Senior/Staff Machine Learning Engineer, Planning Job at PlusAI (Santa Clara)

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
Relocation support for those moving to our offices

Fulltime

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Fulltime

Senior/Staff Machine Learning Engineer, Planning

We’re looking for a machine learning engineer to train and deploy the latest gen...

Location

United States , Santa Clara

Salary:

130000.00 - 220000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Software, Robotics, or related field
4+ years of machine learning engineering experience for robotics applications
Experience developing high-quality software from design and implementation to testing and deployment.
Expertise with Python, willingness to do some C++ development as needed.
Experience training with modern frameworks (e.g. PyTorch)
A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
Hands-on familiarity with cloud data ingestion pipelines
Strong communication and collaborative skills

Job Responsibility

Use complex map and perception sensor output to develop novel deep learning models for our planning stack.
Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.
Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.

Fulltime

Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI

Scale AI is the data foundation for AI, helping organizations build and deploy r...

Location

United States , San Francisco; New York

Salary:

218000.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases
Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience
Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design
Proven proficiency in Python, including writing production-quality, testable, and maintainable code
Experience building systems that integrate models with external tools, APIs, databases, and services
Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints
Strong communication skills and comfort working in customer-facing or cross-functional environments

Job Responsibility

Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases
Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints
Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings
Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs
Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems
Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage
Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

New

Healthcare Assistant & Lead Healthcare Assistant

Are you passionate about supporting older people and making a meaningful differe...

Location

Ireland , Cork

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience in elderly care is desirable but not essential (training may be provided)
QQI Level 5 in Healthcare Support or equivalent is an advantage
A caring, patient and respectful approach to supporting older people
Ability to work flexible shifts including days, nights, and weekends
Strong commitment to resident safety, dignity and wellbeing
Applicants must have legal entitlement to work in Ireland

Job Responsibility

Deliver person-centred care to residents with dignity and respect
Support residents with activities of daily living where required
Encourage independence and social engagement
Maintain a clean, safe and comfortable living environment
Build positive relationships with residents, families, and colleagues
Follow all health, safety and safeguarding procedures
Assist with compliance processes, inspections, and quality standards
Lead Healthcare Assistants will also assist in guiding care teams, supporting best practice, and helping maintain high standards of care delivery

What we offer

Flexible working hours to support work–life balance
Local employment opportunities within the Douglas, Cork area
Competitive rates of pay in line with experience and role
Supportive team environment with ongoing training and development
Employee wellbeing initiatives
Uniform provided
Free on-site parking
Meals provided while on duty

New

Bakery Team Member

Join us to "Change Hospitality For Good". Here at the Cornish Bakery, we want to...

Location

United Kingdom , Falmouth

Salary:

8.05 - 12.80 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Eligible to live and work in the UK

Job Responsibility

Make the World’s Best Coffee
Deliver Outstanding Customer Service
Prepare Award Winning Food
Maintain High standards within the Bakery
Be part of a Team who strive to Aim Higher at all times

What we offer

50% discount on food and drink
Pasty Perks – bespoke reward system offering discounts and savings on favourite brands
Financial well-being benefit through Stream – save directly from wages into a high interest savings account or access wages before pay-day
Employer funded health and wellbeing services with access to a 24/7 GP line, Employee Assistance Program and discounted gym memberships
Paid birthday day off
Member of the shareholder fund (service dependent)
Team social events with in-bakery incentives
Up to 28 days of holiday (including bank holidays), pro rata if necessary

New

Housekeeping Assistant

In Glasgow's prestigious West End, Kelvinside Manor provides luxurious accommoda...

Location

United Kingdom , Glasgow

Salary:

12.27 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience from a housekeeping or domestic cleaning role
Basic understanding of infection control, COSHH, and compliance standards
Ability to follow instructions and cleaning schedules
Ability to report issues
Ability to work well with others in a professional and courteous manner
Pride in your work, attention to detail, time management, and respectful communication
Ability to work well as part of a team or on your own
Demonstrating a kind and caring nature to all within the care home
Satisfactory references
Disclosure Scotland Scheme Membership (PVG)

Job Responsibility

Maintaining the highest levels of cleanliness in public areas and bedrooms within the home
Responsible for the wash, dry, iron and put away of laundry
Ensuring that our residents' care home facilities, public areas and rooms are maintained to the highest cleaning standards
Replenish and maintain supplies in both resident rooms and common areas
Communicate effectively with residents and colleagues to address needs and concerns

What we offer

Competitive benefits
Overtime rates
Flexible working hours considered

Parttime

New

Product Manager - Observability AIOps

We are looking for a Product Manager - Observability AIOps to lead the strategy,...

Location

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in Computer Science, IT, or related field
5+ years in Observability and AIOps within hybrid, complex environments
Strong knowledge of FSO (APM, logs, traces, RUM), SLI/SLOs, and service topology
Hands on with Dynatrace or similar smart observability (i.e. Datadog, Splunk, New Relic) and AIOps engines (correlation, deduplication, anomaly detection, auto remediation)
Experience integrating with ServiceNow, SAP, CI/CD pipelines, cloud services (Azure, AWS, GCP), and automation platforms
Solid understanding of modern application architectures, networks, databases, and infrastructure
Excellent communication and stakeholder management skills
Fluent in English

Job Responsibility

Define and execute the product vision and roadmap for Observability and AIOps, aligned with company objectives
Develop capabilities across metrics, logs, traces, RUM/synthetics, topology, and AI driven insights (anomaly detection, forecasting, correlation)
Prioritize features that enhance reliability, reduce MTTR, automate L1/L2 tasks, and improve customer experience
Collaborate with engineering, platform teams, and partners to ensure effective instrumentation, intelligent alerting, and automated workflows
Integrate Observability with ServiceNow, CI/CD, cloud platforms, and business processes to streamline operations
Leverage analytics to detect issues proactively, reduce noise, and optimize performance and resource usage
Champion an observability first and automation driven culture across teams

What we offer

Coaching and mentoring programs
Development opportunities
Equal opportunity employer
IT Equipment
Work with iconic brands
Supportive team

Senior/Staff Machine Learning Engineer, Planning

PlusAI

Location:
United States , Santa Clara

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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