Senior Machine Learning Engineer, Central AI Job at Atlassian (Canada)

Senior Principal Product Manager, Confluence AI

As a Senior Principal Product Manager on the AI team for our Confluence product,...

Location

United States , San Francisco

Salary:

183200.00 - 294400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

10+ years of experience in product management, with a focus on AI, machine learning, or related technologies
Proven track record of successfully leading cross-functional teams to deliver complex software projects and successfully iterating on functionality through experimentation
Strong understanding of AI and machine learning concepts, with experience in applying these technologies to real-world products and solutions
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
Demonstrated ability to thrive in fast-paced environments with high levels of ambiguity, where priorities may shift rapidly and flexibility is essential for success

Job Responsibility

Own the vision and roadmap for AI within Confluence
Act as an AI leader across Atlassian, shaping the overall product strategy and thinking of AI from your vantage point within Confluence
Lead a direct cross-functional team of ~60 engineers, designers, data scientists, and other discipline leads to deliver high-quality AI functionality and features to end users
Collaborate closely with internal Confluence teams to support the integration of AI capabilities into their feature development process, ensuring alignment with AI program goals and coherence of experiences
Work closely with partner teams, including central platform teams, to align on vision, strategy, and execution plans for AI initiatives across Atlassian products
Define key results (KRs) and metrics to measure the success and impact of AI features, and use data-driven insights to iterate and improve
Meet regularly with customers to gather feedback and requirements, and to obtain a deep understanding of customer pain points
Stay informed about industry trends, emerging technologies, and competitive landscape related to AI and machine learning, and leverage this knowledge to drive innovation within Confluence
Act as a subject matter expert on AI technologies and methodologies, providing guidance and mentorship to team members and stakeholders
Communicate effectively with stakeholders at all levels of the organization, including executive leadership

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Machine Learning Engineer

LMArena is seeking a Senior Machine Learning Engineer to help scale and strength...

Location

United States , Bay Area

Salary:

Not provided

Arena Intelligence, Inc.

Expiration Date

Until further notice

Requirements

Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
Experience in deep learning, language models or reward model training
Experience in working with LLM for fine tuning, prompt engineering, function calling etc
Self-motivated with a willingness to take ownership of tasks
A passion for shipping quality products
4+ years of industry experience or relevant projects
Solid understanding of statistics, and various tools and methodologies for evaluating uncertainty in a way that is specific to the given product being shipped

Job Responsibility

Architect and build what will become our core modeling for data and evaluation products
Own the full stack data, model training, and eval pipelines
Help grow a culture of feedback and rapid product iteration as we build new features as a tight-nit team
Conduct research into state-of-the-art evaluation methods and contribute to the long-term vision for a centralized, scalable evaluation platform

What we offer

Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact

Fulltime

Senior AI/ML Engineer

Results-driven AI/ML Engineer with expertise in designing, training, and deployi...

Location

India , Hyderabad & Pune

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related field
5-8 years of experience in machine learning
2+ years in designing and implementing generative AI models or working specifically with transformer-based models
Proficiency in Python
Experience in libraries and frameworks central to generative AI, such as Hugging Face Transformers, PyTorch, and TensorFlow
Strong understanding of transformer architectures, language models, and generative modeling techniques
Expertise in data processing techniques for training large language models
Familiarity with ML Ops practices and tools
Experience with cloud platforms (AWS, GCP, Azure) and GPU/TPU resources
Strong foundation in machine learning algorithms, deep learning, generative AI techniques

Job Responsibility

Design, develop, and deploy advanced AI models with a focus on generative AI
Work with extensive and complex data sets, performing tasks such as cleaning, preprocessing, and transforming data
Collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs
Implement, fine-tune, and scale generative AI models in production environments
Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment
Stay informed about the latest advancements in generative AI research, techniques, and tools
Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders

What we offer

Opportunity to work on impactful technical challenges with global reach
Vast opportunities for self-development, including online university access and knowledge sharing opportunities
Sponsored Tech Talks & Hackathons
Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

Senior Software Engineer - AI Applications

Vanilla is seeking a Senior Software Engineer - AI Applications with a strong ba...

