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

Inside Sales Representative - Building Mechanics

Are you a Building Mechanics expert with a passion for customer service? A leade...

Location

Canada , Laval

Salary:

52000.00 - 68000.00 CAD / Year

Randstad

Expiration Date

July 12, 2026

Requirements

Relevant education or experience in Building Mechanics, HVAC, Sheet Metal, or Refrigeration
Intermediate English level to interact with a diverse clientele outside of Quebec
Solid experience in customer service or technical sales
Autonomous profile, known for a calm and composed demeanor

Job Responsibility

Manage order taking, follow-ups, and provide in-depth technical advice to clients
Greet walk-in customers, identify their needs, and pick parts directly from the warehouse
Prepare technical quotes, handle invoicing, and process payments
Coordinate with suppliers for special orders
Use the AS400 system daily (upcoming migration to SAP)

What we offer

Competitive salary based on experience: $52,000 to $68,000
Stable daytime schedule: 8:00 AM to 5:00 PM, Monday to Friday
3 weeks of vacation starting the first year
Full collective insurance package with Sunlife after 3 months
Professional and structured work environment

Fulltime

New

Shift Supervisor

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

Location

United States , Reno

Salary:

17.00 - 26.00 USD / Hour

CVS Health

Expiration Date

July 11, 2026

Requirements

Deductive reasoning ability, analytical skills and computer skills
Advanced communication skills and supervision skills
Ability to work a flexible schedule, including some early morning, overnight and weekend shifts, to work overtime as needed, and to respond to urgent issues at the store when they arise

Job Responsibility

Work effectively with store management and store crews
Supervise the store's crew through assigning, directing and following up of all activities
Effectively communicate information both to and from store management and crews
Assist customers with their questions, problems and complaints
Promote CVS customer service culture (Greet, offer help, and thank)
Handle all customer relations issues in accordance with company policy and promote a positive shopping experience for all CVS customers
Maintain customer/patient confidentiality
Price merchandise
Stock shelves
Execute the displays, sign and inventory of weekly, promotional, and seasonal merchandise

What we offer

dental
vision
wellness resources
employee discounts
access to certain voluntary benefits
and other programs

Parttime

New

Shift Supervisor

A Shift Supervisor is a key leader supporting the CVS Store Management team in d...

Location

United States , Newtown Square

Salary:

16.50 - 24.00 USD / Hour

CVS Health

Expiration Date

July 11, 2026

Requirements

Deductive reasoning ability, analytical skills and computer skills.
Advanced communication skills and supervision skills
Ability to work a flexible schedule, including some early morning, overnight and weekend shifts, to work overtime as needed, and to respond to urgent issues at the store when they arise

Job Responsibility

Work effectively with store management and store crews
Supervise the store's crew through assigning, directing and following up of all activities
Effectively communicate information both to and from store management and crews
Assist customers with their questions, problems and complaints
Promote CVS customer service culture. (Greet, offer help, and thank)
Handle all customer relations issues in accordance with company policy and promote a positive shopping experience for all CVS customers
Maintain customer/patient confidentiality
Price merchandise
Stock shelves
Execute the displays, sign and inventory of weekly, promotional, and seasonal merchandise

What we offer

dental
vision
wellness resources
employee discounts
access to certain voluntary benefits
other programs

Parttime

New

HR Coordinator

We are looking for a HR Co-ordinator to assist the HR Onboarding team which is r...

Location

United Kingdom , Reading

Salary:

28000.00 GBP / Year

Thames Water

Expiration Date

May 29, 2026

Requirements

Great organisational skills
Able to multi-task
Highly organised and responsive, with an ability to deal with a high volume of queries each day
Great communication skills
Great IT skills including use of Microsoft Outlook
Advanced level of Excel
Resilient and able to be flexible to change in demands, whilst remaining approachable
Trustworthy, with the ability to maintain confidentiality
Able to be a positive ambassador for the People Team, representing your role and function positively and professionally at all times
Able to work in a remote HR Advisory service using a similar service model/approach is desirable

Job Responsibility

Supporting HR Administration across the People Team
Act as the first point of contact for customer enquiries forwarding specialist requests to other members of the HR department as appropriate
Maintain data using Company specific systems ensuring that records are accurate and up to date
Generate and issue formal documentation
Undertake ad hoc project work when required
Communicate with a broad range of people in a courteous and professional manner
Liaising with Line managers, the IT Service Desk, and the wider business
Updating employee records with changes to pension contributions
Undertaking ad-hoc reporting and providing project support as required
Taking responsibility for your workload and owning queries/cases through to resolution. If unable to resolve, triage and communicate effectively with all involved

What we offer

Competitive salary up to £28,000 per annum, depending on experience
Annual Leave - 24 days holiday per year increasing to 28 with the length of service (plus bank holidays)
Performance-related pay plan directly linked to company performance measures and targets
Generous Pension Scheme through AON
Access to lots of benefits to help you take care of you and your family's health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance

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:
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:
January 11, 2026