A software-first aerospace company
Machine Learning Engineer
Location
Poland
Posted
56 days ago
Salary
0
Seniority
Mid Level
Job Description
Machine Learning Engineer
Air Space Intelligence
About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible. What you will do: As part of our core engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You’ll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You’ll approach problems with a software engineer’s mindset—prioritizing robustness, maintainability, and performance at scale. What we value: - Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Experience using LLMs in production environments — covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain - Strong understanding of data structures, algorithms, and software engineering best practices. - Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts. - Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools. - Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines. - A bias for simplicity and clarity in solving complex problems. - Intellectual curiosity and willingness to collaborate. - Clear communication and collaboration across cross-functional teams. What we offer: - Flexible Working Hours: With a global team supporting mission-critical operations, we have to be at our best, so we’ve adopted flexible hours to allow for balance. - Premium Healthcare and Health Insurance: Health and wellness are critical to living a happy and resilient life. We provide first-class medical, dental and vision coverage to you and your dependents. - Competitive Salary & Equity: Our team is our biggest asset. We value the hard work that each person commits to us, so we provide competitive, transparent compensation packages. - Generous relocation package to assure smooth relocation to Tricity area. - High Energy Environment: We live by the mantra that now is better than never. You will find yourself surrounded by peers who constantly challenge the status quo. - Flexible Time Off: We encourage you to take time off as you need it. While our team is hard-working, our success is measured by output—not time spent. - Office, Equipment & Tools: We bring the best tools to the mission, from ergonomic desk setups to modern productivity software. We have a freshly prepared team breakfast and lunch every day. How do we hire: We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
Benefits
- 401(K), 401(K) matching, Childcare benefits, Commuter benefits, Company equity, Company-sponsored outings, Dental insurance, Disability insurance, Family medical leave, Flexible Spending Account (FSA), Flexible work schedule, Free daily meals, Generous parental leave, Generous PTO, Health insurance, Job training & conferences, Open door policy, Life insurance, Mean gender pay gap below 10%, Onsite gym, Open office floor plan, Paid holidays, Paid sick days, Pet friendly, Promote from within, Relocation assistance, Free snacks and drinks, Vision insurance, Wellness programs, Mental health benefits, Fertility benefits, Hybrid work model, In-person all-hands meetings, Pay transparency, Transgender health care benefits, Personal development training, Flexible time off, Floating holidays, Company-wide vacation
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Senior Machine Learning Operations Engineer
Arrive LogisticsWe Deliver, So You Can. 📍Austin | San Antonio | Chicago | Tampa | Guadalajara 🔜 Phoenix & Columbus
Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want As a Senior Machine Learning Operations Engineer at Arrive, you will serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. This role also requires driving, contributing to, and maintaining the quality and functionality of crucial roadmap projects. These initiatives may vary from serving models scalably to building ML-powered services focused on maximizing profit. What You'll Do - Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch. - Lead sprints, conduct rigorous code reviews, and set the "gold standard" for ML engineering practices across the organization. - Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth. - Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives - Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring. - Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability. - Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain. - Proactively propose solutions to gaps or risks in process, technology, software design and architecture - Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices - Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions. - In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience. - 5+ years of experience with ML ops, model serving and optimization. Experience with Chalk and Snowflake is a plus. - 5+ years of experience with Python, object oriented programming and building highly scalable backend services. - Expertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith. - 3+ years of experience with relational databases - 2+ years in a lead or senior-level capacity - 2+ years of experience designing maintainable and scalable systems - Proven expertise in system design with a focus on distributed systems and event-driven architectures - Experience developing cloud-native dockerized applications in Kubernetes - Experience working with online experimentation and platforms like Statsig - Understanding of both traditional machine learning and deep neural networks - Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts. - Strong analytical, problem-solving, decision-making, and interpersonal skills. - Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery. - You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player. - You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services. - You find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner. - You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners. - You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace. - You take initiative to go beyond current responsibilities and actively seek new challenges. - You are passionate about building high impact ML and data driven products. The Perks of Working With Us - Take advantage of our benefits including monthly grocery vouchers, vacation days, savings fund, medical insurance (including dental and vision plans) and more. - Leave the suit and tie at home; our dress code is casual. - Enjoy office wide engagement activities, team events, happy hours and more! - Work in our new Guadalajara office located in Torre 1500 (Av. Americas 1254) within the plaza, you'll find cafes and a wide variety of local restaurants. - Start your morning with free coffee! - Maximize your wellness with free counseling sessions through our Employee Assistance Program - Get paid to work with your friends through our Referral Program!
• Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data. • Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand. • Influence data storage and processing strategies. • Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform. • Reduce time-to-deployment for dashboards and ML models. • Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets. • Work with large datasets under performance constraints comparable to those at the largest companies. • Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
• Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance. • Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints. • Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels. • Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value. • Set technical standards and lead the development of scalable, testable, and high-performance applications. • Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization. • Work on systems that affect millions of users daily, scaling machine learning systems with billions of data points and millions of inferences per second. • Gain experience in architecting and scaling advanced ML solutions for real-world challenges, moving beyond standard approaches from research papers. • Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale.
