Top 10 sr machine learning scientist Jobs in oxnard, ca

Sr Machine Learning Engineer
Amgen —Thousand Oaks, CA
- $158,606 - $200,052 a year
- Online Application
- Hybrid work
- Computer Science
- Math
- Mentoring
- Disability insurance
- Health insurance
9d
Sr Machine Learning Scientist
Amgen —Thousand Oaks, CA
- $134,168.25 - $181,521.75 a year
- Remote
- Master's degree
- Doctor of Philosophy
- Senior level
- Disability insurance
- Health insurance
9d
Associate Director, Commercial Data Science
Amgen —Thousand Oaks, CA
- $194,636.40 - $263,331.60 a year
- Doctoral degree
- Office
- 3 years
- Disability insurance
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Sr. Physical Security Specialist
HII —Port Hueneme, CA
- $66,763 - $178,812 a year
- Email
- Construction site
- 5 years
- Mid-level
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5d
Senior AI/ML Engineer - Point Mugu, CA
F3EA Inc —Point Mugu, CA
- Extended hours
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Sr Protein Design Product Owner
Amgen —Thousand Oaks, CA
- $134,168.25 - $181,521.75 a year
- Remote
- Computer science
- Doctoral degree
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- Disability insurance
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9d
Process Development Senior Scientist - Drug Product Technologies
Amgen —Thousand Oaks, CA
- $126,066.05 - $170,559.95 a year
- Bachelor's degree
- Doctor of Philosophy
- In-person
- Disability insurance
- Health insurance
7d
SVP, Product Manager
Pennymac —Westlake Village, CA
- $140,000 - $175,000 a year
- 6 years
- Computer Science
- Office
- Paid holidays
- Health insurance
Principal Data Scientist
STRATEGYGEN CO —United States
- $130,000 - $165,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- Master's degree
- Health insurance
- Dental insurance
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Sr Machine Learning Engineer
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Sr Machine Learning Engineer

Amgen -
Thousand Oaks, CA

Apply Now

Job Details

Full-time
$158,606 - $200,052 a year
9 days ago

Benefits

Disability insurance
Health insurance
Dental insurance
Flexible spending account
Vision insurance
Retirement plan

Qualifications

AI models
Containerization systems
Version control
Data Integration (Data management)
Predictive modeling analysis
AI platforms (beyond public GPTs)
Machine learning cloud services
Machine intelligence
Inferential statistics
Supervised learning
Developing large-scale AI models
Model training
DevOps automation
Unsupervised learning
Machine learning frameworks
GitLab
MLOps
Data analysis software

Full Job Description

US - California - Thousand Oaks

JOB ID: R-243904 LOCATION: US - California - Thousand Oaks WORK LOCATION TYPE: Flex Commuter / Hybrid DATE POSTED: May. 28, 2026 CATEGORY: Engineering SALARY RANGE: -

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Machine Learning Engineer

Duties: Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas; Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen; Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms; Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment; Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift; Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models; Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle; and Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion. May telecommute.

Requirements: Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation. Position also requires 4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch; 2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures; 3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP; 4) Involved with data science platforms including Databricks and SageMaker; 5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis; 6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types; 7) Experience with software DevOps CI/CD tools and GitLab; and 8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job # R-243604.

Job type: Full Time position. The annual salary range for this position in the U.S. is $158,606.00 - $200,052.00

per year. Also, this position offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or for sales roles, other incentive compensation. For more details visit https://careers.amgen.com/life-at-amgen/benefits/

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Apply Now

Refine Your Search

sr machine learning scientist jobs in oxnard, ca

Sr Machine Learning Engineer

Sr Machine Learning Scientist

Associate Director, Commercial Data Science

Sr. Physical Security Specialist

Senior AI/ML Engineer - Point Mugu, CA

Sr Protein Design Product Owner

Process Development Senior Scientist - Drug Product Technologies

SVP, Product Manager

Principal Data Scientist

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