Search Machine Learning Research Engineer Job at Perplexity (Berlin)

Machine Learning Engineer

At Corsearch, we are dedicated to creating a world where consumers can trust the...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

Corsearch

Expiration Date

Until further notice

Requirements

Proven experience as a Machine Learning Engineer with at least 3 years of professional experience
Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras
Experience with image processing, feature extraction, and text preprocessing techniques
Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis
Hands-on experience with large datasets and data pipelines for training and deploying ML models
Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions
Full professional English proficiency

Job Responsibility

Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition)
Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis
Collaborate with cross-functional teams to improve product and system performance
Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions
Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation
Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations

Fulltime

Senior Machine Learning Engineer, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...

Location

United States , San Francisco

Salary:

183360.00 - 248000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Job Responsibility

Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

What we offer

20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Fulltime

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...

Location

Serbia; Romania , Belgrade; Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
Experience with ML frameworks (e.g., TensorFlow, PyTorch)

Job Responsibility

Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
Build out documentation in relation to architecture, policies and operations runbooks
Share skills, knowledge, and expertise with members of the data engineering team
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience

Fulltime

Software Engineer, Machine Learning

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to j...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of industry experience in software engineering
3+ years focused on applied machine learning or AI
Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring
Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost
Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality
Experience mentoring or leading others and contributing to a culture of technical excellence and innovation

Job Responsibility

Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features
Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows
Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance
Work with product engineers to define and deliver impactful AI features across Figma’s platform
Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment
Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Senior Machine Learning Engineer

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasone...

Location

United States , New York; San Francisco

Salary:

148000.00 - 200000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field
3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems
Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP
Solid software engineering skills with proficiency in one or more programming languages, including Python
Experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
Proficiency in SQL is also required for writing complex queries and transforming data
Experience building REST API-based services
Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes
Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences
A passion for quickly learning new technologies and a drive to solve challenging problems

Job Responsibility

Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery
End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring
Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes
Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation
Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle

What we offer

Taskrabbit is a Hybrid Company
The People
The Diverse Culture
Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees
We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more

Fulltime

Senior Machine Learning Engineer

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the des...

Location

Czechia , Brno; Prague

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
Ideally at least 5 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers)
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure)
Effective communication skill in English, both verbally and in written form

Job Responsibility

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation
Process historical data, search queries, product catalog, and images to extract hidden relations and features
Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach available
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

Fulltime

Senior Machine Learning Engineer

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the des...

Location

Slovakia , Bratislava

Salary:

4500.00 EUR / Month

Bloomreach

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
Ideally at least 5 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers)
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure)
Effective communication skill in English, both verbally and in written form

Job Responsibility

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation
Process historical data, search queries, product catalog, and images to extract hidden relations and features
Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences

What we offer

Restricted stock units
Company performance bonus
Great deal of freedom and trust
Flexible working hours
Virtual-first work with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Personal development workshops
Communication coach available

Fulltime

Search Machine Learning Research Engineer

Perplexity

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Search Machine Learning Research Engineer

Machine Learning Engineer

Senior Machine Learning Engineer, Personalization and Recommendations

Machine Learning Platform / Backend Engineer

Software Engineer, Machine Learning

Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Search Machine Learning Research Engineer

Perplexity

Location:Germany , Berlin

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Search Machine Learning Research Engineer

Machine Learning Engineer

Senior Machine Learning Engineer, Personalization and Recommendations

Machine Learning Platform / Backend Engineer

Software Engineer, Machine Learning

Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 21, 2026