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

Store Associate

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Chicago

Salary:

16.60 - 23.60 USD / Hour

CVS Health

Expiration Date

June 19, 2026

Requirements

At least 16 years of age
Remaining upright on the feet, particularly for sustained periods of time
Lifting and exerting up to 35 lbs of force occasionally, up to 10 lbs of force frequently, and a negligible amount of force regularly to move objects to and from, including overhead lifting
Visual Acuity - Having close visual acuity to perform activities such as: viewing a computer terminal, reading, visual inspection involving small parts/details

Job Responsibility

Providing differentiated customer service by anticipating customer needs, demonstrating compassion and care in all interactions, and actively identifying and resolving potential service issues
Focusing on the customer by giving a warm and friendly greeting, maintaining eye contact and offering help locating additional items, when needed
Accurately perform cashier duties - handling cash, checks and credit card transactions with precision while following company policies and procedures
Maintaining the sales floor by restocking shelves, checking in vendors, updating pricing information and completing inventory management tasks as directed by store manager
Supporting opening and closing store activities, when needed
Providing customer support to all departments, including photo and beauty, ensuring departments are fully stocked and operational while remaining current with all updated services and tools
Assisting pharmacy personnel when needed, including working regular shifts in the pharmacy as part of opportunities for growth and career development
Embracing and advocating for new CVS services and loyalty programs that support our purpose of helping people on their path to better health

What we offer

Dental
Vision
Wellness resources
Employee discounts
Access to certain voluntary benefits
Other programs

Parttime

New

Front Desk Receptionist

As a Front Desk Receptionist, you will be the first and last point of contact fo...

Location

United Kingdom , London

Salary:

37800.00 GBP / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Previous Front Desk or guest facing experience in a hotel environment
Strong communication skills and confident guest interaction
Excellent attention to detail and organisational ability
Ability to multitask and remain calm under pressure
Experience using Opera PMS or similar systems is preferred
Positive attitude and genuine passion for hospitality
Flexibility to work a range of shifts including evenings, weekends, and public holidays
Right to Work in the UK

Job Responsibility

Welcome guests warmly and manage all aspects of arrival and departure
Handle check in and check out procedures accurately using Opera PMS
Respond to guest enquiries and requests promptly and professionally
Coordinate with Housekeeping, Concierge, and Food and Beverage teams to deliver a seamless guest experience
Manage billing and payments accurately and securely
Provide local knowledge and personalised recommendations
Identify opportunities to enhance the guest experience, including upselling where appropriate
Maintain high standards of presentation, professionalism, and service at all times

What we offer

£37,800 annual package inclusive of base salary and service charge
Structured 40 hour working week
Excellent training and clearly defined career development pathways
Strong internal progression opportunities across London and the global Four Seasons portfolio
Holiday entitlement increasing with service up to 33 days
Up to two paid Wellness Days per year
Company Sick Pay, increasing with service
Life insurance while on duty
Up to 20 complimentary nights at Four Seasons Hotels and Resorts worldwide, increasing with service, as well as heavily discounted rates at all properties
50% discount across UK Four Seasons food and beverage outlets from day one for up to four guests

Fulltime

New

Automation Engineer

We are looking for a Test Automation Engineer to join our Quality Engineering te...

Location

Australia , Melbourne

Salary:

Not provided

LGT Gruppe Holding AG

Expiration Date

Until further notice

Requirements

Minimum of 5 years in software quality assurance, with any further experience in the software development industry is highly regarded
Demonstrable experience in testing across financial services platforms, with a strong understanding of end-to-end testing dynamics
Automation testing (User Interface or Web) experience highly desirable
Experience with JIRA, Confluence, and extensive knowledge of test automation tools (i.e. Selenium, Playwright, Testmaster)
Exposure to CI/CD environments is advantageous
Experience with the Avaloq (or any other wealth) platform is highly regarded, along with a good understanding of wealth management processes and products
Solid experience with Agile SDLC methodologies, capable of adapting quickly to evolving project requirements
Degree in Computer Science or related fields preferred
Solid experience within the financial services industry, particularly in wealth management, is highly beneficial
Strong attention to detail with a logical and methodical approach to problem-solving

Job Responsibility

Ensure that all Avaloq and other platform release deliveries meet the quality standards expected by business users and are ready for production
Carry out end‑to‑end sprint testing
Support the Test Lead in overseeing the UAT and PVT test cycles
Write test plans and test cases
Execute test cases
Support business users
Prioritise defects
Provide status reporting to stakeholders
Develop test plans and cases for new functionalities across multiple platforms
Collaborate with business SMEs and management to define and sign off on testing approaches

Fulltime

New

Pharmacy Technician

At CVS Health, we are focused on transforming health care for our customers and ...

Location

United States , Encinitas

Salary:

18.90 - 28.90 USD / Hour

CVS Health

Expiration Date

July 07, 2026

Requirements

Must comply with any state board of pharmacy requirements or laws governing the practice of pharmacy, which includes but is not limited to, age, education, and licensure/certification
If the state board of pharmacy does not address or mandate a minimum age requirement, must be at least 16 years of age
If the state board of pharmacy does not address or mandate a minimum educational requirement, must have a high school diploma or equivalent, or be actively enrolled in high school or high school equivalency program
State-level licensure and national certification requirements vary by state

Job Responsibility

Following all company SOPs at each workstation to help our Pharmacists manage and improve patient health
Following pharmacy workflow procedures at each pharmacy workstation for safe and accurate prescription fulfillment
Contributing to positive patient experiences by showing empathy and genuine care
Completing basic inventory activities, as permitted by law
Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic
Understanding and complying with all relevant federal, state, and local laws, regulations, professional standards, and ethical principles
Delivering additional patient health care services, where allowable by law and supported by required training and certification

What we offer

medical coverage
dental coverage
vision coverage
paid time off
retirement savings options
wellness programs

Fulltime

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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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 11, 2025

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