Staff ML Engineer

Staff ML Engineer

Berlin Vollzeit 48000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join us to design and optimize AI technologies for enterprise translations.
  • Arbeitgeber: LILT is a leading AI solution for global enterprise translations, revolutionizing multilingual experiences.
  • Mitarbeitervorteile: Enjoy competitive salary, equity, flexible time off, and a monthly lifestyle stipend.
  • Warum dieser Job: Be part of a dynamic team, work on cutting-edge AI, and enjoy a hybrid work environment.
  • GewĂĽnschte Qualifikationen: 3+ years engineering experience, 2+ years in Machine Learning, and a degree in Computer Science or related field.
  • Andere Informationen: Work in a collaborative environment with top researchers and engineers in the field.

Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.

LILT in the News

About Us

LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

While our core AI technology might share similarities with ChatGPT and Google Translate, it’s what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer’s content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer’s existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions.

Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It’s the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page !

Authorization to work in the U.S. / Germany is a precondition of employment.

The Engineering Team at Lilt

Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.

What you’ll do

In tight collaboration with Lilt’s research team, the infrastructure team, and the wider Engineering organization you will be in charge of productizing new AI technologies, improving and maintaining our Machine Learning Operations infrastructure, and optimizing Large Language Model deployments.

This position is based out of our Indianapolis, IN or Berlin offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote. Once offices are opened in those locations you will be expected to work in the office in a hybrid capacity.

Key Responsibilities:

  • Design, maintain and optimize CI/CD pipeline and infrastructure for Large Language Model and vector database deployments.

  • Collaborate with the Research and Engineering teams on infrastructure development for Lilt’s production and on-premise environments.

  • Design and implement architecture to efficiently productize new AI technologies, guaranteeing high availability and reliability.

  • Identify and facilitate delivery of multi-team projects on clear timelines.

  • Give constructive, effective technical and organizational feedback on work product and communication.

  • Work with Product to prioritize infrastructure improvements and technical debt against business requirements.

Skills and Experience:

  • Bachelor’s, Master’s or equivalent in Computer Science, Statistics, or Computational Math (or equivalent industry experience in Computer Science or a related technical discipline).

  • 3+ years of engineering experience

  • 2+ years experience working on a Machine Learning product.

  • Experience with containerized CI/CD workflows

  • Experience with production deployment and optimization of large neural networks on accelerator hardware (GPUs)

  • Experience with distributed LLM training infrastructures

  • Excellent verbal and written communication skills.

  • Passion to devise solutions that require a focus on systems thinking.

  • Demonstrated ability to gather, organize, and synthesize significant and diverse information.

  • Strong desire to master the product that you create, and to understand the customer that uses the product.

  • Experience collaborating with other engineers and researchers on large-scale machine learning systems.

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – Lilt.

At its core, Lilt has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so Lilt assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, Lilt has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.

Benefits:

  • Compensation: Competitive salary, meaningful equity, and time off plus company holidays.

  • Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle.

US Benefits:

  • Compensation: At market salary meaningful equity, 401(k) matching, and flexible time off plus company holidays

  • Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability

  • Paid parental leave is provided after 6 months.

  • Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle

Lilt is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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Staff ML Engineer Arbeitgeber: LILT AI

At LILT, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration. With a hybrid work model based in vibrant cities like Indianapolis and Berlin, employees enjoy the perfect balance of in-office energy and remote flexibility. Our commitment to employee growth is evident through competitive compensation, personalized benefits, and opportunities to work with cutting-edge AI technologies, making LILT a truly rewarding place to advance your career.
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Kontaktperson:

LILT AI HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Staff ML Engineer

✨Tip Number 1

Familiarize yourself with the latest advancements in natural language processing (NLP) and machine learning technologies. Being well-versed in these areas will not only help you understand LILT's products better but also demonstrate your passion for the field during discussions.

✨Tip Number 2

Engage with the LILT community on platforms like LinkedIn or GitHub. By following their updates and participating in discussions, you can gain insights into their projects and culture, which can be beneficial when networking or during interviews.

✨Tip Number 3

Prepare to discuss your experience with CI/CD pipelines and containerized workflows. Since this role emphasizes optimizing infrastructure for large language models, showcasing relevant projects or challenges you've tackled will set you apart.

✨Tip Number 4

Highlight any collaborative projects you've worked on with cross-functional teams. LILT values teamwork, so sharing examples of how you've successfully partnered with engineers and researchers will demonstrate your ability to thrive in their environment.

Tipps für deine Bewerbung 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Staff ML Engineer position. Tailor your application to highlight relevant experiences and skills that align with LILT's focus on AI technologies and machine learning.

Highlight Relevant Experience: In your CV and cover letter, emphasize your engineering experience, particularly in machine learning products. Mention specific projects where you've worked with CI/CD pipelines, large neural networks, or distributed training infrastructures.

Showcase Communication Skills: Since excellent verbal and written communication skills are crucial for this role, ensure your application reflects your ability to convey complex technical concepts clearly. Use concise language and structure your documents well.

Personalize Your Cover Letter: Craft a personalized cover letter that not only outlines your qualifications but also expresses your passion for LILT's mission and technology. Mention how your background aligns with their innovative approach to AI translation.

Wie du dich auf ein Vorstellungsgespräch bei LILT AI vorbereitest

✨Understand LILT's Technology

Before your interview, make sure you have a solid grasp of LILT's Contextual AI Engine and how it differs from other translation technologies. Be prepared to discuss how your experience with machine learning can contribute to enhancing their AI solutions.

✨Showcase Your Collaboration Skills

Since the role involves tight collaboration with research and engineering teams, be ready to share examples of past projects where you successfully worked in a team environment. Highlight your ability to communicate effectively and give constructive feedback.

✨Demonstrate Your Problem-Solving Abilities

LILT values systems thinking and innovative solutions. Prepare to discuss specific challenges you've faced in previous roles, particularly related to CI/CD pipelines or large neural networks, and how you approached solving them.

✨Ask Insightful Questions

Prepare thoughtful questions about LILT's future projects, their approach to AI technology, and how they measure success in their machine learning operations. This shows your genuine interest in the company and the role.

Staff ML Engineer
LILT AI
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  • Staff ML Engineer

    Berlin
    Vollzeit
    48000 - 84000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-02-01

  • L

    LILT AI

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