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 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 Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Software Engineer

Founded in 2016, LogRocket's goal is to make every experience on the web as perf...

Location

United States , Boston or NYC

Salary:

135000.00 - 200000.00 USD / Year

LogRocket

Expiration Date

Until further notice

Requirements

4+ years of experience in a full stack or backend development role, preferably with a SaaS company
Familiarity with the state of the art in cloud technologies, including architectural principles, specific tools of the trade, and their strengths and weaknesses
Experience in development environments with demanding scalability or availability requirements
Familiarity with modern Javascript-based applications and frameworks
At least one previous full-time software engineering role

Job Responsibility

Design a system to automatically detect the most common user paths across millions of events
Implement a search backend that allows users to search in real time across billions of log entries
Build a machine learning pipeline that automatically detects bugs in our users' apps
Automate database scaling to improve operating cost while maintaining the ability to respond to traffic spikes
Build a system that automatically recommends integrations for customers based on their toolset

What we offer

Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!)
Unlimited vacation policy
Health, Dental, Vision benefits, 401k, commuter benefits
Generous stock options
Regular team outings and activities (from boat rides to paintball, we’ll try anything!)

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