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

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

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

Early Career Compiler Engineer - LLVM

We are seeking a new college graduate or early career Compiler Engineer to help ...

Location

United States , Sunnyvale

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, PhD, or foreign equivalents in computer science, engineering, or related field
Strong conceptual or hands-on experience with LLVM, particularly in backend code generation
One or more years of related work experience on compilers/toolchain development or systems programming
Strong proficiency in C++, especially modern C++ practices
Understanding of computer architecture, instruction sets, and memory models
Familiarity with linkers, assemblers, and binary formats

Job Responsibility

Design and implement low-level compiler components (compiler backend, assembler, linker) targeting single cores
Automate generation of new LLVM targets using high-level architecture description
Identify and develop novel LLVM mid-end and backend passes that leverage architectural features and optimize code generation for performance, including memory usage, instruction scheduling, and register allocation
Analyze performance bottlenecks and iterate on codegen strategies for complex workloads
Work closely with hardware architects, kernel developers, and high-level language designers to ensure end-to-end performance
Participate in technical reviews, design discussions, and collaborative debugging

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

Fulltime

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

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

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

Internship - Software Developer

AAC is seeking a paid Summer Intern to support Evolve AIOps, a tool that assists...

Location

United States , Tyson

Salary:

Not provided

AAC

Expiration Date

Until further notice

Requirements

Current undergraduate or graduate student, recent graduate, or early-career candidate pursuing or holding a degree from an accredited college or university in Computer Science, Information Systems, Information Technology, Cybersecurity, Data Science, Engineering, Business Information Systems, or a related field
Strong writing and communication skills, with the ability to explain technical concepts clearly
Coursework, project experience, or hands-on experience using at least one major programming language
Interest in artificial intelligence, automation, cloud computing, cybersecurity, IT operations, or systems architecture
Basic understanding of Agile or Scrum concepts, or willingness to learn
Ability to listen to technical discussions, ask good questions, take useful notes, and turn information into organized documentation or project artifacts
Ability to work independently, communicate progress clearly, and follow through on assigned tasks

Job Responsibility

Maintain project tracking information, including tasks, action items, priorities, risks, dependencies, and status updates
Support Agile/Scrum activities such as sprint planning, standups, backlog reviews, sprint reviews, retrospectives, meeting notes, and follow-up actions
Create and update technical documentation, including system descriptions, process flows, architecture notes, user guides, implementation summaries, diagrams, and presentation materials
Assist with hands-on development using a major programming language such as Python, JavaScript, Java, C#, or similar
Support basic testing activities, including test case documentation, functional testing, defect tracking, feature validation, and documentation of test results
Research topics such as AI-enabled operations, automation, observability, cybersecurity monitoring, DevSecOps, cloud platforms, and open-source technologies
Help organize project files, notes, diagrams, documentation, and related materials into a consistent structure

Fulltime

Marketing & GTM Specialist

Entalpic is a deep tech startup accelerating materials discovery, combining mach...

Location

France , Paris

Salary:

Not provided

Breega

Expiration Date

Until further notice

Requirements

Recent graduate or early career (0–2 years) with a business background
engineering or science background is a plus
First experience in marketing, GTM, strategy or growth ideally in a startup or fast-moving environment
Excellent communicator in English: you write clearly, adapt your tone to the audience (scientific, business), and take care in the quality of every word you use
French is a plus
Strong visual communication skills: you produce clean content autonomously on Canva or similar tools
Operationally proficient with AI tools (Claude, n8n, Dust, or similar): you use them daily, not occasionally
Entrepreneurial: you bring ideas, test them, and iterate without waiting for instructions
Genuine curiosity about deep tech: you engage with technical concepts without needing to be a scientist
Strong analytical skills: you structure information quickly and turn it into actionable output

Job Responsibility

Own Entalpic’s external communications: editorial calendar, blog posts, LinkedIn presence, press mentions, conference materials and client case studies
with a consistent voice across all channels
Translate complex science into compelling stories, in close collaboration with our scientific team
Manage Entalpic's conference and events presence: selection, preparation and follow-up
Maintain and adapt branding across all external channels
Conduct market and competitive analyses across our target verticals (semiconductors, catalysis, energy storage)
Run go-to-market studies to identify segments, personas, and routes to market
Own acquisition campaigns end-to-end: audience targeting, messaging, channel execution (Linkedin, email, events), and performance tracking
Build and operate outbound sequences and pipeline workflows in coordination with the business team
Support positioning and long-term market strategy in collaboration with leadership

What we offer

Competitive salary
Full transport reimbursement
Competitive health insurance (Alan)
Remote-friendly: min. 3 days/week at Station F, Paris
Access to industry conferences and internal learning sessions

Fulltime

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AI and Automation Engineer (Early Career)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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