PyTorch Jobs in New Jersey.
All active PyTorch roles based in New Jersey.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Manager, AI Engineering
Share this job
Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.
Position Summary
Primary Responsibilities
-
Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
-
Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
-
Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
-
Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
-
Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
-
Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
-
Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
-
Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
- Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
- Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
- Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
-
Other duties as assigned
Education/Experience/Skills
-
Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
-
5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
-
Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
-
Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
-
Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
-
Experience operating in a regulated environment and following GxP or similar compliance processes
-
Willingness and ability to travel domestically and internationally
Physical Requirements
This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.
#LI-HYBRID
#LI-CS1
In addition to a competitive base salary, this position is also eligible for discretionary bonus and equity awards based on factors such as individual and organizational performance. Actual amounts will vary depending on experience, performance, and location.
What we offer US-based Employees:
- Competitive base, bonus, new hire and ongoing equity packages
- Medical, dental, and vision insurance
- Employer-paid life, disability, business travel and EAP coverage
- 401(k) Plan with a fully vested company match 1:1 up to 5%
- Employee Stock Purchase Plan with a 2-year purchase price lock-in
- 15+ vacation days
- 13 -15 paid holidays, including office closure between December 24th and January 1st
- 10 days of paid sick time
- Paid parental leave benefit
- Tuition assistance
EEO Statement (US-based Employees): Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in the exact way they are described in job postings. We are committed to building a diverse, equitable, inclusive, and innovative company, and we are looking for the BEST candidate for the job. That candidate may be one who comes from a less traditional background or may meet the qualifications in a different way. We strongly encourage you to apply, especially if the reason you are the best candidate isn’t exactly what we describe here.
It is the policy of Acadia to provide equal employment opportunities to all employees and employment applicants without regard to considerations of race, including related to hairstyle, color, religion or religious creed, sexual orientation, gender, gender identity, gender expression, gender transition, country of origin, ancestry, citizenship, age, physical or mental disability, genetic information, legally-protected medical condition or information, marital status, domestic partner status, family care status, military caregiver status, veteran or military status (including reserve status, National Guard status, and military service or obligation), status as a victim of domestic violence, sexual assault or stalking, enrollment in a public assistance program, or any basis protected under federal, state or local law.
As an equal opportunity employer, Acadia is committed to a diverse workforce. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation. Furthermore, you may request additional support if you are unable or limited in your ability to use or access Acadia’s career website due to your disability, along with any accommodations throughout the interview process. To request or inquire about your reasonable accommodation, please complete our Reasonable Accommodation Request Form or contact us at talentacquisition@acadia-pharm.com or 858-261-2923.
Please note that reasonable accommodations granted throughout the recruiting process are not guaranteed to be the same accommodations given if hired. A new request will need to be submitted for any ADA accommodations after starting employment.
California Applicants: Please see Additional Information for California Residents within our Privacy Policy.
Canadian Applicants: Please see Additional Information for Canadian Residents within our Privacy Policy.
Applicants in the European Economic Area, Switzerland, the United Kingdom, and Serbia: Please see Additional Information for Individuals in the European Economic Area, Switzerland, the United Kingdom, and Serbia within our Privacy Policy.
Notice to Search Firms/Third-Party Recruitment Agencies (Recruiters): The Talent Acquisition team manages the recruitment and employment process for Acadia Pharmaceuticals Inc. (“Acadia”). Acadia does not accept resumes from recruiters or search firms without an executed search agreement in place. Resumes sent to Acadia employees in the absence of an executed search agreement will not obligate Acadia in any way with respect to the future employment of those individuals or potential remuneration to any recruiter or search firm. Candidates should never be submitted directly to our hiring managers or employees.
Ready to apply?
Apply to Acadia Pharmaceuticals Inc.
Senior AI/ML Engineer
Share this job
Who We Are
Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.
Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.
Responsibilities:
- Build complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
- Engineer and refine prompts to enhance AI performance and output quality
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
Requirements:
- Work with current state of the art LLMs and embedding models
- Experience building agentic AI systems
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience with building Retrieval-Augmented Generation (RAG) systems
- Engineer and refine prompts to enhance AI performance and output quality
- Knowledge of extracting structured outputs from LLMs
- Experience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
- Knowledge of LangChain, Pydantic, and scalable AI workflows
- Proficiency in prompt engineering and optimization techniques
- Some UI/UX experience is a plus
Qualifications:
- Minimum 5 years of experience in AI/ML development and data engineering
- Proficiency in programming languages Python
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
Preferred Qualifications:
- Experience in NLP, Generative AI, or deep learning models
- Proven track record of deploying AI solutions at scale
- Research background in generative AI models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus
#LI-JJ1 #LI-Onsite
Salary Range: $160,000.00 - $200,000.00
Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
Ready to apply?
Apply to Cross River