Senior Machine Learning Engineer

The Senior Machine Learning position at Language Wire is an opportunity for anyone deeply passionate about AI/NLP, and Machine Translation (MT). The role is notable for offering the chance to spearhead the development of next generation neural models, positioning an individual at the forefront of advancements in language processing technology. It's not just about technical expertise; it involves driving initiatives that have the potential to dismantle language barriers globally, offering significant professional growth and the satisfaction of contributing to a more interconnected world. Moreover, the challenges faced in improving translation accuracy, handling diverse languages, and ensuring cultural nuance preservation make this position uniquely rewarding for those eager to innovate and excel in the dynamic field of AI/NLP, and Machine Translation.

Does this role seem interesting? Yes? You should read on

The team you’ll be a part of

The successful candidate will join a dynamic, cross-functional team at the forefront of AI/NLP and Machine Translation, dedicated to revolutionising language services. As a Senior Machine Learning Engineer, you will collaborate closely with Full-Stack Engineers, QA Engineers, Machine Learning Engineers, Data Engineers, Product Manager and report to the ML Team Lead.

If you want to make a difference, make it with us by… Develop innovative next generation neural models for Machine Translate, transforming how languages are learned, processed, and understood on a global scale. Ensure that our machine translation and next gen AI services are not only innovative but also reliable, scalable, available, and delivered fast to meet the demands of clients.  Keep abreast of the latest trends and advancements in machine learning, natural language processing, and machine translation technologies. By engaging in ongoing research, experimentation, and adoption of novel methodologies, you will drive innovation within the team. Additionally, you will share your expertise and insights through mentorship, workshops, and technical presentations, fostering a culture of knowledge sharing and continuous improvement. Advocate for the “you build it, you run it" philosophy.

In one year, you'll know you were successful if...  You have successfully navigated through the challenges of integrating AI technologies into user-friendly products, as evidenced by positive feedback from internal and external stakeholders. You have established robust monitoring and prediction services that support the continuous improvement and scalability of our product offerings. You have introduced innovative machine translation and content generation tools that have measurably improved efficiency and customer satisfaction. You have cultivated a culture of excellence within your team, promoting collaboration and innovation. You have successfully developed a training/fine-tuning pipeline for self-hosted LLMs - both for Machine Translate (MT) & Gen AI

Desired experience and competencies

What does it take to work for LanguageWire?

What you’ll need to bring Expert Knowledge in Python and especially using frameworks like Huggingface Transformers, TensorFlow or PyTorch, PyTorch-Lightning, Scikit-learn. Experience with neural models based on Transformer architectures. Proven experience in training sophisticated neural networks on extensive NLP datasets, harnessing the power of multiple GPUs. Proficiency in developing and fine-tuning multilingual models to handle diverse language pairs effectively. Awareness of ethical considerations and biases in machine translation systems, along with strategies to mitigate them, demonstrating a commitment to responsible AI development. Experience with Retrieval Augmented generation (RAGs) and Vector DBs. Experience and competency in managing and interfacing with SQL and NoSQL databases, BigQuery Comprehensive knowledge of CI/CD workflows and terraform (IaC), with a specialized focus on LLM operations, MLOps. MLflow or Kubeflow: For managing the machine learning lifecycle. Containerization skills with Docker and Kubernetes. Proficiency in cloud platforms: Azure, Google Cloud, or AWS. Version Control and Collaboration - Git: For source code management. GitHub, Azure DevOps: For collaborative development and code reviews. Ability to optimize AI applications for performance, scalability, and security. Data Visualization and BI Tools: Looker, Power BI, Tableau or similar tools for data analysis and visualization. Monitoring and Logging: Prometheus, Grafana, or ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring applications and infrastructure. Focusing on cutting-edge research, translating ideas into proof-of-concept prototypes and evolving them into minimal viable products, while maintaining a collaborative mindset. This involves effective synergy with machine learning engineers, data scientists, full-stack developers, and quality assurance teams to integrate solutions smoothly.

This will make you stand outProfound understanding of LLMs, including their intricacies, evaluation metrics, tuning techniques like QLORA, DPO, and benchmarking strategies.

Our perks Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture International company with over 400 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg, Zurich, Kiev, Gdansk, Atlanta, Finland and Valencia We offer flexible work options tailored to how you work best. Depending on your team, you may have the option to work full-time from the office as an "Office Bee," part-time from the office as a "Nomad," We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun 43 great colleagues in the Copenhagen office belonging to different business departments Open office space with large windows, bringing a light and chill atmosphere for informal chats with colleagues Catered lunches every day The comfiest couches you will ever sit on Monthly Town Hall events broadcast from the office

About LanguageWire

At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.

Our values drive our behavior

We are curious. We are trustworthy. We are caring. We are ambitious.

At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.

Working at LanguageWire — why we like it:

“We believe that we can wire the world together with language. It drives us to think big, follow ambitious goals, and get better every day. By embracing and solving the most exciting and impactful challenges, we help people to understand each other better and to bring the world closer together.”

(Waldemar, Senior Director of Product Management, Munich)

Yes, to diversity, equity & inclusion

In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.

LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.

Want to know more?

We can’t wait to meet you So, why wait 'til tomorrow? Apply today

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