Lyft
- Product / Startup
- >5000
- 2012
- Київ, Montreal, Toronto, Munich, London, Chicago, Portland, San Francisco, Seattle
- Logistic, Mobile, Software Development & Hi-Tech
Переваги для працівників
- English Courses
- Багатонаціональна команда
- Відпустка по догляду за дитиною
- Допомога психотерапевта
- Оплачувані лікарняні
Вакансії Lyft
На жаль, ми не знайшли актуальних вакансій. Ви можете переглянути вакансії інших компаній
- machine learning and AI development
- Python
- LLMs/SLMs
- Azure
- AWS
- or GCP
OUR COMPANY
HBM is a European company building exciting new products from scratch for startups and helping mature companies in their journey towards data-driven innovation and AI based solutions. Our expertise refers to EnergyTech, FinTech, ClimateTech, SocialTech, PropTech, etc.
Founded in Ukraine and developed based on Scandinavian culture, HBM is hiring both in Ukraine and the EU for our customers located in Europe and USA.
Our values include skills, passion, excellence, equality, openness, mutual respect, and trust.
At HBM, you can become a part of growing company, work with creative colleagues, forget about legacy and maintenance, and enjoy modern technologies and creating AI-based solutions. You will participate in a corporate culture, while also enjoying the agility and flexibility of a start-up supported by established outsourcing and development practices, a human-oriented management team, entrepreneurial spirit, and Scandinavian work culture.
We are looking for a Lead or Senior Machine Learning Engineer to contribute to a diverse portfolio of AI projects. This role also includes a key responsibility for driving the AI competence development in the company.
WE PROVIDE YOU WITH THE FOLLOWING EXCITING CHALLENGES
- Lead end-to-end AI product development — from understanding business needs and defining the product vision to selecting the right architecture and implementing advanced AI solutions
- Design and develop cutting-edge AI models, with a focus on LLMs, AI agents, and image recognition technologies
- Shape the AI architecture by contributing to the overall technical vision and strategy of the solution
- Collaborate closely with Solution Architects and distributed development teams
- (optional) Support pre-sales activities as an AI expert, including the preparation of technical solution proposals
WE EXPECT FROM YOU
- Degree (bachelor or master) in Computer Science, Software Engineering, Data Science or a comparable course of study
- 6+ years of hands-on experience in machine learning and AI development
- Strong proficiency in Python and experience in building custom AI/ML models
- Deep expertise in working with LLMs/SLMs, including Retrieval-Augmented Generation (RAG) techniques and model selection based on business and technical criteria
- Experience with at least one of the following:
- building models for image recognition
- building forecasting models
- building scoring models
- Proficiency with AI-focused services in cloud environments (Azure, AWS, or GCP)
- Solid understanding of deploying AI models into production environments
- Excellent communication skills and the ability to engage with both technical and non-technical stakeholders
- Proactive, goal-oriented mindset with a drive for results
- English: upper-intermediate / advanced
WOULD BE A PLUS
- Knowledge of data pipeline design and development
- Participation in pre-sales processes, including client consultations and proposal development
- Experience of working in the distributed, cross-culture Agile environment
WE OFFER YOU
- Modern technologies, new products development, different business domains.
- Start-up agility combined with mature delivery practices and management team.
- Strong focus on your technical and personal growth.
- Transparent career development and individual development plan.
- Flexible working mode (remote/work from office), full remote possibility.
- Competitive compensation and social package
- Private Entrepreneurs support
- Focus on the well-being and human touch.
- Flat organization where everyone is heard and is invited to contribute.
- Passion and Fun in everything we do.
- Python
- CI/CD
- Kubeflow
- MLflow
- Kubernetes
- Apache Spark
- Apache Airflow
The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ expertsincluding data scientists, research analysts, MLOps engineers, ML and LLM architects – we cover the full AI lifecycle, from problem framing to deployment.
In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.
We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.
We also lead Gen AI Lab – our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.
In 2025, a key area of innovation is Agentic AI – where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.
If you are
- A holder of a Ph.D. or master’s degree in Computer Science or a related field
- Competent in Machine Learning/Deep Learning models and model lifecycle, software engineering, and DevOps/MLOps principles
- Adept at Python and traditional Python DS/ML stack
- Knowledgeable of ML solutions design patterns
- Aware of AI/ML and Data Engineering tools in any major cloud platform
- Proficient in setting up CI/CD/CT pipelines for ML
- Hands-on in Kubeflow, MLflow, or similar
- Familiar with containers and container orchestration platforms such as Kubernetes
- Strong in designing, building feature stores, Hadoop ecosystem and Apache Spark, workflow orchestration platforms such as Airflow, message queues and streaming platforms
- Proficient in business communication in English at an upper-intermediate level
And you want to
- Communicate use cases, requirements, and expectations with stakeholders
- Guide Engineering and Data Science teams on ML systems production lifecycle
- Collaborate with Data Science teams on model operationalization strategies
- Work closely with Product teams to deliver and operate ML systems
- Implement end-to-end production pipelines for ML solutions
- Support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
- Set up scalable monitoring systems for data pipelines and ML models
- Java
- JavaScript
- TypeScript
- React
- API
- SQL
- NoSQL
- AWS
- CI/CD
- Docker
- Twilio
- Iterable
Our client started as a small team of developers determined to bring trust and transparency to car shopping. Since then, their innovation and go-to-market acceleration history have driven industry-leading growth.
