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

Stagiaires audit

Coffra group is one of the first multidisciplinary firms in France deploying suc...

Location

France , Paris

Salary:

Not provided

Coffra Group

Expiration Date

Until further notice

Requirements

You are preparing a Master I / Master II, a gap year in Business School, are in a CCA / DSCG course or ideally looking for a final year internship
You have initial internships in Finance/Accounting/Management Control
You are looking for a 6-month internship in Audit from October 2026 to March 2027 or from January to June 2027
You are available for frequent travel in France
Student speaking English, ideally with knowledge of German.

Job Responsibility

Under the supervision of our seniors or managers, you will carry out statutory or contractual audit assignments for an international clientele
You will discover the audit profession quickly and completely: audit of simple cycles (fixed assets, purchases/suppliers, sales/customers, bank/financing), circularisations/inventories, analysis of legal documents, assistance in auditing complex cycles, verification of appendices and management reports, interviews with clients, etc.

Fulltime

New

Onsite Endoscopic Specialist

At KARL STORZ, we are driven by a mission to enhance global health through innov...

Location

United States , Arlington

Salary:

Not provided

KARL STORZ

Expiration Date

Until further notice

Requirements

A minimum of high school diploma or equivalent
Experience in Sterile Processing, Sales, or other Surgical Technology/Medical role
Our successful candidate will have excellent written and spoken English language business communication skills. They will also have demonstrated success working in a collaborative, service-oriented team environment.
Effective communicator, collaborative, and effective time management
Possess exceptional organizational skills and the ability to multi-task
MS Office - proficient user as the role will need to work with Excel spreadsheets and reporting
Role requires the completion of a drug screening for safety-sensitive positions
Must be able to lift/push/pull up to 25lbs

Job Responsibility

Face-to-face customer support, including OR, SPD and Biomed
Video tower/system set-up and support
Inspection, repair, troubleshooting and replacement of KARL STORZ devices
Monitoring, reporting, and facilitating repair/ exchange transactions
Transporting, cleaning/sterilization and packaging of instruments after use
Trouble shoot video and instrument issues in the O.R.
Instrument/equipment repair management

What we offer

Relocation Support
Professional Growth & Development
Collaborative & Dynamic Work Environment
Access to Cutting-Edge Medical Technologies
Medical / Dental / Vision including a state-of-the-art wellness program and pet insurance, too
3 weeks vacation, 11 holidays plus paid sick time
Up to 8 weeks of 100% paid company parental leave
401(k) retirement savings plan providing a match of 60% of the employee’s first 6% contribution (up to IRS limits)
Section 125 Flexible Spending Accounts
Life, STD, LTD & LTC Insurance

Fulltime

New

Pharmacy Technician

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

Location

United States , Columbus

Salary:

17.00 USD / Hour

CVS Health

Expiration Date

July 11, 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

Job Responsibility

Living our purpose by following all company SOPs at each workstation to help our Pharmacists manage and improve patient health
Following pharmacy workflow procedures at each pharmacy workstation (i.e., production, pick-up, drive-thru, and drop-off) for safe and accurate prescription fulfillment
Contributing to positive patient experiences by showing empathy and genuine care: creating heartfelt and personalized moments while serving patients at pick-up, drive-thru, and over the phone
keeping patients healthy by offering immunizations and other services at the register and over the phone
and demonstrating compassionate care by solving or escalating patient problems
Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team, such as accurately putting away medication deliveries and completing cycle counts, returns-to-stocks, waiting bin inventories, etc.
Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
actively seeking opportunities to expand clinical and technical knowledge needed to better assist patients
Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic
voluntarily traveling to stores in the market to work shifts as needed by the business

What we offer

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

Parttime

New

Assistant General Manager

Assistant General Manager, at Boston Pizza, one of Canada’s Best Managed Compani...

Location

Canada , Lac La Biche

Salary:

22.00 - 30.00 CAD / Hour

Boston Pizza

Expiration Date

Until further notice

Requirements

1+ year of casual dining experience
Previous leadership or supervisory experience is an asset
A positive attitude and strong work ethic
Excellent communication and team-building skills
Ability to thrive in a fast-paced environment
A passion for hospitality and guest service
Open availability

Job Responsibility

Support day-to-day operations
Lead and motivate the team
Ensure an exceptional guest experience

What we offer

Competitive pay
Medical
dental benefits
Staff accommodations available
Flexible scheduling
Room to grow within the company
Hands-on management training
A supportive, close-knit team environment

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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