Search Senior Machine Learning Engineer Job at Perplexity (Belgrade, London, Berlin)

Senior Machine Learning Engineer

Working at Atlassian: Atlassians can choose where they work – whether in an offi...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of related industry experience in the ML domain
Expertise in Python, Kotlin or Java with the ability to write performant production-quality code, familiarity with SQL, Vector database and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Improving productivity of help-seekers in JSM, leveraging AI
Using RAG methodology to scan through the Knowledge Base, index, hydrate and generate answers which are accurate
Expanding to supporting multiple-languages, improving correctness scores, eliminating hallucinations, expanding search space beyond Knowledge Base
Implementing AI/ML for generating KB articles from issues
Suggesting and creating workflows through AI for solving customer queries
Other initiatives to create impact on overall helpfulness to the help seeker

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing machine learning engineering teams
Proven track record of building and scaling machine learning models in business applications using large datasets
Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus
Strong technical expertise in machine learning, data science, and system design
Excellent communication skills to explain complex concepts to diverse audiences
Agile mindset with a focus on iterative development and continuous improvement
A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.

Job Responsibility

Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence
Mentor and coach team members on best practices, technical skills, and career development
Hire, onboard, and retain top talent to build a high-performing team
Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring
Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems
Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals
Define and execute the vision and strategy for the Knowledge Graph Team
Influence the strategic direction of machine learning initiatives across Atlassian's products
Ensure timely delivery of high-quality solutions that meet customer needs
Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly

What we offer

Health coverage
Paid volunteer days
Wellness resources.

Fulltime

Senior search engineer

Location

Japan , Tokyo

Salary:

8000000.00 - 12000000.00 JPY / Year

Randstad

Expiration Date

March 24, 2026

Requirements

5+ years of experience as a search engineer or in a directly related role
Must have expertise in search technologies like Elasticsearch, Solr, or Lucene
Proficiency in Python and/or Java for backend systems development is essential
Must have experience with machine learning models and natural language processing
Proven ability to optimize query parsing, indexing, and relevance tuning for search systems
Experience working with AI and ML models, preferably with tools like TensorFlow or PyTorch
English proficiency is required
Japanese language is a plus

Job Responsibility

Remote work

What we offer

Health insurance
Pension insurance
Employment insurance
Performance-based bonus
Saturdays off
Sundays off
Public holidays off

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

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

Join Truveta’s Intelligence Platform and Applications team to engineer the next ...

Location

United States , Seattle

Salary:

165000.00 - 190000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment
Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A
Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL
Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines
Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP)
B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field

Job Responsibility

Design and reason with agentic AI frameworks
Bring a deep understanding of LLM fundamentals
Work fluently with embeddings and vector stores
Excel at model fine-tuning
Think and build like engineers
Collaborate across boundaries
Demonstrate senior-level ownership
Understand evaluation deeply
Adapt and learn continuously
Act with purpose

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)

Fulltime

Senior machine learning engineer

Location

Japan , Tokyo

Salary:

10000000.00 - 16000000.00 JPY / Year

Randstad

Expiration Date

October 11, 2027

Requirements

Empathy with mission, vision and values
6+ years' experience working as a software/machine learning engineer
5+ years' experience as a Machine Learning Engineer
4+ years' experience as a Deep Learning engineer
Experience in developing GNN or generative models or Geometric Deep Learning
At least 2 publications as first author in international conferences/ journals

Job Responsibility

Appropriate design of evaluation methods based on task-specific understanding of metric properties
Hypothesis proposal, development implementation and performance validation of machine learning models for compound information
Proposal and creation of features according to data and purpose
MLOps, implementation of distributed computing environments
Training machine learning models, exploring and adding data to be used for inference
Search for relevant papers, application and validation of concepts

What we offer

休憩室
更衣室
健康保険
厚生年金保険
雇用保険
賞与

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

Search Senior Machine Learning Engineer

Perplexity

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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Search Senior Machine Learning Engineer

Perplexity

Location:

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 21, 2026

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Job Posted:
February 21, 2026