Location

United States

Salary:

160000.00 - 190000.00 USD / Year

Vanilla Technologies

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience
6+ years relevant work experience
Proficiency in, at least, one modern programming language such as Python or Javascript
Experience building commercial SaaS solutions
Experience integrating with backend services, and APIs
Experience with OpenAI, Anthropic, or similar for both chat and API interfaces
Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation
Experience with tuning AI performance and scalability of AI infrastructure
Experience with API design and accessing data from external sources
Ability to effectively articulate technical challenges and solutions

Job Responsibility

Utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates
Take ownership in constructing services to ingest structured results
Work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows
Build models/services that can ingest data, extract key information and surface insights
Drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform
Build tooling to support model training, evaluation, inference serving, monitoring and alerting
Use the latest ML frameworks and open source tools to develop new model training pipelines
Identify, extract, transform, and load data from disparate sources into a centralized system
Normalize, cleanse, and validate this data
Design and implement schemas, optimize queries, and manage database performance

What we offer

Flexible paid time off policy and 10 company-wide paid holidays
Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents
Medical, dental, and vision benefits coverage for employees and their families
401K eligibility after one month of employment
Free estate planning documents
Budget for learning & development and home office setup
Paid parking or transit for hybrid and in office employees

Fulltime

Senior Machine Learning Ops Engineer

As our Senior MLOps Engineer, you will take ownership of our machine learning pl...

Location

Germany , Berlin

Salary:

Not provided

enpal

Expiration Date

Until further notice

Requirements

4+ years of experience in MLOps, ML engineering, or applied machine learning in production environments
Strong ownership mentality—you care about impact, not just implementation
Clear communicator who can explain complex ML concepts to non-technical stakeholders
Solid experience with cloud infrastructure (Azure preferred), container orchestration (Docker/Kubernetes), and IaC (Terraform)
Proven track record with ML lifecycle tooling—model versioning, monitoring, retraining, CI/CD
Familiarity with MLFlow, Airflow, or similar platforms
Strong programming skills in Python and experience with ML frameworks
Hands-on experience with Snowflake, Databricks, or modern data stack tools

Job Responsibility

Act as AI Act Steward within Enpal - ensure compliance with the EU AI Act and future regulations
Build and maintain a central registry of all ML and GenAI use cases and models
Design processes to monitor high-risk models, ensuring explainability, robustness, and fairness
Design and implement core infrastructure, including: A centralized Model Registry
A scalable Feature Store
Automated Monitoring systems for both ML and GenAI models
Orchestration pipelines for retraining and redeployment (e.g. Airflow-based)
Collaborate with Data Engineering to ensure seamless CI/CD for ML workflows
Drive implementation of GenAI-based agents that interface with our DWH (e.g. access distribution, text-to-SQL, semantic search, natural language querying)
Prototype and deploy agentic LLM workflows using Snowflake and other enterprise data assets

What we offer

Competitive salary
Flexible working arrangements
Empowering team culture
Hybrid working model
Modern office in Berlin-Friedrichshain with amenities (ping-pong table, yoga corner, roof terrace, stocked drinks fridges)
Onboarding day to get to know the company, team colleagues and founder
Monthly all-hands meetings
Lunch & Learn sessions
Legendary team spirit and unforgettable team events
Strong feedback culture

Fulltime

Manager II, Applications Developer, FinTech AI

We are seeking a Manager II, FinTech AI Application Development (L5B) to join Ub...