The product is the largest and fastest-growing automotive marketplace, and they have been profitable for over 15 years. We are here for them to fulfill their mission and give people the power to reach their destination.
If you are
- Proven in Java development, ideally gained in a fast-paced environment
- Experienced with JavaScript, TypeScript, and React
- Proficient in writing well-structured, high-performance code for scalable web applications and APIs
- Knowledgeable in database design, with experience in both SQL and NoSQL systems
- Familiar with cloud platforms like AWS or comparable alternatives
- Skilled in CI/CD workflows and containerization using tools like Docker
- Independent and self-directed in handling tasks with minimal supervision
- Fluent in English at an intermediate level or higher for effective team collaboration
- Experienced with platforms such as Twilio, Iterable, or similar cloud communications solutions (would be a plus)
And you want to
- Collaborate with cross-functional teams, including engineers, product managers, and designers, to identify, address, and solve technical challenges in a supportive and professional environment
- Build and integrate RESTful APIs and backend services that are secure, efficient, and well-documented
- Develop clean, thoroughly tested, and optimized code
- Contribute technical expertise during architectural design reviews and provide hands-on mentorship
- Implement and evolve a communications platform that enables email and SMS communications
- NLP
- LLM
- GPT-4
- Claude
- Gemini
- Python
The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts – including data scientists, research analysts, MLOps engineers, ML and LLM architects – we cover the full AI lifecycle, from problem framing to deployment.
In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.
We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.
We also lead Gen AI Lab – our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.
In 2025, a key area of innovation is Agentic AI – where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.
If you are
- Educated with a master's or bachelor's degree in computer science or a related field
- Experienced in generative AI and NLP techniques, including large-scale transformer models and generative pre-trained LLMs such as GPT-4, Claude, and Gemini
- Knowledgeable in diffusion models and other generative frameworks for both text and image generation
- Competent in applying generative AI and language models to lead innovative NLP and AI-driven initiatives
- Proficient with state-of-the-art pre-trained language models like GPT-4, BERT, and their advanced versions, including fine-tuning for specialized use cases
- Aware of the software development lifecycle and operationalization of machine learning in AI projects
- Experienced in deploying AI solutions across major cloud providers
- Hands-on with Python and AI development frameworks
- Analytical with strong interpersonal and problem-solving skills
- Clear in translating complex technical concepts for non-technical audiences
- Capable of maintaining business-level communication in English at an upper-intermediate level
And you want to
- Develop and implement advanced Generative AI applications, including intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative solutions
- Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using cutting-edge techniques
- Work with the full stack of data analysis, deep learning, and machine learning pipelines, including customer data analysis, modeling, and production deployment
- Select appropriate computational tools for research objectives and experiments
- Present results to stakeholders and gather business requirements
- Build expertise in state-of-the-art Generative AI techniques and methodologies
- Grow your skills within a dynamic and supportive environment
- Build and operationalize ML models, including data manipulation, experiment design, analysis planning, and insight generation
- React
- Remix
- TypeScript
- Spring
- Java
- JavaScript
- CSS
- HTML5
- RESTful API
Our client started as a small team of developers determined to bring trust and transparency to car shopping. Since then, their innovation and go-to-market acceleration history have driven industry-leading growth.
The product is the largest and fastest-growing automotive marketplace, and they have been profitable for over 15 years. We are here for them to fulfill their mission and give people the power to reach their destination.
If you are
- Experienced with 5+ years working with modern frontend technologies such as React, Remix, and TypeScript
- Possessing 1+ year of experience with Spring and Java
- Proficient in developing well-structured, performant web applications using modern JavaScript frameworks like React and Remix
- Knowledgeable in JavaScript fundamentals and design patterns
- Skilled in CSS and HTML5
- Familiar with RESTful APIs and how to integrate them into frontend applications
- Analytical with strong problem-solving skills and attention to detail
- Clear in communication and collaborative in approach
- Independent in execution while aligned with team goals
- Passionate about building a great UI/UX experience through continuous improvements and testing, including E2E and unit tests
And you want to
- Collaborate with engineers, designers, product managers, and data analysts to take ideas from concept to technical design to implementation to testing to measurement
- Be deeply engaged in the full development lifecycle, including designing, developing, testing, deploying, maintaining, monitoring, and improving software
- Write clean, well-tested, and efficient code across the stack
- Pitch in wherever there will be the greatest impact, from building consumer-facing features to integrating with key partners or running A/B tests
- Contribute to architectural discussions and technology selection
- Participate in code reviews and knowledge sharing with the team
- Help troubleshoot production issues across frontend and backend systems
Довідкова інформація
| Компанія: | Lyft |
|---|---|
| Адреса: | CA 94107, United States, San Francisco, 185 Berry Street |
| Юридична назва: | ТОВ "ЛИФТ ЮКРЕЙН" |
| Телефон: | +1 844 250 27 73 |
| E-mail: | support@lyft.com |
| Офіційний сайт Lyft: | lyft.com |
Телефон, контакти компанії
- San Francisco, 185 Berry Street, Suite 5000;
- +1 844 250 27 73;
- support@lyft.com
* Інформацію взято з офіційного сайту компанії "Lyft" lyft.com та інших відкритих джерел.