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

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

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, 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

Night Care Assistant

Are you a Night Care Assistant who is passionate about providing quality care? L...

Location

United Kingdom , Londbridge

Salary:

13.64 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Hold a care certificate or be willing to undertake a care qualification
Personable, an effective communicator and a team player
Passionate about delivering quality care service
Flexible with hours

Job Responsibility

Provide all aspects of domiciliary care to our residents, including both physical, personal care and support with social activities
Promoting and supporting the physical, emotional and well-being of our residents
Encourage independence and self-belief
Ensure records and documents are completed in line with our policy

What we offer

Golden Hello for All New Care Assistant Starters Of £500! (Criteria Applies)
33 Days Annual Leave (FTE) Pro Rata for Part Time
Buy And Sell Holiday
Free Life Insurance
Cycle2work Scheme
Attendance Reward
Free Use of Onsite Gym
Up to 9% employer pension contribution (5% employee)
Blue Light Card discounts
Enhanced Maternity & Paternity allowance

Parttime

New

Mobile Associate - Retail Sales

This role supports retail operations by engaging customers and facilitating thei...

Location

United States , Bountiful

Salary:

18.00 - 23.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

High School Diploma/GED (Required)
6 months of customer service and/or sales experience, Retail environment. (Preferred)
Passionate customer advocate with the desire to be yourself when connecting and having fun doing it! (Required)
Competitive drive and proven ability to succeed in a fast-paced sales environment. (Required)
Willingness to work alongside peers and store leaders, learning and sharing ideas, while serving customers and providing resolutions to issues. (Required)
Effective at balancing customer needs and performance goals. (Required)
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Develop proficiency in customer service and sales to deliver personalized technology and service solutions that meet individual needs
Utilize digital tools to demonstrate network coverage, service plans, and product features to enhance customer understanding and engagement
Complete required training to build knowledge of retail processes, systems, and wireless technology innovations
Collaborate with colleagues across channels to support a seamless customer experience and contribute to team initiatives
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Parttime

New

Rn Per Diem Iii

Work within the nursing process to provide direct nursing care to assigned patie...

Location

United States , Albuquerque

Salary:

51.49 USD / Hour

UNM Hospitals

Expiration Date

Until further notice

Requirements

Program Graduate
Nationally Accredited Nursing Graduate
1 year directly related experience
CPR for Healthcare/BLS Prov or Prof Rescuers w/in 30 days
RN in NM or as allowed by reciprocal agreement by NM
Advanced Cardiac Life Support Certification
Bilingual English, Spanish, Keres, Tewa, Tiwa, Towa, Zuni, or Navajo
3 years directly related experience
Nationally Certified in area of specialty
PALS

Job Responsibility

Deliver safe direct care to an assigned group of patients as required
Work within Hospitals, Nursing division and departmental policies
Work in collaboration with the healthcare team, implement and document individualized care plans incorporating age specific considerations, including discharge planning and patient/family teaching
Assist with special tests and procedures, ensure proper consent has been obtained
Participate in orientation
upon successful completion of preceptor training assume precepting and evaluation responsibilities of new personnel
Assist with or institute emergency measures for sudden, adverse developments in patients
Ensure that patient medical records contain necessary information
Answer telephones and triage calls as per departmental policy
Administer medication, including IV medication, via the Seven Rights

What we offer

Full health/dental/vision with no deductible for full-time employees
Retirement with up to 6% match
PTO and 9 paid holidays
Amazing shift differentials including up to 26% for weekend nights
Sign-on bonuses and relocation assistance
17% Weekday Nights, 26% Weekend Nights and 15% Weekend Day shift differentials

Parttime

New

Restaurant Shift / Floor Manager

Tim Hortons has an ever-growing presence in the UK and we need great people like...

Location

United Kingdom , Dunstable

Salary:

13.37 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Previous restaurant management experience (or strong assistant ready to step up!)
A hands-on, can-do attitude
Love for food, people, and building a buzz
Calm under pressure – fast-paced? You thrive in it!
Excellent communication and leadership skills

Job Responsibility

Support in leading and inspiring an energetic team to deliver the best customer experience
Keep things running smoothly, from the customer lobby to the back-of-house operation
Drive performance, quality, and customer satisfaction every single shift
Manage stock, schedules, training and all those juicy operational bits

What we offer

Staff meals & discount
Opportunities to grow with a fun, expanding tea
Supportive, upbeat working environment
Career growth and development opportunities
Competitive salary and benefits

Fulltime

Select Country

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:
January 11, 2026

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Our AI answers in your language

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:January 11, 2026

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Job Posted:
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