Location

United States , San Francisco

Salary:

211000.00 - 234000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Finance, Accounting, Computer Science, Data Science, or related field
Strong knowledge of enterprise finance platforms (e.g., Oracle EPM, SAP, data warehouses) and finance workflows
Demonstrated ability to lead cross-functional programs and influence senior stakeholders
10+ years of professional experience, including 5+ years in Finance/Accounting systems, processes, or technology
At least 2+ years of direct experience with AI/ML concepts, including generative AI, LLMs, or related technologies
CPA, CFA, or advanced degree in Finance, Accounting, or Data Science
Prior experience delivering AI/ML solutions in Finance or Accounting contexts
Familiarity with modern AI tools and techniques (e.g., prompt engineering, RAG, synthetic data)
Excellent communication and storytelling skills to translate technical concepts for Finance leaders
Experience managing and mentoring technical teams

Job Responsibility

Own and drive the AI roadmap for Finance and Accounting, in partnership with Finance leadership
Establish structured frameworks for identifying, evaluating, and prioritizing AI opportunities based on ROI, scalability, and risk
Stay ahead of AI and ML advancements, translating them into practical applications for Finance and Accounting
Act as the primary liaison between Finance/Accounting and Engineering, ensuring AI initiatives align with business goals
Champion AI adoption across Finance by influencing stakeholders, shaping narratives, and demonstrating value
Partner with central AI platform teams to leverage infrastructure, tools, and best practices
Manage and mentor a small but growing AI-focused team, fostering a culture of innovation and learning
Guide the design and validation of AI proofs-of-concept (developed by technical contributors), ensuring alignment with Finance needs
Engage with technical details as needed to evaluate approaches and ensure sound design
Oversee the transition of successful POCs into production through close collaboration with Engineering

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Principal Product Data Scientist

As a Principal Product Data Scientist, you will operate as the most senior techn...

Location

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
Expert Level proficiency in Python and SQL
Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering)
Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch
A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design)
Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products
Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation
Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists
Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job Responsibility

Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences
Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization
Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility
Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production
Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes
Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value
Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence
Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities
Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap
Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
“Work your way” with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums

Business Development Director - Public Sector

We are seeking an ambitious Business Development Director to lead and grow our P...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

A proven track record of exceeding sales targets by building strategic relationships with senior civil servants and departmental heads within the UK public sector
10+ years of experience managing complex sales cycles from initial prospecting to deal closure, specifically within central and/or local government
Demonstrable expertise in successfully writing and winning bids through major government procurement frameworks (e.g., G-Cloud, DOS)
Experience in scaling a business pipeline within a digital consultancy or technology services environment
Strong understanding of digital transformation, AI, data, and modern engineering practices
Exceptional leadership credentials with the ability to inspire clients and internal teams, driving growth by deeply understanding and solving client problems

Job Responsibility

Drive Revenue Growth: Take full ownership of the public sector sales cycle—from initial prospecting and qualification to bid management and deal closure—with a clear focus on achieving ambitious revenue targets
Scale the Pipeline: Develop and execute the sales strategy to expand our pipeline of high-value opportunities within key government departments and agencies
Win High-Value Bids: Lead the end-to-end bid process for major public sector frameworks (including G-Cloud, DOS, and AI DPS), leveraging our thought leadership to create winning proposals
Deepen Strategic Relationships: Cultivate and nurture relationships with senior leaders and departmental decision-makers across your target accounts, becoming a trusted advisor on AI-driven transformation and operational productivity
Shape and Sell Our Value Proposition: Articulate the Elsewhen proposition for public sector buyers, clearly communicating how our AI-powered solutions in LLM, Generative AI, and Machine Learning can solve their most pressing challenges and drive sales
Represent Elsewhen: Act as the public face of our public sector practice at key industry events and TechUK sessions to build our brand, generate leads, and enhance our position as an innovator in the sector

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family friendly policies, including enhanced maternity, paternity and shared
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

Senior Machine Learning Engineer, Central AI

Atlassian

Location:
Canada , Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2025

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

Similar Jobs for Senior Machine Learning Engineer, Central AI