownership (California) - Own pipeline, forecasting, and revenue outcomes for California. Start with hunting - win new inspection points and new lines - then build into expansion as your accounts grow. Turn customer success into aggressive expansion across factories, lines, and inspection points. You'll be dropped into meaningful accounts early so you can hit the ground running - top logos, real budgets, real urgency
Technical, consultative selling (vision + automation) - Run high-signal discovery with Quality, Process, Automation, and Ops. Understand how customers currently solve inspection, where incumbents fail, and how to win. Position Overview clearly vs incumbents using real deltas: accuracy, deployability, operator usability, and platform capabilities. Partner with applications + engineering to propose practical deployment plans that win
Create urgency and remove friction - Drive timelines: next steps, milestones, line access, data collection, acceptance criteria, decision makers. Identify blockers early (process readiness, resourcing, line access, mechanical stability, integration constraints) and push them to resolution. Own executive updates and communication cadence to keep deals moving
Operate like a closer - Build relationships that hold: plant champions → regional leaders → global decision makers. Negotiate and close with speed and precision. Be relentless about follow-up and execution—no "maybe next quarter" drift. If you own a major account, you get credit and commission for all sites in your territory—regardless of how much help we bring in

What we offer

Uncapped commission with meaningful upside tied to expansion and rollout success
Generous equity in a hyper-growth startup
Medical insurance
Relocation support (if needed)
Company trips to industry events and gatherings + access to our San Francisco office
Field-first role with remote flexibility when not onsite

Fulltime

Engineering Manager

We are looking for an experienced Engineering Manager to lead three SCRUM teams ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

Proven experience managing multiple engineering teams simultaneously, navigating cross-team dependencies and balancing competing priorities
8+ years of professional software development experience with a strong Java background
Advanced English proficiency (daily meetings, stakeholder calls, and written communication)
At least 6 months of hands-on experience with AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) or direct experience managing teams that actively use them
Hands-on experience with at least one major cloud platform (AWS or Azure)
EU-timezone availability
Track record of delivering software in Agile/SCRUM environments with distributed, international teams
Solid understanding of the Java/Spring ecosystem, relational databases, and modern front-end frameworks (React)
Experience managing QA functions, including test automation strategy and quality metrics
Experience with capacity planning and delivery forecasting

Job Responsibility

Lead three SCRUM teams end-to-end: sprint planning, backlog refinement, retrospectives, and delivery commitments
Own delivery outcomes and make sure teams consistently hit sprint goals and roadmap milestones
Manage ~15-20 engineers across three teams: tech leads, senior full-stack developers, and QA automation engineers
Run regular 1:1s, performance reviews, and career development conversations
Remove blockers, manage cross-team dependencies, and escalate risks early
Work with product management to align engineering capacity with business priorities
Maintain engineering standards: code reviews, CI/CD discipline, test coverage, and release quality
Expand the use of AI coding agents across all three teams, track adoption and productivity metrics, and report results to leadership
Coordinate cross-team technical initiatives such as platform upgrades, migrations, and tech-debt reduction
Own hiring for your teams: define staffing needs, run interviews, and onboard new members

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Fulltime

Select Country

AI and Automation Engineer (Early Career)

Job Description

Job Responsibility

Requirements

Nice to have

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