ML for CAX Application Engineer

Solutions Engineer

Neural Concept

About the Role The mission of Neural Concept's Application Engineering team is to help industry leaders redefine how they design products — by bridging cutting-edge AI technology with real-world engineering challenges. We work hand-in-hand with engineering, design, and executive teams across automotive, aerospace, and energy to understand their strategic needs and deliver solutions that create measurable impact. As part of this team, you will sit at the intersection of business and technology — translating complex customer challenges into high-value AI-powered solutions, and ensuring those solutions actually land and stick within our customers' organizations. This is a role for someone who thrives equally in a boardroom conversation with a VP and in a deep-dive technical session with engineers. If you're excited about shaping how industry leaders adopt AI and about being a trusted advisor to some of the world's most sophisticated engineering teams, this is the role for you. What you will do * Understand and shape customer strategy: Engage with senior stakeholders (VP, C-level) to understand their business challenges, articulate the value of AI-assisted design, and co-design high-level solution roadmaps. * Design and deliver solutions: Translate business requirements into concrete technical approaches using NC's platform, working closely with customer engineering teams and internal developers. * Drive adoption: Guide customers through AI adoption — from proof-of-concept to full integration — ensuring teams are equipped and confident to use new workflows. * Be the bridge: Act as the link between customer needs and NC's product evolution, feeding insights back to our development team to continuously improve the platform. Who you are * You are a strong communicator and trusted advisor — you can engage confidently with senior stakeholders (VP, C-level), build relationships quickly, and drive alignment around complex, ambiguous problems; * You have experience designing solutions end-to-end: from understanding a business need to translating it into a concrete technical approach; * You are comfortable working in a customer-facing environment, navigating both executive conversations and deep technical sessions with engineering teams; * You hold a Master's or PhD degree in Engineering, Applied Mathematics, Physics, or a related field — or have equivalent experience in an industrial or consultancy setting; * You have a solid understanding of engineering simulation concepts (CAD/CAE, CFD, FEM, or similar) — whether from an academic or industry background; * You have working knowledge of machine learning and how it applies to engineering problems; hands-on experience with Python and ML/deep learning frameworks is a strong plus; * You are intellectually curious and eager to tackle real-world engineering challenges through AI and automation; * You are fluent in English; What You Get * Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. * Benefit from a competitive salary and rewarding opportunities as we continue to scale. * Thrive in a collaborative, multicultural environment where your work is visible and recognized. * Develop professionally alongside talented colleagues who share knowledge freely and support one another. * Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. * Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. * Comprehensive package for PTO, healthcare (100% offered by the company for medical/vision/dental) and 401K matching Where You Will Be * New Jersey office * Travelling: This position will require travelling to customer locations in the US. * Start date: ASAP * Eligibility: Applicants with a valid work permit in the USA. We do not provide a sponsorship for the US visa. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

Senior ML Engineer (JetBrains Research)

JetBrains

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications. Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts. IN THIS ROLE, YOU WILL:  * Design and prototype machine learning solutions to improve the software development workflow. * Apply existing open-source models or train custom ones as needed. * Build training and evaluation pipelines that support fast iteration and ensure reproducibility. * Stay up to date with the latest advancements in applying machine learning to source code. * Collaborate with colleagues and provide mentorship when appropriate. WE’LL BE HAPPY TO HAVE YOU ON OUR TEAM IF YOU:  * Have experience designing machine learning systems from scratch. * Have a background in natural language processing or code modeling. * Have a proven track record of delivering machine learning projects. * Know how to design reproducible ML experiments. * Enjoy working on projects with high uncertainty. * Are proficient in Python, Java, or Kotlin. * Have hands-on experience with modern ML frameworks. IT WOULD BE NICE IF YOU:  * Have experience applying machine learning to programming languages. * Have hands-on experience building and improving AI agents. * Have experience in A/B testing and general knowledge of statistics * Have worked with large-scale data processing pipelines #LI-KP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

AI/ML Engineer

RebTel Networks AB

What will you do? As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both. You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up. Areas of ownership: You'll own work across two complementary tracks, and you'll ship in both. Classical ML, in production, for operational leverage Risk and fraud models across payments, top-ups, and account behaviour Churn prediction and retention modelling on a user base of a million-plus Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining LLMs and AI agents, from internal automation to in-product features Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses Move LLM capability into the product as user-facing features Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 4+ years of hands-on ML engineering in Python, with real production ownership not just notebooks Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration Strong written and spoken English, and the ability to translate between business problems and ML ones Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes Obsession with staying up-to-date on developments in the AI space Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus Background in fintech, payments, telecom, or other regulated / operational domains is a plus Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.